diff --git "a/unet/openvino_model.xml" "b/unet/openvino_model.xml"
--- "a/unet/openvino_model.xml"
+++ "b/unet/openvino_model.xml"
@@ -30,76 +30,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3" name="sample/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
+		<layer id="3" name="self.conv_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 4, 3, 3" offset="0" size="11520" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4" name="sample/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="4" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="5" name="sample/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="6" name="sample/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="4" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="7" name="sample/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="4" name="Convert_119537" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>320</dim>
 					<dim>4</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
 					<dim>4</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="8" name="Constant_1241599" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 4, 3, 3" offset="8" size="11520" />
+		<layer id="5" name="self.conv_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="11520" size="320" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>320</dim>
-					<dim>4</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="9" name="Convert_1241600" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="6" name="Convert_119540" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="self.conv_in.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>4</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>4</dim>
 					<dim>3</dim>
@@ -107,10 +115,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="10" name="Constant_1241601" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="11528" size="1280" />
+		<layer id="8" name="self.conv_in.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="11840" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -118,16 +126,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="11" name="__module.conv_in/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="9" name="self.conv_in.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>4</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -135,7 +143,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>4</dim>
 					<dim>3</dim>
@@ -143,7 +151,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="12" name="__module.conv_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="10" name="self.conv_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="__module.conv_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -168,8 +195,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="13" name="__module.conv_in/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="12808" size="1280" />
+		<layer id="12" name="__module.conv_in/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="12480" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -179,7 +206,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="14" name="__module.conv_in/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="13" name="__module.conv_in/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -204,23 +231,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="15" name="self.down_blocks.0.resnets.0.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="320" offset="14088" size="1280" />
+		<layer id="14" name="self.down_blocks.0.resnets.0.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="13760" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.0.resnets.0.norm1.weight">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="16" name="self.down_blocks.0.resnets.0.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="320" offset="15368" size="1280" />
+		<layer id="15" name="self.down_blocks.0.resnets.0.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="15040" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.0.resnets.0.norm1.bias">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="17" name="__module.down_blocks.0.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="16" name="__module.down_blocks.0.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -245,7 +272,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="18" name="__module.conv_act/aten::silu/Swish" type="Swish" version="opset4">
+		<layer id="17" name="__module.conv_act/aten::silu/Swish" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -263,76 +290,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="19" name="__module.conv_act/aten::silu/Swish/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="18" name="self.down_blocks.0.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320, 3, 3" offset="16320" size="921600" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="20" name="__module.conv_act/aten::silu/Swish/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16652" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="21" name="__module.conv_act/aten::silu/Swish/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="19" name="Convert_118041" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="22" name="__module.conv_act/aten::silu/Swish/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16652" size="4" />
+		<layer id="20" name="self.down_blocks.0.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="937920" size="320" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="23" name="__module.conv_act/aten::silu/Swish/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="21" name="Convert_118044" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="24" name="Constant_1241603" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 320, 3, 3" offset="16656" size="921600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="22" name="self.down_blocks.0.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="25" name="Convert_1241604" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>320</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
@@ -340,10 +375,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="26" name="Constant_1241605" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="938256" size="1280" />
+		<layer id="23" name="self.down_blocks.0.resnets.0.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="938240" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -351,16 +386,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="27" name="__module.down_blocks.0.resnets.0.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="24" name="self.down_blocks.0.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -368,7 +403,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="self.down_blocks.0.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
@@ -376,7 +430,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="28" name="__module.down_blocks.0.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="26" name="__module.down_blocks.0.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -401,8 +455,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="29" name="__module.down_blocks.0.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="939536" size="1280" />
+		<layer id="27" name="__module.down_blocks.0.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="938880" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -412,7 +466,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="30" name="__module.down_blocks.0.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="28" name="__module.down_blocks.0.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -437,7 +491,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="31" name="ShapeOf_79429" type="ShapeOf" version="opset3">
+		<layer id="29" name="ShapeOf_79429" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -453,21 +507,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="32" name="Constant_79430" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="940816" size="8" />
+		<layer id="30" name="Constant_79430" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="940160" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="33" name="Constant_79431" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="940816" size="8" />
+		<layer id="31" name="Constant_79431" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="940160" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="34" name="Gather_79432" type="Gather" version="opset8">
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@@ -484,7 +538,7 @@
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-		<layer id="35" name="aten::expand/Broadcast" type="Broadcast" version="opset3">
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@@ -500,13 +554,13 @@
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+		<layer id="34" name="68" type="Const" version="opset1">
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-		<layer id="37" name="__module.time_proj/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
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@@ -520,7 +574,7 @@
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-		<layer id="38" name="__module.time_proj/aten::to/Convert" type="Convert" version="opset1">
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@@ -535,8 +589,8 @@
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-			<data element_type="f32" shape="1, 160" offset="940832" size="640" />
+		<layer id="37" name="__module.time_proj/aten::slice/Slice_1" type="Const" version="opset1">
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@@ -544,7 +598,7 @@
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-		<layer id="40" name="__module.time_proj/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="38" name="__module.time_proj/aten::mul/Multiply_1" type="Multiply" version="opset1">
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@@ -563,7 +617,7 @@
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-		<layer id="41" name="__module.time_proj/aten::sin/Sin" type="Sin" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -577,7 +631,7 @@
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-		<layer id="42" name="__module.time_proj/aten::cos/Cos" type="Cos" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -591,7 +645,7 @@
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 		</layer>
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@@ -610,39 +664,39 @@
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+		<layer id="42" name="Constant_14345" type="Const" version="opset1">
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+		<layer id="43" name="Constant_14347" type="Const" version="opset1">
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+		<layer id="44" name="Constant_14349" type="Const" version="opset1">
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-			<data element_type="i64" shape="1" offset="940824" size="8" />
+		<layer id="45" name="__module.time_proj/aten::slice/Reshape_1" type="Const" version="opset1">
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-		<layer id="48" name="__module.time_proj/aten::slice/Slice_3" type="Slice" version="opset8">
+		<layer id="46" name="__module.time_proj/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -668,31 +722,31 @@
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+		<layer id="47" name="Constant_14365" type="Const" version="opset1">
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+		<layer id="48" name="Constant_14367" type="Const" version="opset1">
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-		<layer id="51" name="Constant_14369" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="940824" size="8" />
+		<layer id="49" name="Constant_14369" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="940168" size="8" />
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 				<port id="0" precision="I64">
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-		<layer id="52" name="__module.time_proj/aten::slice/Slice_5" type="Slice" version="opset8">
+		<layer id="50" name="__module.time_proj/aten::slice/Slice_5" type="Slice" version="opset8">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -718,7 +772,7 @@
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 		</layer>
-		<layer id="53" name="__module.time_proj/aten::cat/Concat_1" type="Concat" version="opset1">
+		<layer id="51" name="__module.time_proj/aten::cat/Concat_1" type="Concat" version="opset1">
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@@ -737,8 +791,8 @@
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-			<data element_type="u8" shape="1280, 320" offset="941488" size="409600" />
+		<layer id="52" name="self.time_embedding.linear_1.weight" type="Const" version="opset1">
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 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -746,7 +800,7 @@
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 		</layer>
-		<layer id="55" name="Convert_230568" type="Convert" version="opset1">
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@@ -761,8 +815,8 @@
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+		<layer id="54" name="self.time_embedding.linear_1.weight/zero_point" type="Const" version="opset1">
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 					<dim>1280</dim>
@@ -770,7 +824,7 @@
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 		</layer>
-		<layer id="57" name="Convert_230571" type="Convert" version="opset1">
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 			<input>
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@@ -785,7 +839,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
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@@ -804,8 +858,8 @@
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-			<data element_type="f16" shape="1280, 1" offset="1352368" size="2560" />
+		<layer id="57" name="self.time_embedding.linear_1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="1351712" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -813,7 +867,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
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@@ -832,7 +886,7 @@
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 		</layer>
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 			<data destination_type="f32" />
 			<input>
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@@ -847,7 +901,7 @@
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 		</layer>
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 			<data transpose_a="false" transpose_b="true" />
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@@ -866,8 +920,8 @@
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 		</layer>
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+		<layer id="61" name="Constant_76930" type="Const" version="opset1">
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 					<dim>1</dim>
@@ -875,7 +929,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -894,7 +948,7 @@
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 		</layer>
-		<layer id="65" name="__module.conv_act/aten::silu/Swish_1" type="Swish" version="opset4">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -908,8 +962,8 @@
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-			<data element_type="u8" shape="1280, 1280" offset="1360048" size="1638400" />
+		<layer id="64" name="self.time_embedding.linear_2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="1359392" size="1638400" />
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 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -917,7 +971,7 @@
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-		<layer id="67" name="Convert_229622" type="Convert" version="opset1">
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 			<input>
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@@ -932,8 +986,8 @@
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-			<data element_type="u8" shape="1280, 1" offset="2998448" size="1280" />
+		<layer id="66" name="self.time_embedding.linear_2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="2997792" size="1280" />
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 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -941,7 +995,7 @@
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 			</output>
 		</layer>
-		<layer id="69" name="Convert_229625" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
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@@ -956,7 +1010,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
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@@ -975,8 +1029,8 @@
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-			<data element_type="f16" shape="1280, 1" offset="2999728" size="2560" />
+		<layer id="69" name="self.time_embedding.linear_2.weight/scale" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -984,7 +1038,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -1003,7 +1057,7 @@
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 			<data destination_type="f32" />
 			<input>
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@@ -1018,7 +1072,7 @@
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 			<data transpose_a="false" transpose_b="true" />
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@@ -1037,8 +1091,8 @@
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@@ -1046,7 +1100,7 @@
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@@ -1065,7 +1119,7 @@
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1079,8 +1133,8 @@
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@@ -1088,7 +1142,7 @@
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 				<port id="0" precision="U8">
@@ -1103,8 +1157,8 @@
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@@ -1112,7 +1166,7 @@
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@@ -1127,7 +1181,7 @@
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+		<layer id="80" name="self.down_blocks.0.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -1146,8 +1200,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="83" name="self.down_blocks.0.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="3417328" size="640" />
+		<layer id="81" name="self.down_blocks.0.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="3416672" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -1155,7 +1209,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="84" name="self.down_blocks.0.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="82" name="self.down_blocks.0.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -1174,7 +1228,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="85" name="self.down_blocks.0.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="83" name="self.down_blocks.0.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -1189,7 +1243,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="86" name="__module.down_blocks.0.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="84" name="__module.down_blocks.0.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1208,8 +1262,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="87" name="Constant_76932" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320" offset="3417968" size="1280" />
+		<layer id="85" name="Constant_76932" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320" offset="3417312" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1217,7 +1271,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="88" name="__module.down_blocks.0.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="86" name="__module.down_blocks.0.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1236,13 +1290,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="89" name="134" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3419248" size="8" />
+		<layer id="87" name="134" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="3418592" size="8" />
 			<output>
 				<port id="0" precision="I64" names="134" />
 			</output>
 		</layer>
-		<layer id="90" name="__module.down_blocks.0.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="88" name="__module.down_blocks.0.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1258,13 +1312,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="91" name="135" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3419256" size="8" />
+		<layer id="89" name="135" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="3418600" size="8" />
 			<output>
 				<port id="0" precision="I64" names="135" />
 			</output>
 		</layer>
-		<layer id="92" name="__module.down_blocks.0.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="90" name="__module.down_blocks.0.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1282,7 +1336,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="93" name="__module.down_blocks.0.resnets.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="91" name="__module.down_blocks.0.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1307,23 +1361,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="94" name="self.down_blocks.0.resnets.0.norm2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="320" offset="3419264" size="1280" />
+		<layer id="92" name="self.down_blocks.0.resnets.0.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="3418608" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.0.resnets.0.norm2.weight">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="95" name="self.down_blocks.0.resnets.0.norm2.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="320" offset="3420544" size="1280" />
+		<layer id="93" name="self.down_blocks.0.resnets.0.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="3419888" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.0.resnets.0.norm2.bias">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="96" name="__module.down_blocks.0.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="94" name="__module.down_blocks.0.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1348,7 +1402,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="97" name="__module.conv_act/aten::silu/Swish_3" type="Swish" version="opset4">
+		<layer id="95" name="__module.conv_act/aten::silu/Swish_3" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1366,76 +1420,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="98" name="__module.conv_act/aten::silu/Swish_3/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="3421824" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="99" name="__module.conv_act/aten::silu/Swish_3/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="3421828" size="4" />
+		<layer id="96" name="self.down_blocks.0.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320, 3, 3" offset="3421168" size="921600" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="100" name="__module.conv_act/aten::silu/Swish_3/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="3421824" size="4" />
+		<layer id="97" name="Convert_118052" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="101" name="__module.conv_act/aten::silu/Swish_3/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="3421828" size="4" />
+		<layer id="98" name="self.down_blocks.0.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="4342768" size="320" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="102" name="__module.conv_act/aten::silu/Swish_3/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="99" name="Convert_118055" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="103" name="Constant_1241607" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 320, 3, 3" offset="3421832" size="921600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="100" name="self.down_blocks.0.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="104" name="Convert_1241608" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>320</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
@@ -1443,10 +1505,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="105" name="Constant_1241609" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="4343432" size="1280" />
+		<layer id="101" name="self.down_blocks.0.resnets.0.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="4343088" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -1454,16 +1516,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="106" name="__module.down_blocks.0.resnets.0.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="102" name="self.down_blocks.0.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -1471,7 +1533,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="103" name="self.down_blocks.0.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
@@ -1479,7 +1560,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="107" name="__module.down_blocks.0.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="104" name="__module.down_blocks.0.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1504,8 +1585,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="108" name="__module.down_blocks.0.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="4344712" size="1280" />
+		<layer id="105" name="__module.down_blocks.0.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="4343728" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1515,7 +1596,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="109" name="__module.down_blocks.0.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="106" name="__module.down_blocks.0.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1540,7 +1621,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="110" name="__module.down_blocks.0.resnets.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="107" name="__module.down_blocks.0.resnets.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1565,23 +1646,23 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="320" offset="4345992" size="1280" />
+		<layer id="108" name="self.down_blocks.0.attentions.0.norm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="4345008" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.0.attentions.0.norm.weight">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="320" offset="4347272" size="1280" />
+		<layer id="109" name="self.down_blocks.0.attentions.0.norm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="4346288" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.0.attentions.0.norm.bias">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="113" name="__module.down_blocks.0.attentions.0.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="110" name="__module.down_blocks.0.attentions.0.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1606,76 +1687,84 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="4348552" size="4" />
+		<layer id="111" name="self.down_blocks.0.attentions.0.proj_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320, 1, 1" offset="4347568" size="102400" />
 			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="115" name="__module.down_blocks.0.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="4348556" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="116" name="__module.down_blocks.0.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="4348552" size="4" />
+		<layer id="112" name="Convert_119097" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="4348556" size="4" />
+		<layer id="113" name="self.down_blocks.0.attentions.0.proj_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="4449968" size="320" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="118" name="__module.down_blocks.0.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="114" name="Convert_119100" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="119" name="Constant_1241611" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 320, 1, 1" offset="4348560" size="102400" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="115" name="self.down_blocks.0.attentions.0.proj_in.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="120" name="Convert_1241612" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>320</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -1683,10 +1772,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="121" name="Constant_1241613" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="4450960" size="1280" />
+		<layer id="116" name="self.down_blocks.0.attentions.0.proj_in.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="4450288" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -1694,16 +1783,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="122" name="__module.down_blocks.0.attentions.0.proj_in/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="117" name="self.down_blocks.0.attentions.0.proj_in.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
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 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -1711,7 +1800,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="118" name="self.down_blocks.0.attentions.0.proj_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -1719,7 +1827,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="123" name="__module.down_blocks.0.attentions.0.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="119" name="__module.down_blocks.0.attentions.0.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1744,8 +1852,8 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 320, 1, 1" offset="4452240" size="1280" />
+		<layer id="120" name="__module.down_blocks.0.attentions.0.proj_in/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="4450928" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1755,7 +1863,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="125" name="__module.down_blocks.0.attentions.0.proj_in/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="121" name="__module.down_blocks.0.attentions.0.proj_in/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1780,15 +1888,15 @@
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 			</output>
 		</layer>
-		<layer id="126" name="Constant_14716" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4453520" size="32" />
+		<layer id="122" name="Constant_14716" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4452208" size="32" />
 			<output>
 				<port id="0" precision="I64" names="212">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="127" name="__module.down_blocks.0.attentions.0/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="123" name="__module.down_blocks.0.attentions.0/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1809,15 +1917,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="128" name="Constant_79863" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="4453552" size="24" />
+		<layer id="124" name="Constant_79863" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="4452240" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="129" name="__module.down_blocks.0.attentions.0/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="125" name="__module.down_blocks.0.attentions.0/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1838,15 +1946,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="126" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="131" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="127" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1866,8 +1974,8 @@
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 		</layer>
-		<layer id="132" name="Constant_76933" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="4453580" size="1280" />
+		<layer id="128" name="Constant_76933" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="4452268" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1876,7 +1984,7 @@
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 			</output>
 		</layer>
-		<layer id="133" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="129" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1898,8 +2006,8 @@
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 			</output>
 		</layer>
-		<layer id="134" name="Constant_76934" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="4454860" size="1280" />
+		<layer id="130" name="Constant_76934" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="4453548" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1908,7 +2016,7 @@
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 			</output>
 		</layer>
-		<layer id="135" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="131" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1930,8 +2038,8 @@
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 		</layer>
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-			<data element_type="u8" shape="320, 320" offset="4456140" size="102400" />
+		<layer id="132" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="4454828" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -1939,7 +2047,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="137" name="Convert_231151" type="Convert" version="opset1">
+		<layer id="133" name="Convert_119130" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -1954,8 +2062,8 @@
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 		</layer>
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-			<data element_type="u8" shape="320, 1" offset="4558540" size="320" />
+		<layer id="134" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="4557228" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -1963,7 +2071,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="139" name="Convert_231154" type="Convert" version="opset1">
+		<layer id="135" name="Convert_119133" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -1978,7 +2086,7 @@
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 		</layer>
-		<layer id="140" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="136" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -1997,8 +2105,8 @@
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 		</layer>
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-			<data element_type="f16" shape="320, 1" offset="4558860" size="640" />
+		<layer id="137" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="4557548" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -2006,7 +2114,7 @@
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 			</output>
 		</layer>
-		<layer id="142" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="138" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -2025,7 +2133,7 @@
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 		</layer>
-		<layer id="143" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="139" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -2040,7 +2148,7 @@
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 		</layer>
-		<layer id="144" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="140" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2061,60 +2169,15 @@
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-			<data element_type="f32" shape="" offset="4559500" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="147" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
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-			<output>
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-			<output>
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-		<layer id="150" name="Constant_79864" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4559508" size="32" />
+		<layer id="141" name="Constant_79864" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
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 				<port id="0" precision="I64">
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 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2135,15 +2198,15 @@
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+		<layer id="143" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
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 				<port id="0" precision="I32">
 					<dim>4</dim>
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2164,8 +2227,8 @@
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 		</layer>
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-			<data element_type="u8" shape="320, 320" offset="4559556" size="102400" />
+		<layer id="145" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="4558236" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -2173,7 +2236,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="155" name="Convert_231140" type="Convert" version="opset1">
+		<layer id="146" name="Convert_119119" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -2188,8 +2251,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="320, 1" offset="4661956" size="320" />
+		<layer id="147" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="4660636" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -2197,7 +2260,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="157" name="Convert_231143" type="Convert" version="opset1">
+		<layer id="148" name="Convert_119122" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -2212,7 +2275,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -2231,8 +2294,8 @@
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 		</layer>
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-			<data element_type="f16" shape="320, 1" offset="4662276" size="640" />
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 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -2240,7 +2303,7 @@
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 		</layer>
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 			<input>
 				<port id="0" precision="FP16">
@@ -2259,7 +2322,7 @@
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 			</output>
 		</layer>
-		<layer id="161" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="152" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
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 			<input>
 				<port id="0" precision="FP16">
@@ -2274,7 +2337,7 @@
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 		</layer>
-		<layer id="162" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
@@ -2295,60 +2358,204 @@
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 		</layer>
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-			<data element_type="f32" shape="" offset="4662916" size="4" />
+		<layer id="154" name="Constant_79865" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="155" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>320</dim>
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+				<port id="1" precision="I64">
+					<dim>4</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="250">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="156" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="157" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
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+				<port id="1" precision="I32">
+					<dim>4</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="251">
+					<dim>-1</dim>
+					<dim>8</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="158" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="4661596" size="102400" />
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+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="159" name="Convert_119108" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
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 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="4662920" size="4" />
+		<layer id="160" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="4763996" size="320" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="4662916" size="4" />
+		<layer id="161" name="Convert_119111" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
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 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="162" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP16">
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+					<dim>320</dim>
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+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
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+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="163" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="4764316" size="640" />
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+				<port id="0" precision="FP16">
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+					<dim>1</dim>
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+		</layer>
+		<layer id="164" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+					<dim>320</dim>
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+					<dim>1</dim>
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+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="4662920" size="4" />
+		<layer id="165" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
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+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
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 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
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 			</output>
 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="166" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
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 			</input>
 			<output>
-				<port id="5" precision="FP32">
+				<port id="2" precision="FP32" names="239,value.1">
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 					<dim>-1</dim>
 					<dim>320</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="4559508" size="32" />
+		<layer id="167" name="Constant_79866" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 			<data special_zero="true" />
 			<input>
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@@ -2361,7 +2568,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="250">
+				<port id="2" precision="FP32" names="253">
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 					<dim>-1</dim>
 					<dim>8</dim>
@@ -2369,204 +2576,15 @@
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 				<port id="0" precision="I32">
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+		<layer id="170" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
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 					<dim>-1</dim>
@@ -2587,7 +2605,7 @@
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 		</layer>
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@@ -2618,15 +2636,15 @@
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 		</layer>
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 				<port id="0" precision="I32">
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 		</layer>
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 			<input>
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 					<dim>-1</dim>
@@ -2647,15 +2665,15 @@
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 		</layer>
-		<layer id="188" name="Constant_79867" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="4766284" size="24" />
+		<layer id="174" name="Constant_79867" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="4764956" size="24" />
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 				<port id="0" precision="I64">
 					<dim>3</dim>
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+		<layer id="175" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2676,8 +2694,8 @@
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 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -2685,7 +2703,7 @@
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 			</output>
 		</layer>
-		<layer id="191" name="Convert_231162" type="Convert" version="opset1">
+		<layer id="177" name="Convert_119141" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -2700,8 +2718,8 @@
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 		</layer>
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-			<data element_type="u8" shape="320, 1" offset="4868708" size="320" />
+		<layer id="178" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="4867380" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -2709,7 +2727,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="193" name="Convert_231165" type="Convert" version="opset1">
+		<layer id="179" name="Convert_119144" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -2724,7 +2742,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -2743,8 +2761,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="320, 1" offset="4869028" size="640" />
+		<layer id="181" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="4867700" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -2752,7 +2770,7 @@
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 			</output>
 		</layer>
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+		<layer id="182" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -2771,7 +2789,7 @@
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 			</output>
 		</layer>
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+		<layer id="183" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -2786,7 +2804,7 @@
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 			</output>
 		</layer>
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+		<layer id="184" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -2807,8 +2825,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="199" name="Constant_76935" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="4869668" size="1280" />
+		<layer id="185" name="Constant_76935" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="4868340" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2817,7 +2835,7 @@
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 			</output>
 		</layer>
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+		<layer id="186" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2839,7 +2857,7 @@
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 			</output>
 		</layer>
-		<layer id="201" name="__module.down_blocks.0.attentions.0.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="187" name="__module.down_blocks.0.attentions.0.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2861,15 +2879,15 @@
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 		</layer>
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="188" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 			</output>
 		</layer>
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+		<layer id="189" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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 				<port id="0" precision="FP32">
@@ -2889,8 +2907,8 @@
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 		</layer>
-		<layer id="204" name="Constant_76936" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="4870948" size="1280" />
+		<layer id="190" name="Constant_76936" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="4869620" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2899,7 +2917,7 @@
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+		<layer id="191" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2921,8 +2939,8 @@
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-		<layer id="206" name="Constant_76937" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="4872228" size="1280" />
+		<layer id="192" name="Constant_76937" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="4870900" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2931,7 +2949,7 @@
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+		<layer id="193" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2953,8 +2971,8 @@
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+			<data element_type="u8" shape="320, 320" offset="4872180" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -2962,7 +2980,7 @@
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 			</output>
 		</layer>
-		<layer id="209" name="Convert_231173" type="Convert" version="opset1">
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 			<input>
 				<port id="0" precision="U8">
@@ -2977,8 +2995,8 @@
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-			<data element_type="u8" shape="320, 1" offset="4975908" size="320" />
+		<layer id="196" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="4974580" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -2986,7 +3004,7 @@
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 			</output>
 		</layer>
-		<layer id="211" name="Convert_231176" type="Convert" version="opset1">
+		<layer id="197" name="Convert_119155" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -3001,7 +3019,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -3020,8 +3038,8 @@
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+			<data element_type="f16" shape="320, 1" offset="4974900" size="640" />
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 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -3029,7 +3047,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -3048,7 +3066,7 @@
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 			<input>
 				<port id="0" precision="FP16">
@@ -3063,7 +3081,7 @@
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@@ -3084,76 +3102,31 @@
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-		<layer id="223" name="Constant_15471" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4976884" size="8" />
+		<layer id="204" name="Constant_15471" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4975548" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="224" name="Constant_15514" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4976892" size="8" />
+		<layer id="205" name="Constant_15514" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4975556" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
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+		<layer id="206" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/prim::ListConstruct" type="Concat" version="opset1">
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 			<input>
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@@ -3175,7 +3148,7 @@
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+		<layer id="207" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3196,15 +3169,15 @@
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 		</layer>
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="208" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
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 			</output>
 		</layer>
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+		<layer id="209" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3225,8 +3198,8 @@
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-			<data element_type="u8" shape="320, 768" offset="4976900" size="245760" />
+		<layer id="210" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="4975564" size="245760" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -3234,7 +3207,7 @@
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 			</output>
 		</layer>
-		<layer id="230" name="Convert_231030" type="Convert" version="opset1">
+		<layer id="211" name="Convert_118965" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -3249,8 +3222,8 @@
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-			<data element_type="u8" shape="320, 1" offset="5222660" size="320" />
+		<layer id="212" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="5221324" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -3258,7 +3231,7 @@
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 			</output>
 		</layer>
-		<layer id="232" name="Convert_231033" type="Convert" version="opset1">
+		<layer id="213" name="Convert_118968" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -3273,7 +3246,7 @@
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 		</layer>
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+		<layer id="214" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -3292,8 +3265,8 @@
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-			<data element_type="f16" shape="320, 1" offset="5222980" size="640" />
+		<layer id="215" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="5221644" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -3301,7 +3274,7 @@
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 		</layer>
-		<layer id="235" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="216" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -3320,7 +3293,7 @@
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 		</layer>
-		<layer id="236" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="217" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -3335,7 +3308,7 @@
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+		<layer id="218" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3356,60 +3329,15 @@
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 		</layer>
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-			<data element_type="f32" shape="" offset="5223620" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="239" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="5223624" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="240" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="5223620" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="241" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="5223624" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
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-		<layer id="242" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-			<output>
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-					<dim>-1</dim>
-					<dim>77</dim>
-					<dim>320</dim>
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-			</output>
-		</layer>
-		<layer id="243" name="Constant_79868" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4559508" size="32" />
+		<layer id="219" name="Constant_79868" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
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+		<layer id="220" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3430,15 +3358,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="221" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="246" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="222" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3459,8 +3387,8 @@
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 			</output>
 		</layer>
-		<layer id="247" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 768" offset="5223628" size="245760" />
+		<layer id="223" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="5222284" size="245760" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -3468,7 +3396,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="248" name="Convert_231019" type="Convert" version="opset1">
+		<layer id="224" name="Convert_118954" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -3483,8 +3411,8 @@
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 			</output>
 		</layer>
-		<layer id="249" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="5469388" size="320" />
+		<layer id="225" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="5468044" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -3492,7 +3420,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="250" name="Convert_231022" type="Convert" version="opset1">
+		<layer id="226" name="Convert_118957" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -3507,7 +3435,7 @@
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 			</output>
 		</layer>
-		<layer id="251" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="227" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -3526,8 +3454,8 @@
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 			</output>
 		</layer>
-		<layer id="252" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="5469708" size="640" />
+		<layer id="228" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="5468364" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -3535,7 +3463,7 @@
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 			</output>
 		</layer>
-		<layer id="253" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="229" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -3554,7 +3482,7 @@
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 			</output>
 		</layer>
-		<layer id="254" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="230" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -3569,7 +3497,7 @@
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 			</output>
 		</layer>
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+		<layer id="231" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
@@ -3590,15 +3518,15 @@
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 			</output>
 		</layer>
-		<layer id="256" name="Constant_79869" type="Const" version="opset1">
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+		<layer id="232" name="Constant_79869" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
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 		</layer>
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 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3619,15 +3547,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="234" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
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 			</output>
 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3648,7 +3576,7 @@
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 		</layer>
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 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3679,15 +3607,15 @@
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 		</layer>
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 			<output>
 				<port id="0" precision="I32">
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 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3708,15 +3636,15 @@
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 		</layer>
-		<layer id="263" name="Constant_79870" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="4766284" size="24" />
+		<layer id="239" name="Constant_79870" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="4764956" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
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 			<data special_zero="true" />
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 				<port id="0" precision="FP32">
@@ -3737,8 +3665,8 @@
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 			</output>
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-			<data element_type="u8" shape="320, 320" offset="5470348" size="102400" />
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+			<data element_type="u8" shape="320, 320" offset="5469004" size="102400" />
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 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -3746,7 +3674,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="266" name="Convert_231184" type="Convert" version="opset1">
+		<layer id="242" name="Convert_119163" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -3761,8 +3689,8 @@
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 		</layer>
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-			<data element_type="u8" shape="320, 1" offset="5572748" size="320" />
+		<layer id="243" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="5571404" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -3770,7 +3698,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="268" name="Convert_231187" type="Convert" version="opset1">
+		<layer id="244" name="Convert_119166" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -3785,7 +3713,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -3804,8 +3732,8 @@
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 		</layer>
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-			<data element_type="f16" shape="320, 1" offset="5573068" size="640" />
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+			<data element_type="f16" shape="320, 1" offset="5571724" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -3813,7 +3741,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="247" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -3832,7 +3760,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="248" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -3847,7 +3775,7 @@
 				</port>
 			</output>
 		</layer>
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 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3868,8 +3796,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="274" name="Constant_76938" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="5573708" size="1280" />
+		<layer id="250" name="Constant_76938" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="5572364" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3878,7 +3806,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="251" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3900,7 +3828,7 @@
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 			</output>
 		</layer>
-		<layer id="276" name="__module.down_blocks.0.attentions.0.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="252" name="__module.down_blocks.0.attentions.0.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3922,15 +3850,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="253" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="254" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3950,8 +3878,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="279" name="Constant_76939" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="5574988" size="1280" />
+		<layer id="255" name="Constant_76939" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3960,7 +3888,7 @@
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 			</output>
 		</layer>
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+		<layer id="256" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3982,8 +3910,8 @@
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 			</output>
 		</layer>
-		<layer id="281" name="Constant_76940" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="5576268" size="1280" />
+		<layer id="257" name="Constant_76940" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="5574924" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3992,7 +3920,7 @@
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 			</output>
 		</layer>
-		<layer id="282" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="258" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4014,8 +3942,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="2560, 320" offset="5577548" size="819200" />
+		<layer id="259" name="self.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 320" offset="5576204" size="819200" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -4023,7 +3951,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="284" name="Convert_230348" type="Convert" version="opset1">
+		<layer id="260" name="Convert_118129" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -4038,8 +3966,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="2560, 1" offset="6396748" size="2560" />
+		<layer id="261" name="self.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="6395404" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -4047,7 +3975,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="286" name="Convert_230351" type="Convert" version="opset1">
+		<layer id="262" name="Convert_118132" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -4062,7 +3990,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -4081,8 +4009,8 @@
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 			</output>
 		</layer>
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+		<layer id="264" name="self.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="6397964" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -4090,7 +4018,7 @@
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 		</layer>
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+		<layer id="265" name="self.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -4109,7 +4037,7 @@
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 			</output>
 		</layer>
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+		<layer id="266" name="self.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -4124,7 +4052,7 @@
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 			</output>
 		</layer>
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 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4145,8 +4073,8 @@
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 		</layer>
-		<layer id="292" name="Constant_76941" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="6404428" size="10240" />
+		<layer id="268" name="Constant_76941" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="6403084" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4155,7 +4083,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4177,13 +4105,13 @@
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 		</layer>
-		<layer id="294" name="123" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4976876" size="8" />
+		<layer id="270" name="123" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4975540" size="8" />
 			<output>
 				<port id="0" precision="I64" names="123" />
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 		</layer>
-		<layer id="295" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
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 			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4198,15 +4126,15 @@
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 			</output>
 		</layer>
-		<layer id="296" name="Constant_44607" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="6414668" size="4" />
+		<layer id="272" name="Constant_44607" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 		</layer>
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 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -4221,13 +4149,13 @@
 				<port id="3" precision="I32" />
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 		</layer>
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-			<data element_type="i32" shape="" offset="6414672" size="4" />
+		<layer id="274" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I32" />
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 		</layer>
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 			<data auto_broadcast="numpy" m_pythondiv="true" />
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 				<port id="0" precision="I32" />
@@ -4237,7 +4165,7 @@
 				<port id="2" precision="I32" />
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 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -4247,7 +4175,7 @@
 				<port id="2" precision="I32" />
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 		</layer>
-		<layer id="301" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -4261,7 +4189,7 @@
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 			</output>
 		</layer>
-		<layer id="302" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
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 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="BOOL">
@@ -4274,7 +4202,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -4288,15 +4216,15 @@
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-		<layer id="304" name="Constant_44608" type="Const" version="opset1">
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+		<layer id="280" name="Constant_44608" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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+		<layer id="281" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
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 				<port id="0" precision="I32">
@@ -4312,7 +4240,7 @@
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 			</output>
 		</layer>
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+		<layer id="282" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4337,7 +4265,7 @@
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 		</layer>
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+		<layer id="283" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
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 			<input>
 				<port id="0" precision="FP32">
@@ -4354,7 +4282,7 @@
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 		</layer>
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+		<layer id="284" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4376,8 +4304,8 @@
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 		</layer>
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-			<data element_type="u8" shape="320, 1280" offset="6414676" size="409600" />
+		<layer id="285" name="self.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1280" offset="6413332" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -4385,7 +4313,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="310" name="Convert_230612" type="Convert" version="opset1">
+		<layer id="286" name="Convert_118426" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -4400,8 +4328,8 @@
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 		</layer>
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-			<data element_type="u8" shape="320, 1" offset="6824276" size="320" />
+		<layer id="287" name="self.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="6822932" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -4409,7 +4337,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="312" name="Convert_230615" type="Convert" version="opset1">
+		<layer id="288" name="Convert_118429" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -4424,7 +4352,7 @@
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 		</layer>
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+		<layer id="289" name="self.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -4443,8 +4371,8 @@
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 		</layer>
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-			<data element_type="f16" shape="320, 1" offset="6824596" size="640" />
+		<layer id="290" name="self.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="6823252" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -4452,7 +4380,7 @@
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 			</output>
 		</layer>
-		<layer id="315" name="self.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="291" name="self.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -4471,7 +4399,7 @@
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 			</output>
 		</layer>
-		<layer id="316" name="self.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="292" name="self.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -4486,7 +4414,7 @@
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 			</output>
 		</layer>
-		<layer id="317" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="293" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4507,8 +4435,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="318" name="Constant_76942" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="6825236" size="1280" />
+		<layer id="294" name="Constant_76942" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="6823892" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4517,7 +4445,7 @@
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 		</layer>
-		<layer id="319" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+		<layer id="295" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4539,7 +4467,7 @@
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 			</output>
 		</layer>
-		<layer id="320" name="__module.down_blocks.0.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="296" name="__module.down_blocks.0.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4561,52 +4489,7 @@
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 			</output>
 		</layer>
-		<layer id="321" name="__module.down_blocks.0.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="6826516" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="322" name="__module.down_blocks.0.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="6826520" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="323" name="__module.down_blocks.0.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="6826516" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
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-		<layer id="324" name="__module.down_blocks.0.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="6826520" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="325" name="__module.down_blocks.0.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>320</dim>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-			<output>
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-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>320</dim>
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-			</output>
-		</layer>
-		<layer id="326" name="__module.down_blocks.0.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="297" name="__module.down_blocks.0.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4622,21 +4505,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="327" name="Constant_73151" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="6826524" size="24" />
+		<layer id="298" name="Constant_73151" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="6825172" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="328" name="Constant_73152" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="940816" size="8" />
+		<layer id="299" name="Constant_73152" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="940160" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="329" name="Gather_73153" type="Gather" version="opset8">
+		<layer id="300" name="Gather_73153" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -4653,15 +4536,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="330" name="Constant_16013" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="6826548" size="8" />
+		<layer id="301" name="Constant_16013" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="6825196" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="331" name="__module.down_blocks.0.attentions.0/prim::ListConstruct_1" type="Concat" version="opset1">
+		<layer id="302" name="__module.down_blocks.0.attentions.0/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -4677,7 +4560,7 @@
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 			</output>
 		</layer>
-		<layer id="332" name="__module.down_blocks.0.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+		<layer id="303" name="__module.down_blocks.0.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4698,15 +4581,15 @@
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 			</output>
 		</layer>
-		<layer id="333" name="Constant_16022" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="6826556" size="32" />
+		<layer id="304" name="Constant_16022" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="6825204" size="32" />
 			<output>
 				<port id="0" precision="I64" names="336">
 					<dim>4</dim>
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 			</output>
 		</layer>
-		<layer id="334" name="__module.down_blocks.0.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="305" name="__module.down_blocks.0.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4727,10 +4610,10 @@
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 			</output>
 		</layer>
-		<layer id="335" name="Constant_1241615" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 320, 1, 1" offset="6826588" size="102400" />
+		<layer id="306" name="self.down_blocks.0.attentions.0.proj_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320, 1, 1" offset="6825236" size="102400" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -4738,10 +4621,10 @@
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 			</output>
 		</layer>
-		<layer id="336" name="Convert_1241616" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="307" name="Convert_119174" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -4749,7 +4632,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -4757,10 +4640,29 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="337" name="Constant_1241617" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="6928988" size="1280" />
+		<layer id="308" name="self.down_blocks.0.attentions.0.proj_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="6927636" size="320" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="309" name="Convert_119177" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -4768,16 +4670,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="338" name="__module.down_blocks.0.attentions.0.proj_out/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="310" name="self.down_blocks.0.attentions.0.proj_out.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -4785,7 +4687,62 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="311" name="self.down_blocks.0.attentions.0.proj_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="6927956" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="312" name="self.down_blocks.0.attentions.0.proj_out.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="313" name="self.down_blocks.0.attentions.0.proj_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -4793,7 +4750,7 @@
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 			</output>
 		</layer>
-		<layer id="339" name="__module.down_blocks.0.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="314" name="__module.down_blocks.0.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4818,8 +4775,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 320, 1, 1" offset="6930268" size="1280" />
+		<layer id="315" name="__module.down_blocks.0.attentions.0.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="6928596" size="1280" />
 			<output>
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@@ -4829,7 +4786,7 @@
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 			<data auto_broadcast="numpy" />
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@@ -4854,7 +4811,7 @@
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@@ -4879,23 +4836,23 @@
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-			<data element_type="f32" shape="320" offset="6931548" size="1280" />
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-			<data element_type="f32" shape="320" offset="6932828" size="1280" />
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@@ -4920,7 +4877,7 @@
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 		</layer>
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4938,76 +4895,84 @@
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-			<data element_type="f32" shape="" offset="16648" size="4" />
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 			<output>
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-				<port id="0" precision="FP32" />
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+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="323" name="Convert_118063" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="6934108" size="4" />
+		<layer id="324" name="self.down_blocks.0.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="7854036" size="320" />
 			<output>
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="325" name="Convert_118066" type="Convert" version="opset1">
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 			<input>
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 			<output>
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 					<dim>320</dim>
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-					<dim>-1</dim>
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-			<output>
-				<port id="0" precision="I8">
+		<layer id="326" name="self.down_blocks.0.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
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 					<dim>320</dim>
 					<dim>3</dim>
 					<dim>3</dim>
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-			<input>
-				<port id="0" precision="I8">
-					<dim>320</dim>
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 					<dim>320</dim>
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-					<dim>3</dim>
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 			</input>
 			<output>
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 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
@@ -5015,10 +4980,10 @@
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-			<data element_type="f32" shape="320, 1, 1, 1" offset="7855712" size="1280" />
+		<layer id="327" name="self.down_blocks.0.resnets.1.conv1.weight/scale" type="Const" version="opset1">
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 			<output>
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 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -5026,16 +4991,16 @@
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 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
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 					<dim>320</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
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 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -5043,7 +5008,7 @@
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 			</input>
 			<output>
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 					<dim>320</dim>
 					<dim>3</dim>
@@ -5051,7 +5016,26 @@
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 		</layer>
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+		<layer id="329" name="self.down_blocks.0.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="330" name="__module.down_blocks.0.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5076,8 +5060,8 @@
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 		</layer>
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-			<data element_type="f32" shape="1, 320, 1, 1" offset="7856992" size="1280" />
+		<layer id="331" name="__module.down_blocks.0.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="7854996" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5087,7 +5071,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5112,8 +5096,8 @@
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+		<layer id="333" name="self.down_blocks.0.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
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 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -5121,7 +5105,7 @@
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 			</output>
 		</layer>
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -5136,8 +5120,8 @@
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-			<data element_type="u8" shape="320, 1" offset="8267872" size="320" />
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 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -5145,7 +5129,7 @@
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 		</layer>
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -5160,7 +5144,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -5179,8 +5163,8 @@
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-			<data element_type="f16" shape="320, 1" offset="8268192" size="640" />
+		<layer id="338" name="self.down_blocks.0.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="8266196" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -5188,7 +5172,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -5207,7 +5191,7 @@
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 		</layer>
-		<layer id="366" name="self.down_blocks.0.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
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 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -5222,7 +5206,7 @@
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 		</layer>
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 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -5241,8 +5225,8 @@
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-			<data element_type="f32" shape="1, 320" offset="8268832" size="1280" />
+		<layer id="342" name="Constant_76943" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5250,7 +5234,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5269,7 +5253,7 @@
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5285,7 +5269,7 @@
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5303,7 +5287,7 @@
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 			<input>
 				<port id="0" precision="FP32">
@@ -5328,23 +5312,23 @@
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 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.0.resnets.1.norm2.weight">
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+		<layer id="348" name="self.down_blocks.0.resnets.1.norm2.bias" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.0.resnets.1.norm2.bias">
 					<dim>320</dim>
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 		</layer>
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 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
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 				<port id="0" precision="FP32">
@@ -5369,7 +5353,7 @@
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 			</output>
 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5387,76 +5371,84 @@
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-			<data element_type="f32" shape="" offset="8272676" size="4" />
+		<layer id="351" name="self.down_blocks.0.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320, 3, 3" offset="8270676" size="921600" />
 			<output>
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+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 		</layer>
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-			<data element_type="f32" shape="" offset="8272672" size="4" />
+		<layer id="352" name="Convert_118074" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="380" name="__module.conv_act/aten::silu/Swish_6/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="8272676" size="4" />
+		<layer id="353" name="self.down_blocks.0.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="9192276" size="320" />
 			<output>
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+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="354" name="Convert_118077" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>320</dim>
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-					<dim>-1</dim>
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 			<output>
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+				<port id="1" precision="FP16">
 					<dim>320</dim>
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-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data element_type="i8" shape="320, 320, 3, 3" offset="8272680" size="921600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="355" name="self.down_blocks.0.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
 					<dim>3</dim>
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-			<input>
-				<port id="0" precision="I8">
-					<dim>320</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
@@ -5464,10 +5456,10 @@
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 		</layer>
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-			<data element_type="f32" shape="320, 1, 1, 1" offset="9194280" size="1280" />
+		<layer id="356" name="self.down_blocks.0.resnets.1.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="9192596" size="640" />
 			<output>
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 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -5475,16 +5467,16 @@
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 		</layer>
-		<layer id="385" name="__module.down_blocks.0.resnets.1.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="357" name="self.down_blocks.0.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
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 					<dim>320</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -5492,7 +5484,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="358" name="self.down_blocks.0.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
@@ -5500,7 +5511,7 @@
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 			</output>
 		</layer>
-		<layer id="386" name="__module.down_blocks.0.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="359" name="__module.down_blocks.0.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5525,8 +5536,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 320, 1, 1" offset="9195560" size="1280" />
+		<layer id="360" name="__module.down_blocks.0.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="9193236" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5536,7 +5547,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5561,7 +5572,7 @@
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 			</output>
 		</layer>
-		<layer id="389" name="__module.down_blocks.0.resnets.1/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="362" name="__module.down_blocks.0.resnets.1/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5586,23 +5597,23 @@
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 		</layer>
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-			<data element_type="f32" shape="320" offset="9196840" size="1280" />
+		<layer id="363" name="self.down_blocks.0.attentions.1.norm.weight" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.0.attentions.1.norm.weight">
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 		</layer>
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-			<data element_type="f32" shape="320" offset="9198120" size="1280" />
+		<layer id="364" name="self.down_blocks.0.attentions.1.norm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="9195796" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.0.attentions.1.norm.bias">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="392" name="__module.down_blocks.0.attentions.1.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="365" name="__module.down_blocks.0.attentions.1.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5627,76 +5638,84 @@
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 			</output>
 		</layer>
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-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="394" name="__module.down_blocks.0.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="9199404" size="4" />
+		<layer id="366" name="self.down_blocks.0.attentions.1.proj_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320, 1, 1" offset="9197076" size="102400" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="395" name="__module.down_blocks.0.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="9199400" size="4" />
+		<layer id="367" name="Convert_119185" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="396" name="__module.down_blocks.0.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="9199404" size="4" />
+		<layer id="368" name="self.down_blocks.0.attentions.1.proj_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="9299476" size="320" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="397" name="__module.down_blocks.0.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="369" name="Convert_119188" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 				</port>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="398" name="Constant_1241627" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 320, 1, 1" offset="9199408" size="102400" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="370" name="self.down_blocks.0.attentions.1.proj_in.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
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-		<layer id="399" name="Convert_1241628" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>320</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -5704,10 +5723,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="400" name="Constant_1241629" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="9301808" size="1280" />
+		<layer id="371" name="self.down_blocks.0.attentions.1.proj_in.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="9299796" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -5715,16 +5734,16 @@
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 			</output>
 		</layer>
-		<layer id="401" name="__module.down_blocks.0.attentions.1.proj_in/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="372" name="self.down_blocks.0.attentions.1.proj_in.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -5732,7 +5751,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="373" name="self.down_blocks.0.attentions.1.proj_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -5740,7 +5778,7 @@
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 			</output>
 		</layer>
-		<layer id="402" name="__module.down_blocks.0.attentions.1.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="374" name="__module.down_blocks.0.attentions.1.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5765,8 +5803,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 320, 1, 1" offset="9303088" size="1280" />
+		<layer id="375" name="__module.down_blocks.0.attentions.1.proj_in/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="9300436" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5776,7 +5814,7 @@
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 			</output>
 		</layer>
-		<layer id="404" name="__module.down_blocks.0.attentions.1.proj_in/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="376" name="__module.down_blocks.0.attentions.1.proj_in/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5801,15 +5839,15 @@
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 			</output>
 		</layer>
-		<layer id="405" name="Constant_16317" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4453520" size="32" />
+		<layer id="377" name="Constant_16317" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4452208" size="32" />
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 				<port id="0" precision="I64" names="411">
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 		</layer>
-		<layer id="406" name="__module.down_blocks.0.attentions.1/aten::permute/Transpose" type="Transpose" version="opset1">
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@@ -5830,15 +5868,15 @@
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+		<layer id="379" name="Constant_79871" type="Const" version="opset1">
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@@ -5859,15 +5897,15 @@
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@@ -5887,8 +5925,8 @@
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5897,7 +5935,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5919,8 +5957,8 @@
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+		<layer id="385" name="Constant_76945" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5929,7 +5967,7 @@
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 			</output>
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+		<layer id="386" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5951,8 +5989,8 @@
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+			<data element_type="u8" shape="320, 320" offset="9304276" size="102400" />
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 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -5960,7 +5998,7 @@
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 			</output>
 		</layer>
-		<layer id="416" name="Convert_231217" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -5975,8 +6013,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="320, 1" offset="9409328" size="320" />
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+			<data element_type="u8" shape="320, 1" offset="9406676" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -5984,7 +6022,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="418" name="Convert_231220" type="Convert" version="opset1">
+		<layer id="390" name="Convert_119221" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -5999,7 +6037,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6018,8 +6056,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="320, 1" offset="9409648" size="640" />
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+			<data element_type="f16" shape="320, 1" offset="9406996" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -6027,7 +6065,7 @@
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 			</output>
 		</layer>
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+		<layer id="393" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6046,7 +6084,7 @@
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 			</output>
 		</layer>
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+		<layer id="394" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6061,7 +6099,7 @@
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 		</layer>
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+		<layer id="395" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6082,60 +6120,15 @@
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 		</layer>
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-				<port id="0" precision="FP32" />
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-			<output>
-				<port id="0" precision="FP32" />
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-			<output>
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-				<port id="4" precision="FP32" />
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-					<dim>-1</dim>
-					<dim>320</dim>
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-		<layer id="429" name="Constant_79872" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4559508" size="32" />
+		<layer id="396" name="Constant_79872" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
 			<output>
 				<port id="0" precision="I64">
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 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6156,15 +6149,15 @@
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
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 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
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 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6185,8 +6178,8 @@
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 		</layer>
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-			<data element_type="u8" shape="320, 320" offset="9410296" size="102400" />
+		<layer id="400" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="9407636" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -6194,7 +6187,7 @@
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 			</output>
 		</layer>
-		<layer id="434" name="Convert_231206" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -6209,8 +6202,8 @@
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 		</layer>
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-			<data element_type="u8" shape="320, 1" offset="9512696" size="320" />
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 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -6218,7 +6211,7 @@
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 			</output>
 		</layer>
-		<layer id="436" name="Convert_231209" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -6233,7 +6226,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6252,8 +6245,8 @@
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 			</output>
 		</layer>
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 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -6261,7 +6254,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6280,7 +6273,7 @@
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 		</layer>
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 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6295,7 +6288,7 @@
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 			<input>
 				<port id="0" precision="FP32">
@@ -6316,60 +6309,15 @@
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@@ -6390,15 +6338,15 @@
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+			<data element_type="i32" shape="4" offset="4558220" size="16" />
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@@ -6419,8 +6367,8 @@
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-			<data element_type="u8" shape="320, 320" offset="9513664" size="102400" />
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+			<data element_type="u8" shape="320, 320" offset="9510996" size="102400" />
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@@ -6428,7 +6376,7 @@
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 		</layer>
-		<layer id="452" name="Convert_231195" type="Convert" version="opset1">
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 				<port id="0" precision="U8">
@@ -6443,8 +6391,8 @@
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-			<data element_type="u8" shape="320, 1" offset="9616064" size="320" />
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+			<data element_type="u8" shape="320, 1" offset="9613396" size="320" />
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@@ -6452,7 +6400,7 @@
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 		</layer>
-		<layer id="454" name="Convert_231198" type="Convert" version="opset1">
+		<layer id="416" name="Convert_119199" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
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@@ -6467,7 +6415,7 @@
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@@ -6486,8 +6434,8 @@
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-			<data element_type="f16" shape="320, 1" offset="9616384" size="640" />
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+			<data element_type="f16" shape="320, 1" offset="9613716" size="640" />
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 					<dim>320</dim>
@@ -6495,7 +6443,7 @@
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+		<layer id="419" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -6514,7 +6462,7 @@
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+		<layer id="420" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
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@@ -6529,7 +6477,7 @@
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@@ -6550,15 +6498,15 @@
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-		<layer id="460" name="Constant_79874" type="Const" version="opset1">
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+		<layer id="422" name="Constant_79874" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
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+		<layer id="423" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -6579,15 +6527,15 @@
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="424" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
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+		<layer id="425" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6608,7 +6556,7 @@
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+		<layer id="426" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
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 				<port id="0" precision="FP32">
@@ -6639,15 +6587,15 @@
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="427" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
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 				<port id="0" precision="I32">
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+		<layer id="428" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6668,15 +6616,15 @@
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-		<layer id="467" name="Constant_79875" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="4766284" size="24" />
+		<layer id="429" name="Constant_79875" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="4764956" size="24" />
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+		<layer id="430" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6697,8 +6645,8 @@
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-			<data element_type="u8" shape="320, 320" offset="9617024" size="102400" />
+		<layer id="431" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="9614356" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -6706,7 +6654,7 @@
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 			</output>
 		</layer>
-		<layer id="470" name="Convert_231228" type="Convert" version="opset1">
+		<layer id="432" name="Convert_119229" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -6721,8 +6669,8 @@
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-			<data element_type="u8" shape="320, 1" offset="9719424" size="320" />
+		<layer id="433" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="9716756" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -6730,7 +6678,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="472" name="Convert_231231" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -6745,7 +6693,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6764,8 +6712,8 @@
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-			<data element_type="f16" shape="320, 1" offset="9719744" size="640" />
+		<layer id="436" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="9717076" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -6773,7 +6721,7 @@
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 		</layer>
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+		<layer id="437" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6792,7 +6740,7 @@
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+		<layer id="438" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6807,7 +6755,7 @@
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 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6828,8 +6776,8 @@
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 		</layer>
-		<layer id="478" name="Constant_76946" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="9720384" size="1280" />
+		<layer id="440" name="Constant_76946" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="9717716" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6838,7 +6786,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6860,7 +6808,7 @@
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-		<layer id="480" name="__module.down_blocks.0.attentions.1.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6882,15 +6830,15 @@
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="443" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 		</layer>
-		<layer id="482" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="444" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6910,8 +6858,8 @@
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-		<layer id="483" name="Constant_76947" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="9721664" size="1280" />
+		<layer id="445" name="Constant_76947" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="9718996" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6920,7 +6868,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6942,8 +6890,8 @@
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-		<layer id="485" name="Constant_76948" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="9722944" size="1280" />
+		<layer id="447" name="Constant_76948" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="9720276" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6952,7 +6900,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6974,8 +6922,8 @@
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 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -6983,7 +6931,7 @@
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 			</output>
 		</layer>
-		<layer id="488" name="Convert_231239" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -6998,8 +6946,8 @@
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+			<data element_type="u8" shape="320, 1" offset="9823956" size="320" />
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 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -7007,7 +6955,7 @@
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 		</layer>
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+		<layer id="452" name="Convert_119243" type="Convert" version="opset1">
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 			<input>
 				<port id="0" precision="U8">
@@ -7022,7 +6970,7 @@
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 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP16">
@@ -7041,8 +6989,8 @@
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+			<data element_type="f16" shape="320, 1" offset="9824276" size="640" />
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 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -7050,7 +6998,7 @@
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 		</layer>
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+		<layer id="455" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
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@@ -7069,7 +7017,7 @@
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+		<layer id="456" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
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 			<input>
 				<port id="0" precision="FP16">
@@ -7084,7 +7032,7 @@
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+		<layer id="457" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -7105,52 +7053,7 @@
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 		</layer>
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-			<output>
-				<port id="0" precision="FP32" />
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-			<output>
-				<port id="0" precision="FP32" />
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-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-					<dim>-1</dim>
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 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7171,15 +7074,15 @@
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+		<layer id="459" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
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 			</output>
 		</layer>
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+		<layer id="460" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7200,8 +7103,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="320, 768" offset="9827592" size="245760" />
+		<layer id="461" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="9824916" size="245760" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -7209,7 +7112,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="505" name="Convert_231052" type="Convert" version="opset1">
+		<layer id="462" name="Convert_118987" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -7224,8 +7127,8 @@
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 		</layer>
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-			<data element_type="u8" shape="320, 1" offset="10073352" size="320" />
+		<layer id="463" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="10070676" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -7233,7 +7136,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="507" name="Convert_231055" type="Convert" version="opset1">
+		<layer id="464" name="Convert_118990" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -7248,7 +7151,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -7267,8 +7170,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="320, 1" offset="10073672" size="640" />
+		<layer id="466" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="10070996" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -7276,7 +7179,7 @@
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 			</output>
 		</layer>
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+		<layer id="467" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -7295,7 +7198,7 @@
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 			</output>
 		</layer>
-		<layer id="511" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="468" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -7310,7 +7213,7 @@
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 			</output>
 		</layer>
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+		<layer id="469" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7331,60 +7234,15 @@
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 		</layer>
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-			<output>
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-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="515" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="516" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="10074316" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="518" name="Constant_79876" type="Const" version="opset1">
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+		<layer id="470" name="Constant_79876" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
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 			</output>
 		</layer>
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 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7405,15 +7263,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="472" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="473" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7434,8 +7292,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="320, 768" offset="10074320" size="245760" />
+		<layer id="474" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="10071636" size="245760" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -7443,7 +7301,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="523" name="Convert_231041" type="Convert" version="opset1">
+		<layer id="475" name="Convert_118976" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -7458,8 +7316,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="320, 1" offset="10320080" size="320" />
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+			<data element_type="u8" shape="320, 1" offset="10317396" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -7467,7 +7325,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="525" name="Convert_231044" type="Convert" version="opset1">
+		<layer id="477" name="Convert_118979" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -7482,7 +7340,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -7501,8 +7359,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="320, 1" offset="10320400" size="640" />
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+			<data element_type="f16" shape="320, 1" offset="10317716" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -7510,7 +7368,7 @@
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 			</output>
 		</layer>
-		<layer id="528" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="480" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -7529,7 +7387,7 @@
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 			</output>
 		</layer>
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+		<layer id="481" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -7544,7 +7402,7 @@
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 			</output>
 		</layer>
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@@ -7565,15 +7423,15 @@
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@@ -7594,15 +7452,15 @@
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@@ -7623,7 +7481,7 @@
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@@ -7654,15 +7512,15 @@
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@@ -7683,15 +7541,15 @@
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+		<layer id="490" name="Constant_79878" type="Const" version="opset1">
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@@ -7712,8 +7570,8 @@
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@@ -7721,7 +7579,7 @@
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@@ -7736,8 +7594,8 @@
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-			<data element_type="u8" shape="320, 1" offset="10423440" size="320" />
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@@ -7745,7 +7603,7 @@
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 			<data destination_type="f16" />
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@@ -7760,7 +7618,7 @@
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@@ -7779,8 +7637,8 @@
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-			<data element_type="f16" shape="320, 1" offset="10423760" size="640" />
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@@ -7788,7 +7646,7 @@
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@@ -7807,7 +7665,7 @@
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@@ -7822,7 +7680,7 @@
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@@ -7843,8 +7701,8 @@
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+		<layer id="501" name="Constant_76949" type="Const" version="opset1">
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@@ -7853,7 +7711,7 @@
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 			<data auto_broadcast="numpy" />
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@@ -7875,7 +7733,7 @@
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@@ -7897,15 +7755,15 @@
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@@ -7925,8 +7783,8 @@
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@@ -7935,7 +7793,7 @@
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@@ -7957,8 +7815,8 @@
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-			<data element_type="f32" shape="1, 1, 320" offset="10426960" size="1280" />
+		<layer id="508" name="Constant_76951" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -7967,7 +7825,7 @@
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 			<data auto_broadcast="numpy" />
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@@ -7998,7 +7856,7 @@
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 		</layer>
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -8013,8 +7871,8 @@
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@@ -8022,7 +7880,7 @@
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -8037,7 +7895,7 @@
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@@ -8056,8 +7914,8 @@
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@@ -8065,7 +7923,7 @@
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@@ -8084,7 +7942,7 @@
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 				<port id="0" precision="FP16">
@@ -8099,7 +7957,7 @@
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@@ -8120,8 +7978,8 @@
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@@ -8130,7 +7988,7 @@
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@@ -8152,7 +8010,7 @@
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@@ -8167,15 +8025,15 @@
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+		<layer id="522" name="Constant_44679" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="6413324" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 		</layer>
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+		<layer id="523" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
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 				<port id="0" precision="I32">
@@ -8190,7 +8048,7 @@
 				<port id="3" precision="I32" />
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 		</layer>
-		<layer id="572" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
+		<layer id="524" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="I32" />
@@ -8200,7 +8058,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="573" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+		<layer id="525" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -8210,7 +8068,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="574" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+		<layer id="526" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -8224,7 +8082,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="575" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+		<layer id="527" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="BOOL">
@@ -8237,7 +8095,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="576" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+		<layer id="528" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -8251,15 +8109,15 @@
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 			</output>
 		</layer>
-		<layer id="577" name="Constant_44680" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="529" name="Constant_44680" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="578" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+		<layer id="530" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -8275,7 +8133,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="579" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+		<layer id="531" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8300,7 +8158,7 @@
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 			</output>
 		</layer>
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+		<layer id="532" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8317,7 +8175,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="581" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="533" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8339,8 +8197,8 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="320, 1280" offset="11265360" size="409600" />
+		<layer id="534" name="self.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1280" offset="11262676" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -8348,7 +8206,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="583" name="Convert_230645" type="Convert" version="opset1">
+		<layer id="535" name="Convert_118459" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -8363,8 +8221,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="584" name="self.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="11674960" size="320" />
+		<layer id="536" name="self.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="11672276" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -8372,7 +8230,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="585" name="Convert_230648" type="Convert" version="opset1">
+		<layer id="537" name="Convert_118462" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -8387,7 +8245,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="586" name="self.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="538" name="self.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -8406,8 +8264,8 @@
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 			</output>
 		</layer>
-		<layer id="587" name="self.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="11675280" size="640" />
+		<layer id="539" name="self.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="11672596" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -8415,7 +8273,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="588" name="self.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="540" name="self.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -8434,7 +8292,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="589" name="self.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="541" name="self.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -8449,7 +8307,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="590" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="542" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8470,8 +8328,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="591" name="Constant_76953" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="11675920" size="1280" />
+		<layer id="543" name="Constant_76953" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="11673236" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8480,7 +8338,7 @@
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 			</output>
 		</layer>
-		<layer id="592" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+		<layer id="544" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8502,7 +8360,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="593" name="__module.down_blocks.0.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="545" name="__module.down_blocks.0.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8524,52 +8382,7 @@
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 			</output>
 		</layer>
-		<layer id="594" name="__module.down_blocks.0.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="11677200" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="595" name="__module.down_blocks.0.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="11677204" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="596" name="__module.down_blocks.0.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="11677200" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="597" name="__module.down_blocks.0.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="11677204" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="598" name="__module.down_blocks.0.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>320</dim>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>320</dim>
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-			</output>
-		</layer>
-		<layer id="599" name="__module.down_blocks.0.attentions.1/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="546" name="__module.down_blocks.0.attentions.1/aten::size/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8585,21 +8398,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="600" name="Constant_73160" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="6826524" size="24" />
+		<layer id="547" name="Constant_73160" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="6825172" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="601" name="Constant_73161" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="940816" size="8" />
+		<layer id="548" name="Constant_73161" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="940160" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="602" name="Gather_73162" type="Gather" version="opset8">
+		<layer id="549" name="Gather_73162" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -8616,15 +8429,15 @@
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 			</output>
 		</layer>
-		<layer id="603" name="Constant_17614" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="6826548" size="8" />
+		<layer id="550" name="Constant_17614" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="6825196" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="604" name="__module.down_blocks.0.attentions.1/prim::ListConstruct_1" type="Concat" version="opset1">
+		<layer id="551" name="__module.down_blocks.0.attentions.1/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -8640,7 +8453,7 @@
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 			</output>
 		</layer>
-		<layer id="605" name="__module.down_blocks.0.attentions.1/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+		<layer id="552" name="__module.down_blocks.0.attentions.1/aten::reshape/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8661,15 +8474,15 @@
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 			</output>
 		</layer>
-		<layer id="606" name="Constant_17623" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="6826556" size="32" />
+		<layer id="553" name="Constant_17623" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="6825204" size="32" />
 			<output>
 				<port id="0" precision="I64" names="535">
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 				</port>
 			</output>
 		</layer>
-		<layer id="607" name="__module.down_blocks.0.attentions.1/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="554" name="__module.down_blocks.0.attentions.1/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8690,10 +8503,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="608" name="Constant_1241631" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 320, 1, 1" offset="11677208" size="102400" />
+		<layer id="555" name="self.down_blocks.0.attentions.1.proj_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320, 1, 1" offset="11674516" size="102400" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -8701,10 +8514,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="609" name="Convert_1241632" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="556" name="Convert_119262" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -8712,7 +8525,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -8720,10 +8533,29 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="610" name="Constant_1241633" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="11779608" size="1280" />
+		<layer id="557" name="self.down_blocks.0.attentions.1.proj_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="11776916" size="320" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="558" name="Convert_119265" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -8731,16 +8563,16 @@
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 			</output>
 		</layer>
-		<layer id="611" name="__module.down_blocks.0.attentions.1.proj_out/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="559" name="self.down_blocks.0.attentions.1.proj_out.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -8748,7 +8580,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="560" name="self.down_blocks.0.attentions.1.proj_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="11777236" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="561" name="self.down_blocks.0.attentions.1.proj_out.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -8756,7 +8624,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="612" name="__module.down_blocks.0.attentions.1.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="562" name="self.down_blocks.0.attentions.1.proj_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="563" name="__module.down_blocks.0.attentions.1.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8781,8 +8668,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="613" name="__module.down_blocks.0.attentions.1.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="11780888" size="1280" />
+		<layer id="564" name="__module.down_blocks.0.attentions.1.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="11777876" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8792,7 +8679,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="614" name="__module.down_blocks.0.attentions.1.proj_out/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="565" name="__module.down_blocks.0.attentions.1.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8817,7 +8704,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="615" name="__module.down_blocks.0.attentions.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="566" name="__module.down_blocks.0.attentions.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8842,76 +8729,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="616" name="__module.down_blocks.0.downsamplers.0.conv/aten::_convolution/Convolution/fq_input_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="11782168" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="617" name="__module.down_blocks.0.downsamplers.0.conv/aten::_convolution/Convolution/fq_input_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="11782172" size="4" />
+		<layer id="567" name="self.down_blocks.0.downsamplers.0.conv.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320, 3, 3" offset="11779156" size="921600" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="618" name="__module.down_blocks.0.downsamplers.0.conv/aten::_convolution/Convolution/fq_input_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="11782168" size="4" />
+		<layer id="568" name="Convert_118085" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="619" name="__module.down_blocks.0.downsamplers.0.conv/aten::_convolution/Convolution/fq_input_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="11782172" size="4" />
+		<layer id="569" name="self.down_blocks.0.downsamplers.0.conv.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="12700756" size="320" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="620" name="__module.down_blocks.0.downsamplers.0.conv/aten::_convolution/Convolution/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="570" name="Convert_118088" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="621" name="Constant_1241635" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 320, 3, 3" offset="11782176" size="921600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="571" name="self.down_blocks.0.downsamplers.0.conv.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="622" name="Convert_1241636" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>320</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
@@ -8919,10 +8814,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="623" name="Constant_1241637" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="12703776" size="1280" />
+		<layer id="572" name="self.down_blocks.0.downsamplers.0.conv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="12701076" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -8930,16 +8825,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="624" name="__module.down_blocks.0.downsamplers.0.conv/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="573" name="self.down_blocks.0.downsamplers.0.conv.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -8947,7 +8842,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="574" name="self.down_blocks.0.downsamplers.0.conv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
@@ -8955,7 +8869,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="625" name="__module.down_blocks.0.downsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="575" name="__module.down_blocks.0.downsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8980,8 +8894,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="626" name="__module.down_blocks.0.downsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="12705056" size="1280" />
+		<layer id="576" name="__module.down_blocks.0.downsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="12701716" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8991,7 +8905,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="627" name="__module.down_blocks.0.downsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="577" name="__module.down_blocks.0.downsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9016,76 +8930,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="628" name="__module.down_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="12706336" size="4" />
+		<layer id="578" name="self.down_blocks.1.resnets.0.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 320, 1, 1" offset="12702996" size="204800" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="629" name="__module.down_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="12706340" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="630" name="__module.down_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="12706336" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="631" name="__module.down_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="12706340" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="632" name="__module.down_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="579" name="Convert_119064" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>640</dim>
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="633" name="Constant_1241639" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 320, 1, 1" offset="12706344" size="204800" />
+		<layer id="580" name="self.down_blocks.1.resnets.0.conv_shortcut.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="12907796" size="640" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>640</dim>
-					<dim>320</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="634" name="Convert_1241640" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="581" name="Convert_119067" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="582" name="self.down_blocks.1.resnets.0.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -9093,10 +9015,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="635" name="Constant_1241641" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="12911144" size="2560" />
+		<layer id="583" name="self.down_blocks.1.resnets.0.conv_shortcut.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="12908436" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -9104,16 +9026,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="636" name="__module.down_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="584" name="self.down_blocks.1.resnets.0.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -9121,7 +9043,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="585" name="self.down_blocks.1.resnets.0.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>640</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -9129,7 +9070,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="637" name="__module.down_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="586" name="__module.down_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9154,8 +9095,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="638" name="__module.down_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="12913704" size="2560" />
+		<layer id="587" name="__module.down_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="12909716" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9165,7 +9106,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="639" name="__module.down_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="588" name="__module.down_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9190,23 +9131,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="640" name="self.down_blocks.1.resnets.0.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="320" offset="12916264" size="1280" />
+		<layer id="589" name="self.down_blocks.1.resnets.0.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="12912276" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.1.resnets.0.norm1.weight">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="641" name="self.down_blocks.1.resnets.0.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="320" offset="12917544" size="1280" />
+		<layer id="590" name="self.down_blocks.1.resnets.0.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="12913556" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.1.resnets.0.norm1.bias">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="642" name="__module.down_blocks.1.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="591" name="__module.down_blocks.1.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9231,7 +9172,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="643" name="__module.conv_act/aten::silu/Swish_7" type="Swish" version="opset4">
+		<layer id="592" name="__module.conv_act/aten::silu/Swish_7" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9249,76 +9190,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="644" name="__module.conv_act/aten::silu/Swish_7/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="12918824" size="4" />
+		<layer id="593" name="self.down_blocks.1.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 320, 3, 3" offset="12914836" size="1843200" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="645" name="__module.conv_act/aten::silu/Swish_7/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="12918828" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="646" name="__module.conv_act/aten::silu/Swish_7/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="12918824" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="647" name="__module.conv_act/aten::silu/Swish_7/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="12918828" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="648" name="__module.conv_act/aten::silu/Swish_7/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="594" name="Convert_117139" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>640</dim>
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="649" name="Constant_1241643" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 320, 3, 3" offset="12918832" size="1843200" />
+		<layer id="595" name="self.down_blocks.1.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="14758036" size="640" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>640</dim>
-					<dim>320</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="650" name="Convert_1241644" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="596" name="Convert_117142" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="597" name="self.down_blocks.1.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>320</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>320</dim>
 					<dim>3</dim>
@@ -9326,10 +9275,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="651" name="Constant_1241645" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="14762032" size="2560" />
+		<layer id="598" name="self.down_blocks.1.resnets.0.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="14758676" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -9337,16 +9286,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="652" name="__module.down_blocks.1.resnets.0.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="599" name="self.down_blocks.1.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>320</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -9354,7 +9303,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="600" name="self.down_blocks.1.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>640</dim>
 					<dim>320</dim>
 					<dim>3</dim>
@@ -9362,7 +9330,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="653" name="__module.down_blocks.1.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="601" name="__module.down_blocks.1.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9387,8 +9355,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="654" name="__module.down_blocks.1.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="14764592" size="2560" />
+		<layer id="602" name="__module.down_blocks.1.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="14759956" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9398,7 +9366,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="655" name="__module.down_blocks.1.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="603" name="__module.down_blocks.1.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9423,8 +9391,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="656" name="self.down_blocks.1.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1280" offset="14767152" size="819200" />
+		<layer id="604" name="self.down_blocks.1.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1280" offset="14762516" size="819200" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -9432,7 +9400,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="657" name="Convert_230392" type="Convert" version="opset1">
+		<layer id="605" name="Convert_118173" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -9447,8 +9415,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="658" name="self.down_blocks.1.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="15586352" size="640" />
+		<layer id="606" name="self.down_blocks.1.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="15581716" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -9456,7 +9424,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="659" name="Convert_230395" type="Convert" version="opset1">
+		<layer id="607" name="Convert_118176" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -9471,7 +9439,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="660" name="self.down_blocks.1.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="608" name="self.down_blocks.1.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -9490,8 +9458,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="661" name="self.down_blocks.1.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="15586992" size="1280" />
+		<layer id="609" name="self.down_blocks.1.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="15582356" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -9499,7 +9467,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="662" name="self.down_blocks.1.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="610" name="self.down_blocks.1.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -9518,7 +9486,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="663" name="self.down_blocks.1.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="611" name="self.down_blocks.1.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -9533,7 +9501,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="664" name="__module.down_blocks.1.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="612" name="__module.down_blocks.1.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9552,8 +9520,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="665" name="Constant_76954" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640" offset="15588272" size="2560" />
+		<layer id="613" name="Constant_76954" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640" offset="15583636" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9561,7 +9529,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="666" name="__module.down_blocks.1.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="614" name="__module.down_blocks.1.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9580,13 +9548,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="667" name="570" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3419248" size="8" />
+		<layer id="615" name="570" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="3418592" size="8" />
 			<output>
 				<port id="0" precision="I64" names="570" />
 			</output>
 		</layer>
-		<layer id="668" name="__module.down_blocks.1.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="616" name="__module.down_blocks.1.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9602,13 +9570,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="669" name="571" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3419256" size="8" />
+		<layer id="617" name="571" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="3418600" size="8" />
 			<output>
 				<port id="0" precision="I64" names="571" />
 			</output>
 		</layer>
-		<layer id="670" name="__module.down_blocks.1.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="618" name="__module.down_blocks.1.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9626,7 +9594,7 @@
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 			</output>
 		</layer>
-		<layer id="671" name="__module.down_blocks.1.resnets.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="619" name="__module.down_blocks.1.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9651,23 +9619,23 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="640" offset="15590832" size="2560" />
+		<layer id="620" name="self.down_blocks.1.resnets.0.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="15586196" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.1.resnets.0.norm2.weight">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="640" offset="15593392" size="2560" />
+		<layer id="621" name="self.down_blocks.1.resnets.0.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="15588756" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.1.resnets.0.norm2.bias">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="674" name="__module.down_blocks.1.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="622" name="__module.down_blocks.1.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9692,7 +9660,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="675" name="__module.conv_act/aten::silu/Swish_9" type="Swish" version="opset4">
+		<layer id="623" name="__module.conv_act/aten::silu/Swish_9" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9710,76 +9678,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="676" name="__module.conv_act/aten::silu/Swish_9/fq_output_0/input_low" type="Const" version="opset1">
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-				<port id="0" precision="FP32" />
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-			<data element_type="f32" shape="" offset="15595956" size="4" />
+		<layer id="624" name="self.down_blocks.1.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640, 3, 3" offset="15591316" size="3686400" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="678" name="__module.conv_act/aten::silu/Swish_9/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="15595952" size="4" />
+		<layer id="625" name="Convert_116919" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="679" name="__module.conv_act/aten::silu/Swish_9/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="15595956" size="4" />
+		<layer id="626" name="self.down_blocks.1.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="19277716" size="640" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="627" name="Convert_116922" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="681" name="Constant_1241647" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 640, 3, 3" offset="15595960" size="3686400" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="628" name="self.down_blocks.1.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
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-		<layer id="682" name="Convert_1241648" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>640</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -9787,10 +9763,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="683" name="Constant_1241649" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="19282360" size="2560" />
+		<layer id="629" name="self.down_blocks.1.resnets.0.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="19278356" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -9798,16 +9774,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="684" name="__module.down_blocks.1.resnets.0.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="630" name="self.down_blocks.1.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -9815,7 +9791,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="631" name="self.down_blocks.1.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -9823,7 +9818,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="685" name="__module.down_blocks.1.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="632" name="__module.down_blocks.1.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9848,8 +9843,8 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 640, 1, 1" offset="19284920" size="2560" />
+		<layer id="633" name="__module.down_blocks.1.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="19279636" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9859,7 +9854,7 @@
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 			</output>
 		</layer>
-		<layer id="687" name="__module.down_blocks.1.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="634" name="__module.down_blocks.1.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9884,7 +9879,7 @@
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 			</output>
 		</layer>
-		<layer id="688" name="__module.down_blocks.1.resnets.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="635" name="__module.down_blocks.1.resnets.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9909,23 +9904,23 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="640" offset="19287480" size="2560" />
+		<layer id="636" name="self.down_blocks.1.attentions.0.norm.weight" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.1.attentions.0.norm.weight">
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 		</layer>
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-			<data element_type="f32" shape="640" offset="19290040" size="2560" />
+		<layer id="637" name="self.down_blocks.1.attentions.0.norm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="19284756" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.1.attentions.0.norm.bias">
 					<dim>640</dim>
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 			</output>
 		</layer>
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+		<layer id="638" name="__module.down_blocks.1.attentions.0.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999999747524271e-07" />
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 				<port id="0" precision="FP32">
@@ -9950,76 +9945,84 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="19292600" size="4" />
+		<layer id="639" name="self.down_blocks.1.attentions.0.proj_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640, 1, 1" offset="19287316" size="409600" />
 			<output>
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-			<data element_type="f32" shape="" offset="19292604" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="19292600" size="4" />
+		<layer id="640" name="Convert_118470" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="19292604" size="4" />
+		<layer id="641" name="self.down_blocks.1.attentions.0.proj_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="19696916" size="640" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="642" name="Convert_118473" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>640</dim>
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-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i8" shape="640, 640, 1, 1" offset="19292608" size="409600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="643" name="self.down_blocks.1.attentions.0.proj_in.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
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-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>640</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -10027,10 +10030,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="699" name="Constant_1241653" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="19702208" size="2560" />
+		<layer id="644" name="self.down_blocks.1.attentions.0.proj_in.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="19697556" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -10038,16 +10041,16 @@
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 			</output>
 		</layer>
-		<layer id="700" name="__module.down_blocks.1.attentions.0.proj_in/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="645" name="self.down_blocks.1.attentions.0.proj_in.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -10055,7 +10058,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -10063,7 +10066,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="701" name="__module.down_blocks.1.attentions.0.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="646" name="self.down_blocks.1.attentions.0.proj_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
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+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10099,7 +10121,7 @@
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 		</layer>
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@@ -10124,15 +10146,15 @@
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+		<layer id="650" name="Constant_18037" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -10153,15 +10175,15 @@
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+		<layer id="652" name="Constant_79879" type="Const" version="opset1">
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 			<input>
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@@ -10182,15 +10204,15 @@
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 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -10210,8 +10232,8 @@
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+		<layer id="656" name="Constant_76955" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10220,7 +10242,7 @@
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 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -10242,8 +10264,8 @@
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 		</layer>
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-			<data element_type="f32" shape="1, 1, 640" offset="19709912" size="2560" />
+		<layer id="658" name="Constant_76956" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10252,7 +10274,7 @@
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 			</output>
 		</layer>
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+		<layer id="659" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10274,8 +10296,8 @@
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 			</output>
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 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -10283,7 +10305,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="715" name="Convert_230678" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -10298,8 +10320,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="640, 1" offset="20122072" size="640" />
+		<layer id="662" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -10307,7 +10329,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="717" name="Convert_230681" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -10322,7 +10344,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -10341,8 +10363,8 @@
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 			</output>
 		</layer>
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 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -10350,7 +10372,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -10369,7 +10391,7 @@
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 			</output>
 		</layer>
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 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -10384,7 +10406,7 @@
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 			</output>
 		</layer>
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+		<layer id="668" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10405,60 +10427,15 @@
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 			</output>
 		</layer>
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-		<layer id="728" name="Constant_79880" type="Const" version="opset1">
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+		<layer id="669" name="Constant_79880" type="Const" version="opset1">
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 			<data special_zero="true" />
 			<input>
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@@ -10479,15 +10456,15 @@
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 				<port id="0" precision="I32">
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 			<input>
 				<port id="0" precision="FP32">
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@@ -10508,8 +10485,8 @@
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 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -10517,7 +10494,7 @@
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 		</layer>
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 			<input>
 				<port id="0" precision="U8">
@@ -10532,8 +10509,8 @@
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 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -10541,7 +10518,7 @@
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 		</layer>
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -10556,7 +10533,7 @@
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 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP16">
@@ -10575,8 +10552,8 @@
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 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -10584,7 +10561,7 @@
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 			<input>
 				<port id="0" precision="FP16">
@@ -10603,7 +10580,7 @@
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 				<port id="0" precision="FP16">
@@ -10618,7 +10595,7 @@
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@@ -10639,60 +10616,15 @@
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@@ -10713,15 +10645,15 @@
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@@ -10751,7 +10683,7 @@
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@@ -10775,7 +10707,7 @@
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@@ -10818,7 +10750,7 @@
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@@ -10837,7 +10769,7 @@
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@@ -10852,7 +10784,7 @@
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@@ -10931,7 +10863,7 @@
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@@ -10991,15 +10923,15 @@
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@@ -11029,7 +10961,7 @@
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 			<input>
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@@ -11053,7 +10985,7 @@
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 			<data destination_type="f16" />
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@@ -11115,7 +11047,7 @@
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+			<data element_type="f32" shape="1, 1, 640" offset="21355236" size="2560" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11243,7 +11175,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11265,8 +11197,8 @@
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 		</layer>
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-			<data element_type="f32" shape="1, 1, 640" offset="21363744" size="2560" />
+		<layer id="720" name="Constant_76959" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="21357796" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11275,7 +11207,7 @@
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 			</output>
 		</layer>
-		<layer id="785" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="721" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11297,8 +11229,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="640, 640" offset="21366304" size="409600" />
+		<layer id="722" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="21360356" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -11306,7 +11238,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="787" name="Convert_230700" type="Convert" version="opset1">
+		<layer id="723" name="Convert_118525" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -11321,8 +11253,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="640, 1" offset="21775904" size="640" />
+		<layer id="724" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="21769956" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -11330,7 +11262,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="789" name="Convert_230703" type="Convert" version="opset1">
+		<layer id="725" name="Convert_118528" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -11345,7 +11277,7 @@
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 			</output>
 		</layer>
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+		<layer id="726" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -11364,8 +11296,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="791" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="21776544" size="1280" />
+		<layer id="727" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="21770596" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -11373,7 +11305,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="792" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="728" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -11392,7 +11324,7 @@
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 			</output>
 		</layer>
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+		<layer id="729" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -11407,7 +11339,7 @@
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 			</output>
 		</layer>
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+		<layer id="730" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11428,76 +11360,31 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="21777824" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-			<data element_type="f32" shape="" offset="21777828" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="797" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="21777824" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="798" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="21777828" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
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-		<layer id="799" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
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-			<input>
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-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-					<dim>-1</dim>
-					<dim>640</dim>
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-		<layer id="800" name="Constant_18791" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4976876" size="8" />
+		<layer id="731" name="Constant_18791" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4975540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="801" name="Constant_18792" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4976884" size="8" />
+		<layer id="732" name="Constant_18792" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4975548" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="802" name="Constant_18835" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="21777832" size="8" />
+		<layer id="733" name="Constant_18835" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="21771876" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="803" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/prim::ListConstruct" type="Concat" version="opset1">
+		<layer id="734" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/prim::ListConstruct" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -11519,7 +11406,7 @@
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 			</output>
 		</layer>
-		<layer id="804" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="735" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11540,15 +11427,15 @@
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 			</output>
 		</layer>
-		<layer id="805" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="736" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="737" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11569,8 +11456,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="640, 768" offset="21777840" size="491520" />
+		<layer id="738" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 768" offset="21771884" size="491520" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -11578,7 +11465,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="808" name="Convert_230469" type="Convert" version="opset1">
+		<layer id="739" name="Convert_118283" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -11593,8 +11480,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="640, 1" offset="22269360" size="640" />
+		<layer id="740" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="22263404" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -11602,7 +11489,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="810" name="Convert_230472" type="Convert" version="opset1">
+		<layer id="741" name="Convert_118286" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -11617,7 +11504,7 @@
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 			</output>
 		</layer>
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+		<layer id="742" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -11636,8 +11523,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="640, 1" offset="22270000" size="1280" />
+		<layer id="743" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="22264044" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -11645,7 +11532,7 @@
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 			</output>
 		</layer>
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+		<layer id="744" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -11664,7 +11551,7 @@
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 			</output>
 		</layer>
-		<layer id="814" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="745" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -11679,7 +11566,7 @@
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 			</output>
 		</layer>
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 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11700,60 +11587,15 @@
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 		</layer>
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-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="747" name="Constant_79884" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>4</dim>
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 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11774,15 +11616,15 @@
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 		</layer>
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 				<port id="0" precision="I32">
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@@ -11803,8 +11645,8 @@
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@@ -11812,7 +11654,7 @@
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-			<data element_type="u8" shape="640, 1" offset="22762808" size="640" />
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@@ -11836,7 +11678,7 @@
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-		<layer id="828" name="Convert_230461" type="Convert" version="opset1">
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@@ -11851,7 +11693,7 @@
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@@ -11870,8 +11712,8 @@
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@@ -11879,7 +11721,7 @@
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@@ -11898,7 +11740,7 @@
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@@ -11913,7 +11755,7 @@
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@@ -11934,15 +11776,15 @@
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+		<layer id="760" name="Constant_79885" type="Const" version="opset1">
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@@ -11963,15 +11805,15 @@
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
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@@ -11992,7 +11834,7 @@
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@@ -12023,15 +11865,15 @@
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
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@@ -12052,15 +11894,15 @@
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+		<layer id="767" name="Constant_79886" type="Const" version="opset1">
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@@ -12081,8 +11923,8 @@
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@@ -12090,7 +11932,7 @@
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
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-			<data element_type="u8" shape="640, 1" offset="23174328" size="640" />
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 			<output>
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 					<dim>640</dim>
@@ -12114,7 +11956,7 @@
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 		</layer>
-		<layer id="846" name="Convert_230714" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -12129,7 +11971,7 @@
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@@ -12148,8 +11990,8 @@
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 				<port id="0" precision="FP16">
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@@ -12176,7 +12018,7 @@
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 			<input>
 				<port id="0" precision="FP16">
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@@ -12212,8 +12054,8 @@
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+		<layer id="778" name="Constant_76960" type="Const" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
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@@ -12244,7 +12086,7 @@
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 			<data auto_broadcast="numpy" />
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+		<layer id="783" name="Constant_76961" type="Const" version="opset1">
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@@ -12304,7 +12146,7 @@
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 			<data auto_broadcast="numpy" />
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 			<output>
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@@ -12367,7 +12209,7 @@
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 			<data destination_type="f16" />
 			<input>
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@@ -12391,7 +12233,7 @@
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 		</layer>
-		<layer id="864" name="Convert_229570" type="Convert" version="opset1">
+		<layer id="790" name="Convert_117010" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -12406,7 +12248,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="865" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="791" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -12425,8 +12267,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="866" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="5120, 1" offset="26465848" size="10240" />
+		<layer id="792" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="5120, 1" offset="26459884" size="10240" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>5120</dim>
@@ -12434,7 +12276,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="867" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="793" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -12453,7 +12295,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="868" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="794" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -12468,7 +12310,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="869" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="795" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12489,8 +12331,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="870" name="Constant_76963" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 5120" offset="26476088" size="20480" />
+		<layer id="796" name="Constant_76963" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 5120" offset="26470124" size="20480" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12499,7 +12341,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="871" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="797" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12521,13 +12363,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="872" name="559" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4976876" size="8" />
+		<layer id="798" name="559" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4975540" size="8" />
 			<output>
 				<port id="0" precision="I64" names="559" />
 			</output>
 		</layer>
-		<layer id="873" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="799" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12542,15 +12384,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="874" name="Constant_44751" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="6414668" size="4" />
+		<layer id="800" name="Constant_44751" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="6413324" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="875" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
+		<layer id="801" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -12565,13 +12407,13 @@
 				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="876" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="6414672" size="4" />
+		<layer id="802" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="6413328" size="4" />
 			<output>
 				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="877" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
+		<layer id="803" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="I32" />
@@ -12581,7 +12423,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="878" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+		<layer id="804" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -12591,7 +12433,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="879" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+		<layer id="805" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -12605,7 +12447,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="880" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+		<layer id="806" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="BOOL">
@@ -12618,7 +12460,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="881" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+		<layer id="807" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -12632,15 +12474,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="882" name="Constant_44752" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="808" name="Constant_44752" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="883" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+		<layer id="809" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -12656,7 +12498,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="884" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+		<layer id="810" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12681,7 +12523,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="885" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="811" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12698,7 +12540,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="886" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="812" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12720,8 +12562,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="887" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 2560" offset="26496568" size="1638400" />
+		<layer id="813" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 2560" offset="26490604" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -12729,7 +12571,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="888" name="Convert_229633" type="Convert" version="opset1">
+		<layer id="814" name="Convert_117183" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -12744,8 +12586,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="889" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="28134968" size="640" />
+		<layer id="815" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="28129004" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -12753,7 +12595,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="890" name="Convert_229636" type="Convert" version="opset1">
+		<layer id="816" name="Convert_117186" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -12768,7 +12610,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="891" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="817" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -12787,8 +12629,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="892" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="28135608" size="1280" />
+		<layer id="818" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="28129644" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -12796,7 +12638,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="893" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="819" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -12815,7 +12657,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="894" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="820" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -12830,7 +12672,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="895" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="821" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12851,8 +12693,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="896" name="Constant_76964" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="28136888" size="2560" />
+		<layer id="822" name="Constant_76964" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="28130924" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12861,7 +12703,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="897" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+		<layer id="823" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12883,7 +12725,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="898" name="__module.down_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="824" name="__module.down_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12905,52 +12747,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="899" name="__module.down_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="28139448" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="900" name="__module.down_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="28139452" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="901" name="__module.down_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="28139448" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="902" name="__module.down_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="28139452" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="903" name="__module.down_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>640</dim>
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-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>640</dim>
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-			</output>
-		</layer>
-		<layer id="904" name="__module.down_blocks.1.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="825" name="__module.down_blocks.1.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12966,21 +12763,21 @@
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 			</output>
 		</layer>
-		<layer id="905" name="Constant_73169" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="6826524" size="24" />
+		<layer id="826" name="Constant_73169" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="6825172" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="906" name="Constant_73170" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="940816" size="8" />
+		<layer id="827" name="Constant_73170" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="940160" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="907" name="Gather_73171" type="Gather" version="opset8">
+		<layer id="828" name="Gather_73171" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -12997,15 +12794,15 @@
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 			</output>
 		</layer>
-		<layer id="908" name="Constant_19334" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="28139456" size="8" />
+		<layer id="829" name="Constant_19334" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="28133484" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
-		<layer id="909" name="__module.down_blocks.1.attentions.0/prim::ListConstruct_1" type="Concat" version="opset1">
+		<layer id="830" name="__module.down_blocks.1.attentions.0/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -13021,7 +12818,7 @@
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 			</output>
 		</layer>
-		<layer id="910" name="__module.down_blocks.1.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+		<layer id="831" name="__module.down_blocks.1.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13042,15 +12839,15 @@
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 			</output>
 		</layer>
-		<layer id="911" name="Constant_19343" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="6826556" size="32" />
+		<layer id="832" name="Constant_19343" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="6825204" size="32" />
 			<output>
 				<port id="0" precision="I64" names="780">
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 		</layer>
-		<layer id="912" name="__module.down_blocks.1.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="833" name="__module.down_blocks.1.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13071,10 +12868,10 @@
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 			</output>
 		</layer>
-		<layer id="913" name="Constant_1241655" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 640, 1, 1" offset="28139464" size="409600" />
+		<layer id="834" name="self.down_blocks.1.attentions.0.proj_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640, 1, 1" offset="28133492" size="409600" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -13082,10 +12879,10 @@
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 			</output>
 		</layer>
-		<layer id="914" name="Convert_1241656" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="835" name="Convert_118547" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -13093,7 +12890,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -13101,10 +12898,10 @@
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 			</output>
 		</layer>
-		<layer id="915" name="Constant_1241657" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="28549064" size="2560" />
+		<layer id="836" name="self.down_blocks.1.attentions.0.proj_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="28543092" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -13112,16 +12909,35 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="916" name="__module.down_blocks.1.attentions.0.proj_out/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="837" name="Convert_118550" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="838" name="self.down_blocks.1.attentions.0.proj_out.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -13129,7 +12945,62 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="839" name="self.down_blocks.1.attentions.0.proj_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="28543732" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="840" name="self.down_blocks.1.attentions.0.proj_out.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="841" name="self.down_blocks.1.attentions.0.proj_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -13137,7 +13008,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="917" name="__module.down_blocks.1.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="842" name="__module.down_blocks.1.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13162,8 +13033,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="918" name="__module.down_blocks.1.attentions.0.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="28551624" size="2560" />
+		<layer id="843" name="__module.down_blocks.1.attentions.0.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="28545012" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13173,7 +13044,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="919" name="__module.down_blocks.1.attentions.0.proj_out/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="844" name="__module.down_blocks.1.attentions.0.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13198,7 +13069,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="920" name="__module.down_blocks.1.attentions.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="845" name="__module.down_blocks.1.attentions.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13223,23 +13094,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="921" name="self.down_blocks.1.resnets.1.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="640" offset="28554184" size="2560" />
+		<layer id="846" name="self.down_blocks.1.resnets.1.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="28547572" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.1.resnets.1.norm1.weight">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="922" name="self.down_blocks.1.resnets.1.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="640" offset="28556744" size="2560" />
+		<layer id="847" name="self.down_blocks.1.resnets.1.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="28550132" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.1.resnets.1.norm1.bias">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="923" name="__module.down_blocks.1.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="848" name="__module.down_blocks.1.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13264,7 +13135,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="924" name="__module.conv_act/aten::silu/Swish_10" type="Swish" version="opset4">
+		<layer id="849" name="__module.conv_act/aten::silu/Swish_10" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13282,76 +13153,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="925" name="__module.conv_act/aten::silu/Swish_10/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="850" name="self.down_blocks.1.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640, 3, 3" offset="28552692" size="3686400" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="926" name="__module.conv_act/aten::silu/Swish_10/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="28559304" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="927" name="__module.conv_act/aten::silu/Swish_10/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="851" name="Convert_116930" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="928" name="__module.conv_act/aten::silu/Swish_10/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="28559304" size="4" />
+		<layer id="852" name="self.down_blocks.1.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="32239092" size="640" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="929" name="__module.conv_act/aten::silu/Swish_10/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="853" name="Convert_116933" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="930" name="Constant_1241659" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 640, 3, 3" offset="28559308" size="3686400" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="854" name="self.down_blocks.1.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
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-		</layer>
-		<layer id="931" name="Convert_1241660" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>640</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -13359,10 +13238,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="932" name="Constant_1241661" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="32245708" size="2560" />
+		<layer id="855" name="self.down_blocks.1.resnets.1.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="32239732" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -13370,16 +13249,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="933" name="__module.down_blocks.1.resnets.1.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="856" name="self.down_blocks.1.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -13387,7 +13266,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -13395,7 +13274,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="934" name="__module.down_blocks.1.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="857" name="self.down_blocks.1.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="858" name="__module.down_blocks.1.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13420,8 +13318,8 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 640, 1, 1" offset="32248268" size="2560" />
+		<layer id="859" name="__module.down_blocks.1.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="32241012" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13431,7 +13329,7 @@
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 			</output>
 		</layer>
-		<layer id="936" name="__module.down_blocks.1.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="860" name="__module.down_blocks.1.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13456,8 +13354,8 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="640, 1280" offset="32250828" size="819200" />
+		<layer id="861" name="self.down_blocks.1.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1280" offset="32243572" size="819200" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -13465,7 +13363,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="938" name="Convert_230414" type="Convert" version="opset1">
+		<layer id="862" name="Convert_118195" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -13480,8 +13378,8 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="640, 1" offset="33070028" size="640" />
+		<layer id="863" name="self.down_blocks.1.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="33062772" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -13489,7 +13387,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="940" name="Convert_230417" type="Convert" version="opset1">
+		<layer id="864" name="Convert_118198" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -13504,7 +13402,7 @@
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 			</output>
 		</layer>
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+		<layer id="865" name="self.down_blocks.1.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -13523,8 +13421,8 @@
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 			</output>
 		</layer>
-		<layer id="942" name="self.down_blocks.1.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="33070668" size="1280" />
+		<layer id="866" name="self.down_blocks.1.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="33063412" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -13532,7 +13430,7 @@
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 			</output>
 		</layer>
-		<layer id="943" name="self.down_blocks.1.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="867" name="self.down_blocks.1.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -13551,7 +13449,7 @@
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 			</output>
 		</layer>
-		<layer id="944" name="self.down_blocks.1.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="868" name="self.down_blocks.1.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -13566,7 +13464,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="945" name="__module.down_blocks.1.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="869" name="__module.down_blocks.1.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13585,8 +13483,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="946" name="Constant_76965" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640" offset="33071948" size="2560" />
+		<layer id="870" name="Constant_76965" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640" offset="33064692" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13594,7 +13492,7 @@
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 			</output>
 		</layer>
-		<layer id="947" name="__module.down_blocks.1.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="871" name="__module.down_blocks.1.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13613,7 +13511,7 @@
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 			</output>
 		</layer>
-		<layer id="948" name="__module.down_blocks.1.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="872" name="__module.down_blocks.1.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13629,7 +13527,7 @@
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 			</output>
 		</layer>
-		<layer id="949" name="__module.down_blocks.1.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="873" name="__module.down_blocks.1.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13647,7 +13545,7 @@
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 			</output>
 		</layer>
-		<layer id="950" name="__module.down_blocks.1.resnets.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="874" name="__module.down_blocks.1.resnets.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13672,23 +13570,23 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="640" offset="33074508" size="2560" />
+		<layer id="875" name="self.down_blocks.1.resnets.1.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="33067252" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.1.resnets.1.norm2.weight">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="640" offset="33077068" size="2560" />
+		<layer id="876" name="self.down_blocks.1.resnets.1.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="33069812" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.1.resnets.1.norm2.bias">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="953" name="__module.down_blocks.1.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="877" name="__module.down_blocks.1.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13713,7 +13611,7 @@
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 			</output>
 		</layer>
-		<layer id="954" name="__module.conv_act/aten::silu/Swish_12" type="Swish" version="opset4">
+		<layer id="878" name="__module.conv_act/aten::silu/Swish_12" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13731,76 +13629,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="955" name="__module.conv_act/aten::silu/Swish_12/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="956" name="__module.conv_act/aten::silu/Swish_12/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16652" size="4" />
+		<layer id="879" name="self.down_blocks.1.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640, 3, 3" offset="33072372" size="3686400" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="957" name="__module.conv_act/aten::silu/Swish_12/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="880" name="Convert_116941" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="958" name="__module.conv_act/aten::silu/Swish_12/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16652" size="4" />
+		<layer id="881" name="self.down_blocks.1.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="36758772" size="640" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="959" name="__module.conv_act/aten::silu/Swish_12/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="882" name="Convert_116944" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="960" name="Constant_1241663" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 640, 3, 3" offset="33079628" size="3686400" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="883" name="self.down_blocks.1.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
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-		</layer>
-		<layer id="961" name="Convert_1241664" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>640</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -13808,10 +13714,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="962" name="Constant_1241665" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="36766028" size="2560" />
+		<layer id="884" name="self.down_blocks.1.resnets.1.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="36759412" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -13819,16 +13725,16 @@
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 			</output>
 		</layer>
-		<layer id="963" name="__module.down_blocks.1.resnets.1.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="885" name="self.down_blocks.1.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -13836,7 +13742,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="886" name="self.down_blocks.1.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -13844,7 +13769,7 @@
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 			</output>
 		</layer>
-		<layer id="964" name="__module.down_blocks.1.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="887" name="__module.down_blocks.1.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13869,8 +13794,8 @@
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 		</layer>
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-			<data element_type="f32" shape="1, 640, 1, 1" offset="36768588" size="2560" />
+		<layer id="888" name="__module.down_blocks.1.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="36760692" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13880,7 +13805,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13905,7 +13830,7 @@
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 			</output>
 		</layer>
-		<layer id="967" name="__module.down_blocks.1.resnets.1/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="890" name="__module.down_blocks.1.resnets.1/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13930,23 +13855,23 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="640" offset="36771148" size="2560" />
+		<layer id="891" name="self.down_blocks.1.attentions.1.norm.weight" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.1.attentions.1.norm.weight">
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-			<data element_type="f32" shape="640" offset="36773708" size="2560" />
+		<layer id="892" name="self.down_blocks.1.attentions.1.norm.bias" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.1.attentions.1.norm.bias">
 					<dim>640</dim>
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 		</layer>
-		<layer id="970" name="__module.down_blocks.1.attentions.1.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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 			<data num_groups="32" epsilon="9.9999999747524271e-07" />
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 				<port id="0" precision="FP32">
@@ -13971,76 +13896,84 @@
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-			<data element_type="f32" shape="" offset="36776272" size="4" />
+		<layer id="894" name="self.down_blocks.1.attentions.1.proj_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640, 1, 1" offset="36768372" size="409600" />
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+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data element_type="f32" shape="" offset="36776268" size="4" />
+		<layer id="895" name="Convert_118558" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			<output>
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+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data element_type="f32" shape="" offset="36776272" size="4" />
+		<layer id="896" name="self.down_blocks.1.attentions.1.proj_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="37177972" size="640" />
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+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="897" name="Convert_118561" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
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+				<port id="0" precision="U8">
 					<dim>640</dim>
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-					<dim>-1</dim>
+					<dim>1</dim>
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 			<output>
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+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
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-			<output>
-				<port id="0" precision="I8">
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+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
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 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
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-			<input>
-				<port id="0" precision="I8">
-					<dim>640</dim>
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 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP16">
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 					<dim>640</dim>
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@@ -14048,10 +13981,10 @@
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-			<data element_type="f32" shape="640, 1, 1, 1" offset="37185876" size="2560" />
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 					<dim>1</dim>
@@ -14059,16 +13992,16 @@
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 			<data auto_broadcast="numpy" />
 			<input>
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@@ -14076,7 +14009,26 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="901" name="self.down_blocks.1.attentions.1.proj_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
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+					<dim>1</dim>
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+			<output>
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 					<dim>640</dim>
 					<dim>1</dim>
@@ -14084,7 +14036,7 @@
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 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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@@ -14109,8 +14061,8 @@
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+		<layer id="903" name="__module.down_blocks.1.attentions.1.proj_in/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="37179892" size="2560" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14120,7 +14072,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -14145,15 +14097,15 @@
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 		</layer>
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+		<layer id="905" name="Constant_19638" type="Const" version="opset1">
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 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14174,15 +14126,15 @@
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 		</layer>
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+		<layer id="907" name="Constant_79887" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="19701396" size="24" />
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 				<port id="0" precision="I64">
 					<dim>3</dim>
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 		</layer>
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 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14203,15 +14155,15 @@
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 		</layer>
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="909" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
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 				<port id="0" precision="I32">
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 		</layer>
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+		<layer id="910" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -14231,8 +14183,8 @@
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 		</layer>
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+		<layer id="911" name="Constant_76966" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="37182452" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14241,7 +14193,7 @@
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 		</layer>
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+		<layer id="912" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -14263,8 +14215,8 @@
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 		</layer>
-		<layer id="991" name="Constant_76967" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="37193556" size="2560" />
+		<layer id="913" name="Constant_76967" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="37185012" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14273,7 +14225,7 @@
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 		</layer>
-		<layer id="992" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="914" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14295,8 +14247,8 @@
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 		</layer>
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 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -14304,7 +14256,7 @@
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 			</output>
 		</layer>
-		<layer id="994" name="Convert_230744" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -14319,8 +14271,8 @@
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-			<data element_type="u8" shape="640, 1" offset="37605716" size="640" />
+		<layer id="917" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -14328,7 +14280,7 @@
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 			</output>
 		</layer>
-		<layer id="996" name="Convert_230747" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -14343,7 +14295,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -14362,8 +14314,8 @@
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 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -14371,7 +14323,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
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@@ -14390,7 +14342,7 @@
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@@ -14405,7 +14357,7 @@
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 			<data transpose_a="false" transpose_b="true" />
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-					<dim>-1</dim>
-					<dim>640</dim>
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-			</output>
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-		<layer id="1007" name="Constant_79888" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="924" name="Constant_79888" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="925" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14500,15 +14407,15 @@
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 			</output>
 		</layer>
-		<layer id="1009" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="926" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1010" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
+		<layer id="927" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14529,8 +14436,8 @@
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 			</output>
 		</layer>
-		<layer id="1011" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 640" offset="37607644" size="409600" />
+		<layer id="928" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="37599092" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -14538,7 +14445,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1012" name="Convert_230733" type="Convert" version="opset1">
+		<layer id="929" name="Convert_118580" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -14553,8 +14460,8 @@
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 			</output>
 		</layer>
-		<layer id="1013" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="38017244" size="640" />
+		<layer id="930" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="38008692" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -14562,7 +14469,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1014" name="Convert_230736" type="Convert" version="opset1">
+		<layer id="931" name="Convert_118583" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -14577,7 +14484,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1015" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="932" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -14596,8 +14503,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1016" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="38017884" size="1280" />
+		<layer id="933" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="38009332" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -14605,7 +14512,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1017" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="934" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -14624,7 +14531,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1018" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="935" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -14639,7 +14546,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="936" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14660,60 +14567,15 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="38019164" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1021" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="38019168" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1022" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="38019164" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1023" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="38019168" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1024" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>640</dim>
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-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1025" name="Constant_79889" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="937" name="Constant_79889" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="938" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14734,15 +14596,15 @@
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 			</output>
 		</layer>
-		<layer id="1027" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="939" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1028" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="940" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14763,8 +14625,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1029" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 640" offset="38019172" size="409600" />
+		<layer id="941" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="38010612" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -14772,7 +14634,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1030" name="Convert_230722" type="Convert" version="opset1">
+		<layer id="942" name="Convert_118569" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -14787,8 +14649,8 @@
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 			</output>
 		</layer>
-		<layer id="1031" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="38428772" size="640" />
+		<layer id="943" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="38420212" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -14796,7 +14658,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1032" name="Convert_230725" type="Convert" version="opset1">
+		<layer id="944" name="Convert_118572" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -14811,7 +14673,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="945" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -14830,8 +14692,8 @@
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 			</output>
 		</layer>
-		<layer id="1034" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="38429412" size="1280" />
+		<layer id="946" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="38420852" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -14839,7 +14701,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1035" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="947" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -14858,7 +14720,7 @@
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 			</output>
 		</layer>
-		<layer id="1036" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="948" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -14873,7 +14735,7 @@
 				</port>
 			</output>
 		</layer>
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 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14894,15 +14756,15 @@
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 			</output>
 		</layer>
-		<layer id="1038" name="Constant_79890" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="950" name="Constant_79890" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14923,15 +14785,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="952" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="953" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14952,7 +14814,7 @@
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 			</output>
 		</layer>
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+		<layer id="954" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14983,15 +14845,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="955" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="956" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15012,15 +14874,15 @@
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 			</output>
 		</layer>
-		<layer id="1045" name="Constant_79891" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="20947080" size="24" />
+		<layer id="957" name="Constant_79891" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="20941132" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
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 		</layer>
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+		<layer id="958" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15041,8 +14903,8 @@
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 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -15050,7 +14912,7 @@
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 		</layer>
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 			<data destination_type="f16" />
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 				<port id="0" precision="U8">
@@ -15065,8 +14927,8 @@
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-			<data element_type="u8" shape="640, 1" offset="38840292" size="640" />
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 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -15074,7 +14936,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1050" name="Convert_230758" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -15089,7 +14951,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP16">
@@ -15108,8 +14970,8 @@
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-			<data element_type="f16" shape="640, 1" offset="38840932" size="1280" />
+		<layer id="964" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="38832372" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -15117,7 +14979,7 @@
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 			</output>
 		</layer>
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+		<layer id="965" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -15136,7 +14998,7 @@
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 			</output>
 		</layer>
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+		<layer id="966" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -15151,7 +15013,7 @@
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 			</output>
 		</layer>
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 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -15172,8 +15034,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1, 640" offset="38842212" size="2560" />
+		<layer id="968" name="Constant_76968" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="38833652" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -15182,7 +15044,7 @@
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 			</output>
 		</layer>
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+		<layer id="969" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15204,7 +15066,7 @@
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 			</output>
 		</layer>
-		<layer id="1058" name="__module.down_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="970" name="__module.down_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15226,15 +15088,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="971" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 			</output>
 		</layer>
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+		<layer id="972" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15254,8 +15116,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1, 640" offset="38844772" size="2560" />
+		<layer id="973" name="Constant_76969" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="38836212" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -15264,7 +15126,7 @@
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 			</output>
 		</layer>
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+		<layer id="974" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15286,8 +15148,8 @@
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 		</layer>
-		<layer id="1063" name="Constant_76970" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="38847332" size="2560" />
+		<layer id="975" name="Constant_76970" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="38838772" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -15296,7 +15158,7 @@
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 			</output>
 		</layer>
-		<layer id="1064" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="976" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15318,8 +15180,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="640, 640" offset="38849892" size="409600" />
+		<layer id="977" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="38841332" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -15327,7 +15189,7 @@
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 			</output>
 		</layer>
-		<layer id="1066" name="Convert_230766" type="Convert" version="opset1">
+		<layer id="978" name="Convert_118613" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -15342,8 +15204,8 @@
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 		</layer>
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-			<data element_type="u8" shape="640, 1" offset="39259492" size="640" />
+		<layer id="979" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="39250932" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -15351,7 +15213,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1068" name="Convert_230769" type="Convert" version="opset1">
+		<layer id="980" name="Convert_118616" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -15366,7 +15228,7 @@
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 			</output>
 		</layer>
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+		<layer id="981" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -15385,8 +15247,8 @@
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 			</output>
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-			<data element_type="f16" shape="640, 1" offset="39260132" size="1280" />
+		<layer id="982" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="39251572" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -15394,7 +15256,7 @@
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 			</output>
 		</layer>
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+		<layer id="983" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -15413,7 +15275,7 @@
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+		<layer id="984" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -15428,7 +15290,7 @@
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 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15449,52 +15311,7 @@
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-			<output>
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-			<data element_type="f32" shape="" offset="39261416" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="1076" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
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-			<output>
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-		<layer id="1077" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
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-			<output>
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-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15515,15 +15332,15 @@
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 				<port id="0" precision="I32">
 					<dim>4</dim>
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 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15544,8 +15361,8 @@
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 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -15553,7 +15370,7 @@
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 			</output>
 		</layer>
-		<layer id="1083" name="Convert_230491" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -15568,8 +15385,8 @@
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-			<data element_type="u8" shape="640, 1" offset="39752940" size="640" />
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 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -15577,7 +15394,7 @@
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 			</output>
 		</layer>
-		<layer id="1085" name="Convert_230494" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -15592,7 +15409,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -15611,8 +15428,8 @@
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 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -15620,7 +15437,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1088" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="995" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -15639,7 +15456,7 @@
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 			</output>
 		</layer>
-		<layer id="1089" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="996" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -15654,7 +15471,7 @@
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 		</layer>
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+		<layer id="997" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15675,60 +15492,15 @@
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 			</output>
 		</layer>
-		<layer id="1091" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="39754860" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1092" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="39754864" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1093" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="39754860" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1094" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="39754864" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1095" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>77</dim>
-					<dim>640</dim>
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-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>77</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1096" name="Constant_79892" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="998" name="Constant_79892" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="1097" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="999" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15749,15 +15521,15 @@
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 			</output>
 		</layer>
-		<layer id="1098" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="1000" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="1099" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1001" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15778,8 +15550,8 @@
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 			</output>
 		</layer>
-		<layer id="1100" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 768" offset="39754868" size="491520" />
+		<layer id="1002" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 768" offset="39746292" size="491520" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -15787,7 +15559,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1101" name="Convert_230480" type="Convert" version="opset1">
+		<layer id="1003" name="Convert_118294" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -15802,8 +15574,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1102" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="40246388" size="640" />
+		<layer id="1004" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="40237812" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -15811,7 +15583,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1103" name="Convert_230483" type="Convert" version="opset1">
+		<layer id="1005" name="Convert_118297" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -15826,7 +15598,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1104" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1006" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -15845,8 +15617,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1105" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="40247028" size="1280" />
+		<layer id="1007" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="40238452" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -15854,7 +15626,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1106" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1008" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -15873,7 +15645,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1107" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1009" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -15888,7 +15660,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1108" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1010" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15909,15 +15681,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1109" name="Constant_79893" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="1011" name="Constant_79893" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1110" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1012" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15938,15 +15710,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1111" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="1013" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1112" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1014" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15967,7 +15739,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1113" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="1015" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15998,15 +15770,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1114" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="1016" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1115" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1017" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16027,15 +15799,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1116" name="Constant_79894" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="20947080" size="24" />
+		<layer id="1018" name="Constant_79894" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="20941132" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1117" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="1019" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16056,8 +15828,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1118" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 640" offset="40248308" size="409600" />
+		<layer id="1020" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="40239732" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -16065,7 +15837,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1119" name="Convert_230777" type="Convert" version="opset1">
+		<layer id="1021" name="Convert_118624" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -16080,8 +15852,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1120" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="40657908" size="640" />
+		<layer id="1022" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="40649332" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -16089,7 +15861,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1121" name="Convert_230780" type="Convert" version="opset1">
+		<layer id="1023" name="Convert_118627" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -16104,7 +15876,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1122" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1024" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -16123,8 +15895,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1123" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="40658548" size="1280" />
+		<layer id="1025" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="40649972" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -16132,7 +15904,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1124" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1026" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -16151,7 +15923,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1125" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1027" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -16166,7 +15938,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1126" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1028" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16187,8 +15959,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1127" name="Constant_76971" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="40659828" size="2560" />
+		<layer id="1029" name="Constant_76971" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="40651252" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -16197,7 +15969,7 @@
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 		</layer>
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+		<layer id="1030" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -16219,7 +15991,7 @@
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-		<layer id="1129" name="__module.down_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
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 			<data auto_broadcast="numpy" />
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@@ -16241,15 +16013,15 @@
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
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+			<data element_type="i32" shape="1" offset="4452264" size="4" />
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+		<layer id="1033" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -16269,8 +16041,8 @@
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-			<data element_type="f32" shape="1, 1, 640" offset="40662388" size="2560" />
+		<layer id="1034" name="Constant_76972" type="Const" version="opset1">
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@@ -16279,7 +16051,7 @@
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+		<layer id="1035" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -16301,8 +16073,8 @@
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-		<layer id="1134" name="Constant_76973" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="40664948" size="2560" />
+		<layer id="1036" name="Constant_76973" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="40656372" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
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@@ -16311,7 +16083,7 @@
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-		<layer id="1135" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1037" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16333,8 +16105,8 @@
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-			<data element_type="u8" shape="5120, 640" offset="40667508" size="3276800" />
+		<layer id="1038" name="self.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="5120, 640" offset="40658932" size="3276800" />
 			<output>
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 					<dim>5120</dim>
@@ -16342,7 +16114,7 @@
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 			</output>
 		</layer>
-		<layer id="1137" name="Convert_229578" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -16357,8 +16129,8 @@
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-			<data element_type="u8" shape="5120, 1" offset="43944308" size="5120" />
+		<layer id="1040" name="self.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="5120, 1" offset="43935732" size="5120" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>5120</dim>
@@ -16366,7 +16138,7 @@
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 		</layer>
-		<layer id="1139" name="Convert_229581" type="Convert" version="opset1">
+		<layer id="1041" name="Convert_117021" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -16381,7 +16153,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -16400,8 +16172,8 @@
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-			<data element_type="f16" shape="5120, 1" offset="43949428" size="10240" />
+		<layer id="1043" name="self.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="5120, 1" offset="43940852" size="10240" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>5120</dim>
@@ -16409,7 +16181,7 @@
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 		</layer>
-		<layer id="1142" name="self.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1044" name="self.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -16428,7 +16200,7 @@
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 		</layer>
-		<layer id="1143" name="self.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1045" name="self.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -16443,7 +16215,7 @@
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-		<layer id="1144" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1046" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16464,8 +16236,8 @@
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-		<layer id="1145" name="Constant_76974" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 5120" offset="43959668" size="20480" />
+		<layer id="1047" name="Constant_76974" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 5120" offset="43951092" size="20480" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -16474,7 +16246,7 @@
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+		<layer id="1048" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16496,7 +16268,7 @@
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 		</layer>
-		<layer id="1147" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="1049" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16511,15 +16283,15 @@
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-		<layer id="1148" name="Constant_44823" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="6414668" size="4" />
+		<layer id="1050" name="Constant_44823" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="6413324" size="4" />
 			<output>
 				<port id="0" precision="I32">
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-		<layer id="1149" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
+		<layer id="1051" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -16534,7 +16306,7 @@
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 		</layer>
-		<layer id="1150" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
+		<layer id="1052" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="I32" />
@@ -16544,7 +16316,7 @@
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-		<layer id="1151" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+		<layer id="1053" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -16554,7 +16326,7 @@
 				<port id="2" precision="I32" />
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 		</layer>
-		<layer id="1152" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+		<layer id="1054" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -16568,7 +16340,7 @@
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 		</layer>
-		<layer id="1153" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+		<layer id="1055" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="BOOL">
@@ -16581,7 +16353,7 @@
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 			</output>
 		</layer>
-		<layer id="1154" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+		<layer id="1056" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -16595,15 +16367,15 @@
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 		</layer>
-		<layer id="1155" name="Constant_44824" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="1057" name="Constant_44824" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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-		<layer id="1156" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+		<layer id="1058" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -16619,7 +16391,7 @@
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 			</output>
 		</layer>
-		<layer id="1157" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+		<layer id="1059" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16644,7 +16416,7 @@
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 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16661,7 +16433,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16683,8 +16455,8 @@
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 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -16692,7 +16464,7 @@
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 			</output>
 		</layer>
-		<layer id="1161" name="Convert_229644" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -16707,8 +16479,8 @@
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-			<data element_type="u8" shape="640, 1" offset="45618548" size="640" />
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 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -16716,7 +16488,7 @@
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 		</layer>
-		<layer id="1163" name="Convert_229647" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -16731,7 +16503,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -16750,8 +16522,8 @@
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+			<data element_type="f16" shape="640, 1" offset="45610612" size="1280" />
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 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -16759,7 +16531,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -16778,7 +16550,7 @@
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 			<input>
 				<port id="0" precision="FP16">
@@ -16793,7 +16565,7 @@
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+		<layer id="1070" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16814,8 +16586,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1169" name="Constant_76975" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="45620468" size="2560" />
+		<layer id="1071" name="Constant_76975" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="45611892" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -16824,7 +16596,7 @@
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 		</layer>
-		<layer id="1170" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1072" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16846,7 +16618,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1171" name="__module.down_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="1073" name="__module.down_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16868,52 +16640,7 @@
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 			</output>
 		</layer>
-		<layer id="1172" name="__module.down_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="45623028" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="1173" name="__module.down_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="45623032" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="1174" name="__module.down_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="45623028" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="1175" name="__module.down_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="45623032" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="1176" name="__module.down_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
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-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>640</dim>
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-				<port id="4" precision="FP32" />
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-					<dim>-1</dim>
-					<dim>640</dim>
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-			</output>
-		</layer>
-		<layer id="1177" name="__module.down_blocks.1.attentions.1/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="1074" name="__module.down_blocks.1.attentions.1/aten::size/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16929,21 +16656,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1178" name="Constant_73178" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="6826524" size="24" />
+		<layer id="1075" name="Constant_73178" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="6825172" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1179" name="Constant_73179" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="940816" size="8" />
+		<layer id="1076" name="Constant_73179" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="940160" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1180" name="Gather_73180" type="Gather" version="opset8">
+		<layer id="1077" name="Gather_73180" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -16960,15 +16687,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1181" name="Constant_20935" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="28139456" size="8" />
+		<layer id="1078" name="Constant_20935" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="28133484" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1182" name="__module.down_blocks.1.attentions.1/prim::ListConstruct_1" type="Concat" version="opset1">
+		<layer id="1079" name="__module.down_blocks.1.attentions.1/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -16984,7 +16711,7 @@
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 			</output>
 		</layer>
-		<layer id="1183" name="__module.down_blocks.1.attentions.1/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1080" name="__module.down_blocks.1.attentions.1/aten::reshape/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17005,15 +16732,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1184" name="Constant_20944" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="6826556" size="32" />
+		<layer id="1081" name="Constant_20944" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="6825204" size="32" />
 			<output>
 				<port id="0" precision="I64" names="979">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1185" name="__module.down_blocks.1.attentions.1/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1082" name="__module.down_blocks.1.attentions.1/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17034,10 +16761,10 @@
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 			</output>
 		</layer>
-		<layer id="1186" name="Constant_1241671" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 640, 1, 1" offset="45623036" size="409600" />
+		<layer id="1083" name="self.down_blocks.1.attentions.1.proj_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640, 1, 1" offset="45614452" size="409600" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -17045,10 +16772,10 @@
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 			</output>
 		</layer>
-		<layer id="1187" name="Convert_1241672" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="1084" name="Convert_118635" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -17056,7 +16783,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -17064,10 +16791,29 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1188" name="Constant_1241673" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="46032636" size="2560" />
+		<layer id="1085" name="self.down_blocks.1.attentions.1.proj_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="46024052" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1086" name="Convert_118638" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -17075,16 +16821,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1189" name="__module.down_blocks.1.attentions.1.proj_out/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1087" name="self.down_blocks.1.attentions.1.proj_out.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -17092,7 +16838,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1088" name="self.down_blocks.1.attentions.1.proj_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="46024692" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1089" name="self.down_blocks.1.attentions.1.proj_out.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -17100,7 +16882,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1190" name="__module.down_blocks.1.attentions.1.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1090" name="self.down_blocks.1.attentions.1.proj_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1091" name="__module.down_blocks.1.attentions.1.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17125,8 +16926,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1191" name="__module.down_blocks.1.attentions.1.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="46035196" size="2560" />
+		<layer id="1092" name="__module.down_blocks.1.attentions.1.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="46025972" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -17136,7 +16937,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1192" name="__module.down_blocks.1.attentions.1.proj_out/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1093" name="__module.down_blocks.1.attentions.1.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17161,7 +16962,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1193" name="__module.down_blocks.1.attentions.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="1094" name="__module.down_blocks.1.attentions.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17186,76 +16987,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1194" name="__module.down_blocks.1.downsamplers.0.conv/aten::_convolution/Convolution/fq_input_0/input_low" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="1195" name="__module.down_blocks.1.downsamplers.0.conv/aten::_convolution/Convolution/fq_input_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="46037760" size="4" />
+		<layer id="1095" name="self.down_blocks.1.downsamplers.0.conv.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640, 3, 3" offset="46028532" size="3686400" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1196" name="__module.down_blocks.1.downsamplers.0.conv/aten::_convolution/Convolution/fq_input_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="46037756" size="4" />
+		<layer id="1096" name="Convert_116952" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1197" name="__module.down_blocks.1.downsamplers.0.conv/aten::_convolution/Convolution/fq_input_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="46037760" size="4" />
+		<layer id="1097" name="self.down_blocks.1.downsamplers.0.conv.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="49714932" size="640" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1098" name="Convert_116955" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data element_type="i8" shape="640, 640, 3, 3" offset="46037764" size="3686400" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="1099" name="self.down_blocks.1.downsamplers.0.conv.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
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-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>640</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
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-					<dim>3</dim>
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 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -17263,10 +17072,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1201" name="Constant_1241677" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="49724164" size="2560" />
+		<layer id="1100" name="self.down_blocks.1.downsamplers.0.conv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="49715572" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -17274,16 +17083,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1202" name="__module.down_blocks.1.downsamplers.0.conv/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1101" name="self.down_blocks.1.downsamplers.0.conv.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -17291,7 +17100,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1102" name="self.down_blocks.1.downsamplers.0.conv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -17299,7 +17127,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1203" name="__module.down_blocks.1.downsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1103" name="__module.down_blocks.1.downsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17324,8 +17152,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1204" name="__module.down_blocks.1.downsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="49726724" size="2560" />
+		<layer id="1104" name="__module.down_blocks.1.downsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="49716852" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -17335,7 +17163,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1205" name="__module.down_blocks.1.downsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1105" name="__module.down_blocks.1.downsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17360,76 +17188,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1206" name="__module.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="49729284" size="4" />
+		<layer id="1106" name="self.down_blocks.2.resnets.0.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 640, 1, 1" offset="49719412" size="819200" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1207" name="__module.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="49729288" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1208" name="__module.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="49729284" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1209" name="__module.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="49729288" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1210" name="__module.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1107" name="Convert_118206" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1211" name="Constant_1241679" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 640, 1, 1" offset="49729292" size="819200" />
+		<layer id="1108" name="self.down_blocks.2.resnets.0.conv_shortcut.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="50538612" size="1280" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>640</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1212" name="Convert_1241680" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="1109" name="Convert_118209" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1110" name="self.down_blocks.2.resnets.0.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -17437,10 +17273,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1213" name="Constant_1241681" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="50548492" size="5120" />
+		<layer id="1111" name="self.down_blocks.2.resnets.0.conv_shortcut.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="50539892" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -17448,16 +17284,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1214" name="__module.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1112" name="self.down_blocks.2.resnets.0.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -17465,7 +17301,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1113" name="self.down_blocks.2.resnets.0.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -17473,7 +17328,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1215" name="__module.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1114" name="__module.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17498,8 +17353,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1216" name="__module.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="50553612" size="5120" />
+		<layer id="1115" name="__module.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="50542452" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -17509,7 +17364,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1217" name="__module.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1116" name="__module.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17534,23 +17389,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1218" name="self.down_blocks.2.resnets.0.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="640" offset="50558732" size="2560" />
+		<layer id="1117" name="self.down_blocks.2.resnets.0.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="50547572" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.2.resnets.0.norm1.weight">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1219" name="self.down_blocks.2.resnets.0.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="640" offset="50561292" size="2560" />
+		<layer id="1118" name="self.down_blocks.2.resnets.0.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="50550132" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.2.resnets.0.norm1.bias">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1220" name="__module.down_blocks.2.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="1119" name="__module.down_blocks.2.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17575,7 +17430,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1221" name="__module.conv_act/aten::silu/Swish_13" type="Swish" version="opset4">
+		<layer id="1120" name="__module.conv_act/aten::silu/Swish_13" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17593,76 +17448,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1222" name="__module.conv_act/aten::silu/Swish_13/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="50563852" size="4" />
+		<layer id="1121" name="self.down_blocks.2.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 640, 3, 3" offset="50552692" size="7372800" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1223" name="__module.conv_act/aten::silu/Swish_13/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="50563856" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1224" name="__module.conv_act/aten::silu/Swish_13/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="50563852" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1225" name="__module.conv_act/aten::silu/Swish_13/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="50563856" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1226" name="__module.conv_act/aten::silu/Swish_13/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1122" name="Convert_116820" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1227" name="Constant_1241683" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 640, 3, 3" offset="50563860" size="7372800" />
+		<layer id="1123" name="self.down_blocks.2.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="57925492" size="1280" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>640</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1228" name="Convert_1241684" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="1124" name="Convert_116823" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1125" name="self.down_blocks.2.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -17670,10 +17533,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1229" name="Constant_1241685" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="57936660" size="5120" />
+		<layer id="1126" name="self.down_blocks.2.resnets.0.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="57926772" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -17681,16 +17544,16 @@
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 			</output>
 		</layer>
-		<layer id="1230" name="__module.down_blocks.2.resnets.0.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1127" name="self.down_blocks.2.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -17698,7 +17561,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1128" name="self.down_blocks.2.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -17706,7 +17588,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1231" name="__module.down_blocks.2.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1129" name="__module.down_blocks.2.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17731,8 +17613,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1232" name="__module.down_blocks.2.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="57941780" size="5120" />
+		<layer id="1130" name="__module.down_blocks.2.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="57929332" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -17742,7 +17624,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1233" name="__module.down_blocks.2.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1131" name="__module.down_blocks.2.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17767,8 +17649,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1234" name="self.down_blocks.2.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="57946900" size="1638400" />
+		<layer id="1132" name="self.down_blocks.2.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="57934452" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -17776,7 +17658,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1235" name="Convert_229677" type="Convert" version="opset1">
+		<layer id="1133" name="Convert_117227" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -17791,8 +17673,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1236" name="self.down_blocks.2.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="59585300" size="1280" />
+		<layer id="1134" name="self.down_blocks.2.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="59572852" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -17800,7 +17682,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1237" name="Convert_229680" type="Convert" version="opset1">
+		<layer id="1135" name="Convert_117230" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -17815,7 +17697,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1238" name="self.down_blocks.2.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1136" name="self.down_blocks.2.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -17834,8 +17716,8 @@
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 			</output>
 		</layer>
-		<layer id="1239" name="self.down_blocks.2.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="59586580" size="2560" />
+		<layer id="1137" name="self.down_blocks.2.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="59574132" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -17843,7 +17725,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1240" name="self.down_blocks.2.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1138" name="self.down_blocks.2.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -17862,7 +17744,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1241" name="self.down_blocks.2.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1139" name="self.down_blocks.2.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -17877,7 +17759,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1242" name="__module.down_blocks.2.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1140" name="__module.down_blocks.2.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17896,8 +17778,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1243" name="Constant_76976" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280" offset="59589140" size="5120" />
+		<layer id="1141" name="Constant_76976" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="59576692" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -17905,7 +17787,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1244" name="__module.down_blocks.2.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1142" name="__module.down_blocks.2.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17924,13 +17806,13 @@
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 			</output>
 		</layer>
-		<layer id="1245" name="1014" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3419248" size="8" />
+		<layer id="1143" name="1014" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="3418592" size="8" />
 			<output>
 				<port id="0" precision="I64" names="1014" />
 			</output>
 		</layer>
-		<layer id="1246" name="__module.down_blocks.2.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1144" name="__module.down_blocks.2.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17946,13 +17828,13 @@
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 			</output>
 		</layer>
-		<layer id="1247" name="1015" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3419256" size="8" />
+		<layer id="1145" name="1015" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="3418600" size="8" />
 			<output>
 				<port id="0" precision="I64" names="1015" />
 			</output>
 		</layer>
-		<layer id="1248" name="__module.down_blocks.2.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1146" name="__module.down_blocks.2.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17970,7 +17852,7 @@
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 			</output>
 		</layer>
-		<layer id="1249" name="__module.down_blocks.2.resnets.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="1147" name="__module.down_blocks.2.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17995,23 +17877,23 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1280" offset="59594260" size="5120" />
+		<layer id="1148" name="self.down_blocks.2.resnets.0.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="59581812" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.2.resnets.0.norm2.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1280" offset="59599380" size="5120" />
+		<layer id="1149" name="self.down_blocks.2.resnets.0.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="59586932" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.2.resnets.0.norm2.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1252" name="__module.down_blocks.2.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="1150" name="__module.down_blocks.2.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18036,7 +17918,7 @@
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 			</output>
 		</layer>
-		<layer id="1253" name="__module.conv_act/aten::silu/Swish_15" type="Swish" version="opset4">
+		<layer id="1151" name="__module.conv_act/aten::silu/Swish_15" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18054,76 +17936,84 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="16648" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="1255" name="__module.conv_act/aten::silu/Swish_15/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="59604500" size="4" />
+		<layer id="1152" name="self.down_blocks.2.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="59592052" size="14745600" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="1256" name="__module.conv_act/aten::silu/Swish_15/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="1153" name="Convert_116523" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="1257" name="__module.conv_act/aten::silu/Swish_15/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="59604500" size="4" />
+		<layer id="1154" name="self.down_blocks.2.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="74337652" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="1258" name="__module.conv_act/aten::silu/Swish_15/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1155" name="Convert_116526" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
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-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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-				<port id="2" precision="FP32" />
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-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
-		<layer id="1259" name="Constant_1241687" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I8">
+		<layer id="1156" name="self.down_blocks.2.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
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-		<layer id="1260" name="Convert_1241688" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -18131,10 +18021,10 @@
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-		<layer id="1261" name="Constant_1241689" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="74350104" size="5120" />
+		<layer id="1157" name="self.down_blocks.2.resnets.0.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="74338932" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
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 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -18142,16 +18032,16 @@
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 			</output>
 		</layer>
-		<layer id="1262" name="__module.down_blocks.2.resnets.0.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1158" name="self.down_blocks.2.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
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 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -18159,7 +18049,26 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1159" name="self.down_blocks.2.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 					<dim>1280</dim>
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@@ -18167,7 +18076,7 @@
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@@ -18192,8 +18101,8 @@
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-			<data element_type="f32" shape="1, 1280, 1, 1" offset="74355224" size="5120" />
+		<layer id="1161" name="__module.down_blocks.2.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -18203,7 +18112,7 @@
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 		</layer>
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@@ -18228,7 +18137,7 @@
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@@ -18253,23 +18162,23 @@
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-			<data element_type="f32" shape="1280" offset="74360344" size="5120" />
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-			<data element_type="f32" shape="1280" offset="74365464" size="5120" />
+		<layer id="1165" name="self.down_blocks.2.attentions.0.norm.bias" type="Const" version="opset1">
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 			<data num_groups="32" epsilon="9.9999999747524271e-07" />
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 				<port id="0" precision="FP32">
@@ -18294,76 +18203,84 @@
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-			<data element_type="f32" shape="" offset="74370584" size="4" />
+		<layer id="1167" name="self.down_blocks.2.attentions.0.proj_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 1, 1" offset="74356852" size="1638400" />
 			<output>
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-			<data element_type="f32" shape="" offset="74370588" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data element_type="f32" shape="" offset="74370584" size="4" />
+		<layer id="1168" name="Convert_117238" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="1273" name="__module.down_blocks.2.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="74370588" size="4" />
+		<layer id="1169" name="self.down_blocks.2.attentions.0.proj_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="75995252" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1170" name="Convert_117241" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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-			<output>
-				<port id="0" precision="I8">
+		<layer id="1171" name="self.down_blocks.2.attentions.0.proj_in.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
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 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
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-		<layer id="1276" name="Convert_1241692" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
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 					<dim>1280</dim>
 					<dim>1</dim>
@@ -18371,10 +18288,10 @@
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-		<layer id="1277" name="Constant_1241693" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="76008992" size="5120" />
+		<layer id="1172" name="self.down_blocks.2.attentions.0.proj_in.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="75996532" size="2560" />
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 					<dim>1</dim>
 					<dim>1</dim>
@@ -18382,16 +18299,16 @@
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 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
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 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -18399,7 +18316,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1174" name="self.down_blocks.2.attentions.0.proj_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -18407,7 +18343,7 @@
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 		</layer>
-		<layer id="1279" name="__module.down_blocks.2.attentions.0.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
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 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
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@@ -18432,8 +18368,8 @@
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 		</layer>
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-			<data element_type="f32" shape="1, 1280, 1, 1" offset="76014112" size="5120" />
+		<layer id="1176" name="__module.down_blocks.2.attentions.0.proj_in/aten::_convolution/Reshape" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -18443,7 +18379,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
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@@ -18468,15 +18404,15 @@
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+		<layer id="1178" name="Constant_21358" type="Const" version="opset1">
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 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18497,15 +18433,15 @@
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-			<data element_type="i64" shape="3" offset="76019232" size="24" />
+		<layer id="1180" name="Constant_79895" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="76004212" size="24" />
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 				<port id="0" precision="I64">
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 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18526,15 +18462,15 @@
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="1182" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
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 		</layer>
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+		<layer id="1183" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -18554,8 +18490,8 @@
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-			<data element_type="f32" shape="1, 1, 1280" offset="76019256" size="5120" />
+		<layer id="1184" name="Constant_76977" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -18564,7 +18500,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -18586,8 +18522,8 @@
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-			<data element_type="f32" shape="1, 1, 1280" offset="76024376" size="5120" />
+		<layer id="1186" name="Constant_76978" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -18596,7 +18532,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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+		<layer id="1188" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -18627,7 +18563,7 @@
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 		</layer>
-		<layer id="1293" name="Convert_229710" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -18642,8 +18578,8 @@
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-			<data element_type="u8" shape="1280, 1" offset="77667896" size="1280" />
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 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -18651,7 +18587,7 @@
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 			</output>
 		</layer>
-		<layer id="1295" name="Convert_229713" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -18666,7 +18602,7 @@
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@@ -18685,8 +18621,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1297" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="77669176" size="2560" />
+		<layer id="1193" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="77654156" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -18694,7 +18630,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1298" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1194" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -18713,7 +18649,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1299" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1195" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -18728,7 +18664,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="1196" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18749,60 +18685,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1301" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="77671736" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1302" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="77671740" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1303" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="77671736" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1304" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="77671740" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1305" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1306" name="Constant_79896" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="1197" name="Constant_79896" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="1198" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18823,15 +18714,15 @@
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 			</output>
 		</layer>
-		<layer id="1308" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="1199" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1309" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
+		<layer id="1200" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18852,8 +18743,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1310" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="77671776" size="1638400" />
+		<layer id="1201" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="77656748" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -18861,7 +18752,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1311" name="Convert_229699" type="Convert" version="opset1">
+		<layer id="1202" name="Convert_117260" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -18876,8 +18767,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1312" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="79310176" size="1280" />
+		<layer id="1203" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="79295148" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -18885,7 +18776,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1313" name="Convert_229702" type="Convert" version="opset1">
+		<layer id="1204" name="Convert_117263" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -18900,7 +18791,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1314" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1205" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -18919,8 +18810,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1315" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="79311456" size="2560" />
+		<layer id="1206" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="79296428" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -18928,7 +18819,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1316" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1207" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -18947,7 +18838,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1317" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1208" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -18962,7 +18853,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1318" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1209" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18983,60 +18874,15 @@
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 			</output>
 		</layer>
-		<layer id="1319" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="79314016" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1320" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="79314020" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1321" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="79314016" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1322" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="79314020" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1323" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>1280</dim>
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-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1324" name="Constant_79897" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="1210" name="Constant_79897" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1325" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1211" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19057,15 +18903,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1326" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="1212" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1327" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1213" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -19086,8 +18932,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1328" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="79314024" size="1638400" />
+		<layer id="1214" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="79298988" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -19095,7 +18941,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1329" name="Convert_229688" type="Convert" version="opset1">
+		<layer id="1215" name="Convert_117249" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -19110,8 +18956,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1330" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="80952424" size="1280" />
+		<layer id="1216" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="80937388" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -19119,7 +18965,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1331" name="Convert_229691" type="Convert" version="opset1">
+		<layer id="1217" name="Convert_117252" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -19134,7 +18980,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1332" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1218" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -19153,8 +18999,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1333" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="80953704" size="2560" />
+		<layer id="1219" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="80938668" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -19162,7 +19008,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1334" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1220" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -19181,7 +19027,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1335" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1221" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -19196,7 +19042,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1336" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1222" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19217,15 +19063,15 @@
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 			</output>
 		</layer>
-		<layer id="1337" name="Constant_79898" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="1223" name="Constant_79898" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
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@@ -19246,15 +19092,15 @@
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
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+			<data element_type="i32" shape="4" offset="4558220" size="16" />
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 				<port id="0" precision="I32">
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+		<layer id="1226" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
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 					<dim>-1</dim>
@@ -19275,7 +19121,7 @@
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 		</layer>
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@@ -19306,15 +19152,15 @@
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 				<port id="0" precision="I32">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -19335,15 +19181,15 @@
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 		</layer>
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-			<data element_type="i64" shape="3" offset="80956264" size="24" />
+		<layer id="1230" name="Constant_79899" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="80941228" size="24" />
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 				<port id="0" precision="I64">
 					<dim>3</dim>
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 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19364,8 +19210,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="1280, 1280" offset="80956288" size="1638400" />
+		<layer id="1232" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="80941252" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -19373,7 +19219,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1347" name="Convert_229721" type="Convert" version="opset1">
+		<layer id="1233" name="Convert_117282" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -19388,8 +19234,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="1280, 1" offset="82594688" size="1280" />
+		<layer id="1234" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="82579652" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -19397,7 +19243,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1349" name="Convert_229724" type="Convert" version="opset1">
+		<layer id="1235" name="Convert_117285" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -19412,7 +19258,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -19431,8 +19277,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="1280, 1" offset="82595968" size="2560" />
+		<layer id="1237" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="82580932" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -19440,7 +19286,7 @@
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 			</output>
 		</layer>
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+		<layer id="1238" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -19459,7 +19305,7 @@
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 			</output>
 		</layer>
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+		<layer id="1239" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -19474,7 +19320,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="1240" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19495,8 +19341,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1355" name="Constant_76979" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="82598528" size="5120" />
+		<layer id="1241" name="Constant_76979" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="82583492" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -19505,7 +19351,7 @@
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 			</output>
 		</layer>
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+		<layer id="1242" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19527,7 +19373,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1357" name="__module.down_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="1243" name="__module.down_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19549,15 +19395,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="1244" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 			</output>
 		</layer>
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+		<layer id="1245" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19577,8 +19423,8 @@
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 		</layer>
-		<layer id="1360" name="Constant_76980" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="82603648" size="5120" />
+		<layer id="1246" name="Constant_76980" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -19587,7 +19433,7 @@
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 			</output>
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+		<layer id="1247" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19609,8 +19455,8 @@
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 		</layer>
-		<layer id="1362" name="Constant_76981" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="82608768" size="5120" />
+		<layer id="1248" name="Constant_76981" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -19619,7 +19465,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19641,8 +19487,8 @@
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+			<data element_type="u8" shape="1280, 1280" offset="82598852" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -19650,7 +19496,7 @@
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 			</output>
 		</layer>
-		<layer id="1365" name="Convert_229732" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -19665,8 +19511,8 @@
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-			<data element_type="u8" shape="1280, 1" offset="84252288" size="1280" />
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 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -19674,7 +19520,7 @@
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 			</output>
 		</layer>
-		<layer id="1367" name="Convert_229735" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -19689,7 +19535,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -19708,8 +19554,8 @@
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 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -19717,7 +19563,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -19736,7 +19582,7 @@
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 			<input>
 				<port id="0" precision="FP16">
@@ -19751,7 +19597,7 @@
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-			<data element_type="i64" shape="1" offset="4976876" size="8" />
+		<layer id="1259" name="Constant_22112" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4975540" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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-			<data element_type="i64" shape="1" offset="4976884" size="8" />
+		<layer id="1260" name="Constant_22113" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4975548" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
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 		</layer>
-		<layer id="1380" name="Constant_22156" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="941472" size="8" />
+		<layer id="1261" name="Constant_22156" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="940816" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
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+		<layer id="1262" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2/prim::ListConstruct" type="Concat" version="opset1">
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@@ -19863,7 +19664,7 @@
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 				<port id="0" precision="FP32">
@@ -19884,15 +19685,15 @@
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 		</layer>
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+		<layer id="1265" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -19913,8 +19714,8 @@
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 		</layer>
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-			<data element_type="u8" shape="1280, 768" offset="84256136" size="983040" />
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 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -19922,7 +19723,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1386" name="Convert_230227" type="Convert" version="opset1">
+		<layer id="1267" name="Convert_117920" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -19937,8 +19738,8 @@
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-			<data element_type="u8" shape="1280, 1" offset="85239176" size="1280" />
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 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -19946,7 +19747,7 @@
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 			</output>
 		</layer>
-		<layer id="1388" name="Convert_230230" type="Convert" version="opset1">
+		<layer id="1269" name="Convert_117923" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -19961,7 +19762,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -19980,8 +19781,8 @@
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-			<data element_type="f16" shape="1280, 1" offset="85240456" size="2560" />
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+			<data element_type="f16" shape="1280, 1" offset="85225412" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -19989,7 +19790,7 @@
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 		</layer>
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+		<layer id="1272" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20008,7 +19809,7 @@
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 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20023,7 +19824,7 @@
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+		<layer id="1274" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
@@ -20044,60 +19845,15 @@
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-			<output>
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-			<data element_type="f32" shape="" offset="85243020" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="1396" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="85243016" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="1397" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="85243020" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="1398" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
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-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="1275" name="Constant_79900" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
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+		<layer id="1276" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20118,15 +19874,15 @@
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="1277" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I32">
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 		</layer>
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+		<layer id="1278" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -20147,8 +19903,8 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="1280, 768" offset="85243024" size="983040" />
+		<layer id="1279" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -20156,7 +19912,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1404" name="Convert_230216" type="Convert" version="opset1">
+		<layer id="1280" name="Convert_117909" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -20171,8 +19927,8 @@
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 		</layer>
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-			<data element_type="u8" shape="1280, 1" offset="86226064" size="1280" />
+		<layer id="1281" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="86211012" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -20180,7 +19936,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1406" name="Convert_230219" type="Convert" version="opset1">
+		<layer id="1282" name="Convert_117912" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -20195,7 +19951,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20214,8 +19970,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="1280, 1" offset="86227344" size="2560" />
+		<layer id="1284" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="86212292" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -20223,7 +19979,7 @@
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 			</output>
 		</layer>
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+		<layer id="1285" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20242,7 +19998,7 @@
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 			</output>
 		</layer>
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 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20257,7 +20013,7 @@
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 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
@@ -20278,15 +20034,15 @@
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 		</layer>
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-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="1288" name="Constant_79901" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
@@ -20307,15 +20063,15 @@
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 		</layer>
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
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 			<output>
 				<port id="0" precision="I32">
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 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -20336,7 +20092,7 @@
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 		</layer>
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 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20367,15 +20123,15 @@
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 		</layer>
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 				<port id="0" precision="I32">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -20396,15 +20152,15 @@
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-			<data element_type="i64" shape="3" offset="80956264" size="24" />
+		<layer id="1295" name="Constant_79902" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>3</dim>
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 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20425,8 +20181,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="1280, 1280" offset="86229904" size="1638400" />
+		<layer id="1297" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="86214852" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -20434,7 +20190,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1422" name="Convert_229743" type="Convert" version="opset1">
+		<layer id="1298" name="Convert_117304" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -20449,8 +20205,8 @@
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 		</layer>
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-			<data element_type="u8" shape="1280, 1" offset="87868304" size="1280" />
+		<layer id="1299" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="87853252" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -20458,7 +20214,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1424" name="Convert_229746" type="Convert" version="opset1">
+		<layer id="1300" name="Convert_117307" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -20473,7 +20229,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="1301" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20492,8 +20248,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="1280, 1" offset="87869584" size="2560" />
+		<layer id="1302" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="87854532" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -20501,7 +20257,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="1303" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20520,7 +20276,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="1304" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20535,7 +20291,7 @@
 				</port>
 			</output>
 		</layer>
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 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20556,8 +20312,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1430" name="Constant_76982" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="87872144" size="5120" />
+		<layer id="1306" name="Constant_76982" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="87857092" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -20566,7 +20322,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="1307" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20588,7 +20344,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1432" name="__module.down_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1308" name="__module.down_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20610,15 +20366,15 @@
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 			</output>
 		</layer>
-		<layer id="1433" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="1309" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1434" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1310" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20638,8 +20394,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1435" name="Constant_76983" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="87877264" size="5120" />
+		<layer id="1311" name="Constant_76983" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="87862212" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -20648,7 +20404,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1436" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1312" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20670,8 +20426,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1437" name="Constant_76984" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="87882384" size="5120" />
+		<layer id="1313" name="Constant_76984" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="87867332" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -20680,7 +20436,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1438" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1314" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20702,8 +20458,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="10240, 1280" offset="87887504" size="13107200" />
+		<layer id="1315" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1280" offset="87872452" size="13107200" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -20711,7 +20467,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1440" name="Convert_229435" type="Convert" version="opset1">
+		<layer id="1316" name="Convert_116743" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -20726,8 +20482,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="10240, 1" offset="100994704" size="10240" />
+		<layer id="1317" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="100979652" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -20735,7 +20491,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1442" name="Convert_229438" type="Convert" version="opset1">
+		<layer id="1318" name="Convert_116746" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -20750,7 +20506,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20769,8 +20525,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="10240, 1" offset="101004944" size="20480" />
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+			<data element_type="f16" shape="10240, 1" offset="100989892" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -20778,7 +20534,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1445" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1321" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20797,7 +20553,7 @@
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 			</output>
 		</layer>
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+		<layer id="1322" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20812,7 +20568,7 @@
 				</port>
 			</output>
 		</layer>
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 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20833,8 +20589,8 @@
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 			</output>
 		</layer>
-		<layer id="1448" name="Constant_76985" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="101025424" size="40960" />
+		<layer id="1324" name="Constant_76985" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -20843,7 +20599,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20865,13 +20621,13 @@
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 			</output>
 		</layer>
-		<layer id="1450" name="1003" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4976876" size="8" />
+		<layer id="1326" name="1003" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4975540" size="8" />
 			<output>
 				<port id="0" precision="I64" names="1003" />
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 		</layer>
-		<layer id="1451" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
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 			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20886,15 +20642,15 @@
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-		<layer id="1452" name="Constant_44895" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="6414668" size="4" />
+		<layer id="1328" name="Constant_44895" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -20909,13 +20665,13 @@
 				<port id="3" precision="I32" />
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 		</layer>
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-			<data element_type="i32" shape="" offset="6414672" size="4" />
+		<layer id="1330" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="6413328" size="4" />
 			<output>
 				<port id="0" precision="I32" />
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 		</layer>
-		<layer id="1455" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
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 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="I32" />
@@ -20925,7 +20681,7 @@
 				<port id="2" precision="I32" />
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 		</layer>
-		<layer id="1456" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -20935,7 +20691,7 @@
 				<port id="2" precision="I32" />
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 		</layer>
-		<layer id="1457" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+		<layer id="1333" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -20949,7 +20705,7 @@
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 			</output>
 		</layer>
-		<layer id="1458" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
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 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="BOOL">
@@ -20962,7 +20718,7 @@
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 		</layer>
-		<layer id="1459" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+		<layer id="1335" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -20976,15 +20732,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1460" name="Constant_44896" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="1336" name="Constant_44896" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1461" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+		<layer id="1337" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -21000,7 +20756,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1462" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+		<layer id="1338" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -21025,7 +20781,7 @@
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 			</output>
 		</layer>
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+		<layer id="1339" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21042,7 +20798,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1464" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="1340" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21064,8 +20820,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1465" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 5120" offset="101066384" size="6553600" />
+		<layer id="1341" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 5120" offset="101051332" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -21073,7 +20829,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1466" name="Convert_229501" type="Convert" version="opset1">
+		<layer id="1342" name="Convert_116842" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -21088,8 +20844,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1467" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="107619984" size="1280" />
+		<layer id="1343" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="107604932" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -21097,7 +20853,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1468" name="Convert_229504" type="Convert" version="opset1">
+		<layer id="1344" name="Convert_116845" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -21112,7 +20868,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1469" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1345" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -21131,8 +20887,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1470" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="107621264" size="2560" />
+		<layer id="1346" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="107606212" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -21140,7 +20896,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1471" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1347" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -21159,7 +20915,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1472" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1348" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -21174,7 +20930,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1473" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1349" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21195,8 +20951,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1474" name="Constant_76986" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="107623824" size="5120" />
+		<layer id="1350" name="Constant_76986" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="107608772" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -21205,7 +20961,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1475" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1351" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21227,7 +20983,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1476" name="__module.down_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="1352" name="__module.down_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21249,52 +21005,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1477" name="__module.down_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="107628944" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1478" name="__module.down_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="107628948" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1479" name="__module.down_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="107628944" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1480" name="__module.down_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="107628948" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1481" name="__module.down_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
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-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1482" name="__module.down_blocks.2.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="1353" name="__module.down_blocks.2.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21310,21 +21021,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1483" name="Constant_73187" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="6826524" size="24" />
+		<layer id="1354" name="Constant_73187" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="6825172" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1484" name="Constant_73188" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="940816" size="8" />
+		<layer id="1355" name="Constant_73188" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="940160" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1485" name="Gather_73189" type="Gather" version="opset8">
+		<layer id="1356" name="Gather_73189" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -21341,15 +21052,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1486" name="Constant_22655" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="107628952" size="8" />
+		<layer id="1357" name="Constant_22655" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="107613892" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1487" name="__module.down_blocks.2.attentions.0/prim::ListConstruct_1" type="Concat" version="opset1">
+		<layer id="1358" name="__module.down_blocks.2.attentions.0/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -21365,7 +21076,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1488" name="__module.down_blocks.2.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1359" name="__module.down_blocks.2.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21386,15 +21097,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1489" name="Constant_22664" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="6826556" size="32" />
+		<layer id="1360" name="Constant_22664" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="6825204" size="32" />
 			<output>
 				<port id="0" precision="I64" names="1224">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1490" name="__module.down_blocks.2.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1361" name="__module.down_blocks.2.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -21415,10 +21126,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1491" name="Constant_1241695" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 1, 1" offset="107628960" size="1638400" />
+		<layer id="1362" name="self.down_blocks.2.attentions.0.proj_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 1, 1" offset="107613900" size="1638400" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -21426,10 +21137,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1492" name="Convert_1241696" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="1363" name="Convert_117315" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -21437,7 +21148,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -21445,10 +21156,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1493" name="Constant_1241697" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="109267360" size="5120" />
+		<layer id="1364" name="self.down_blocks.2.attentions.0.proj_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="109252300" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -21456,16 +21167,35 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1494" name="__module.down_blocks.2.attentions.0.proj_out/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1365" name="Convert_117318" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1366" name="self.down_blocks.2.attentions.0.proj_out.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -21473,7 +21203,62 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1367" name="self.down_blocks.2.attentions.0.proj_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="109253580" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1368" name="self.down_blocks.2.attentions.0.proj_out.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1369" name="self.down_blocks.2.attentions.0.proj_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -21481,7 +21266,7 @@
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 			</output>
 		</layer>
-		<layer id="1495" name="__module.down_blocks.2.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1370" name="__module.down_blocks.2.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21506,8 +21291,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1496" name="__module.down_blocks.2.attentions.0.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="109272480" size="5120" />
+		<layer id="1371" name="__module.down_blocks.2.attentions.0.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="109256140" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -21517,7 +21302,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1497" name="__module.down_blocks.2.attentions.0.proj_out/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1372" name="__module.down_blocks.2.attentions.0.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21542,7 +21327,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1498" name="__module.down_blocks.2.attentions.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="1373" name="__module.down_blocks.2.attentions.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21567,23 +21352,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1499" name="self.down_blocks.2.resnets.1.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="109277600" size="5120" />
+		<layer id="1374" name="self.down_blocks.2.resnets.1.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="109261260" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.2.resnets.1.norm1.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1500" name="self.down_blocks.2.resnets.1.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="109282720" size="5120" />
+		<layer id="1375" name="self.down_blocks.2.resnets.1.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="109266380" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.2.resnets.1.norm1.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1501" name="__module.down_blocks.2.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="1376" name="__module.down_blocks.2.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21608,7 +21393,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1502" name="__module.conv_act/aten::silu/Swish_16" type="Swish" version="opset4">
+		<layer id="1377" name="__module.conv_act/aten::silu/Swish_16" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -21626,76 +21411,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1503" name="__module.conv_act/aten::silu/Swish_16/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="1378" name="self.down_blocks.2.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="109271500" size="14745600" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1504" name="__module.conv_act/aten::silu/Swish_16/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="59604500" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1505" name="__module.conv_act/aten::silu/Swish_16/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="1379" name="Convert_116534" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1506" name="__module.conv_act/aten::silu/Swish_16/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="59604500" size="4" />
+		<layer id="1380" name="self.down_blocks.2.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="124017100" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1507" name="__module.conv_act/aten::silu/Swish_16/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1381" name="Convert_116537" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1508" name="Constant_1241699" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="109287840" size="14745600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="1382" name="self.down_blocks.2.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="1509" name="Convert_1241700" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -21703,10 +21496,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1510" name="Constant_1241701" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="124033440" size="5120" />
+		<layer id="1383" name="self.down_blocks.2.resnets.1.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="124018380" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -21714,16 +21507,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1511" name="__module.down_blocks.2.resnets.1.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1384" name="self.down_blocks.2.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -21731,7 +21524,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -21739,7 +21532,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1512" name="__module.down_blocks.2.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1385" name="self.down_blocks.2.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1386" name="__module.down_blocks.2.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21764,8 +21576,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1513" name="__module.down_blocks.2.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="124038560" size="5120" />
+		<layer id="1387" name="__module.down_blocks.2.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="124020940" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -21775,7 +21587,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1514" name="__module.down_blocks.2.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1388" name="__module.down_blocks.2.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21800,8 +21612,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1515" name="self.down_blocks.2.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="124043680" size="1638400" />
+		<layer id="1389" name="self.down_blocks.2.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="124026060" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -21809,7 +21621,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1516" name="Convert_229765" type="Convert" version="opset1">
+		<layer id="1390" name="Convert_117337" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -21824,8 +21636,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1517" name="self.down_blocks.2.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="125682080" size="1280" />
+		<layer id="1391" name="self.down_blocks.2.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="125664460" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -21833,7 +21645,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1518" name="Convert_229768" type="Convert" version="opset1">
+		<layer id="1392" name="Convert_117340" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -21848,7 +21660,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1519" name="self.down_blocks.2.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1393" name="self.down_blocks.2.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -21867,8 +21679,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1520" name="self.down_blocks.2.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="125683360" size="2560" />
+		<layer id="1394" name="self.down_blocks.2.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="125665740" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -21876,7 +21688,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1521" name="self.down_blocks.2.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1395" name="self.down_blocks.2.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -21895,7 +21707,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1522" name="self.down_blocks.2.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1396" name="self.down_blocks.2.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -21910,7 +21722,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1523" name="__module.down_blocks.2.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1397" name="__module.down_blocks.2.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21929,8 +21741,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1524" name="Constant_76987" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280" offset="125685920" size="5120" />
+		<layer id="1398" name="Constant_76987" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="125668300" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -21938,7 +21750,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1525" name="__module.down_blocks.2.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1399" name="__module.down_blocks.2.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21957,7 +21769,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1526" name="__module.down_blocks.2.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1400" name="__module.down_blocks.2.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -21973,7 +21785,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1527" name="__module.down_blocks.2.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1401" name="__module.down_blocks.2.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -21991,7 +21803,7 @@
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 			</output>
 		</layer>
-		<layer id="1528" name="__module.down_blocks.2.resnets.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="1402" name="__module.down_blocks.2.resnets.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22016,23 +21828,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1529" name="self.down_blocks.2.resnets.1.norm2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="125691040" size="5120" />
+		<layer id="1403" name="self.down_blocks.2.resnets.1.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="125673420" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.2.resnets.1.norm2.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1280" offset="125696160" size="5120" />
+		<layer id="1404" name="self.down_blocks.2.resnets.1.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="125678540" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.2.resnets.1.norm2.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1531" name="__module.down_blocks.2.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="1405" name="__module.down_blocks.2.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22057,7 +21869,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1532" name="__module.conv_act/aten::silu/Swish_18" type="Swish" version="opset4">
+		<layer id="1406" name="__module.conv_act/aten::silu/Swish_18" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -22075,76 +21887,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1533" name="__module.conv_act/aten::silu/Swish_18/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1534" name="__module.conv_act/aten::silu/Swish_18/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="125701280" size="4" />
+		<layer id="1407" name="self.down_blocks.2.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="125683660" size="14745600" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1535" name="__module.conv_act/aten::silu/Swish_18/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="1408" name="Convert_116545" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1536" name="__module.conv_act/aten::silu/Swish_18/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="125701280" size="4" />
+		<layer id="1409" name="self.down_blocks.2.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="140429260" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1537" name="__module.conv_act/aten::silu/Swish_18/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1410" name="Convert_116548" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1538" name="Constant_1241703" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="125701284" size="14745600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="1411" name="self.down_blocks.2.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
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-		<layer id="1539" name="Convert_1241704" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -22152,10 +21972,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1540" name="Constant_1241705" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="140446884" size="5120" />
+		<layer id="1412" name="self.down_blocks.2.resnets.1.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="140430540" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -22163,16 +21983,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1541" name="__module.down_blocks.2.resnets.1.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1413" name="self.down_blocks.2.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -22180,7 +22000,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1414" name="self.down_blocks.2.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -22188,7 +22027,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1542" name="__module.down_blocks.2.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1415" name="__module.down_blocks.2.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22213,8 +22052,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1543" name="__module.down_blocks.2.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="140452004" size="5120" />
+		<layer id="1416" name="__module.down_blocks.2.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="140433100" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -22224,7 +22063,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1544" name="__module.down_blocks.2.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1417" name="__module.down_blocks.2.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22249,7 +22088,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1545" name="__module.down_blocks.2.resnets.1/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1418" name="__module.down_blocks.2.resnets.1/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22274,23 +22113,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1546" name="self.down_blocks.2.attentions.1.norm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="140457124" size="5120" />
+		<layer id="1419" name="self.down_blocks.2.attentions.1.norm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="140438220" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.2.attentions.1.norm.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1547" name="self.down_blocks.2.attentions.1.norm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="140462244" size="5120" />
+		<layer id="1420" name="self.down_blocks.2.attentions.1.norm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="140443340" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.2.attentions.1.norm.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1548" name="__module.down_blocks.2.attentions.1.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="1421" name="__module.down_blocks.2.attentions.1.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22315,76 +22154,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1549" name="__module.down_blocks.2.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="140467364" size="4" />
+		<layer id="1422" name="self.down_blocks.2.attentions.1.proj_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 1, 1" offset="140448460" size="1638400" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1550" name="__module.down_blocks.2.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="140467368" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1551" name="__module.down_blocks.2.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="140467364" size="4" />
+		<layer id="1423" name="Convert_117348" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1552" name="__module.down_blocks.2.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="140467368" size="4" />
+		<layer id="1424" name="self.down_blocks.2.attentions.1.proj_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="142086860" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1553" name="__module.down_blocks.2.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1425" name="Convert_117351" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1554" name="Constant_1241707" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 1, 1" offset="140467372" size="1638400" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="1426" name="self.down_blocks.2.attentions.1.proj_in.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="1555" name="Convert_1241708" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -22392,10 +22239,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1556" name="Constant_1241709" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="142105772" size="5120" />
+		<layer id="1427" name="self.down_blocks.2.attentions.1.proj_in.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="142088140" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -22403,16 +22250,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1557" name="__module.down_blocks.2.attentions.1.proj_in/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1428" name="self.down_blocks.2.attentions.1.proj_in.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -22420,7 +22267,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1429" name="self.down_blocks.2.attentions.1.proj_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -22428,7 +22294,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1558" name="__module.down_blocks.2.attentions.1.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1430" name="__module.down_blocks.2.attentions.1.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22453,8 +22319,8 @@
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-			<data element_type="f32" shape="1, 1280, 1, 1" offset="142110892" size="5120" />
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+			<data element_type="f32" shape="1, 1280, 1, 1" offset="142090700" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -22464,7 +22330,7 @@
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 			</output>
 		</layer>
-		<layer id="1560" name="__module.down_blocks.2.attentions.1.proj_in/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1432" name="__module.down_blocks.2.attentions.1.proj_in/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22489,15 +22355,15 @@
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 			</output>
 		</layer>
-		<layer id="1561" name="Constant_22959" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4453520" size="32" />
+		<layer id="1433" name="Constant_22959" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4452208" size="32" />
 			<output>
 				<port id="0" precision="I64" names="1299">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="1434" name="__module.down_blocks.2.attentions.1/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -22518,15 +22384,15 @@
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 			</output>
 		</layer>
-		<layer id="1563" name="Constant_79903" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="76019232" size="24" />
+		<layer id="1435" name="Constant_79903" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="76004212" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="1564" name="__module.down_blocks.2.attentions.1/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="1436" name="__module.down_blocks.2.attentions.1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22547,15 +22413,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="1437" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="1438" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22575,8 +22441,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1567" name="Constant_76988" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="142116012" size="5120" />
+		<layer id="1439" name="Constant_76988" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="142095820" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -22585,7 +22451,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1568" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1440" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22607,8 +22473,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1569" name="Constant_76989" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="142121132" size="5120" />
+		<layer id="1441" name="Constant_76989" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="142100940" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -22617,7 +22483,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1570" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1442" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22639,8 +22505,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1571" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="142126252" size="1638400" />
+		<layer id="1443" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="142106060" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -22648,7 +22514,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1572" name="Convert_229798" type="Convert" version="opset1">
+		<layer id="1444" name="Convert_117381" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -22663,8 +22529,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1573" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="143764652" size="1280" />
+		<layer id="1445" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="143744460" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -22672,7 +22538,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1574" name="Convert_229801" type="Convert" version="opset1">
+		<layer id="1446" name="Convert_117384" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -22687,7 +22553,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1575" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1447" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -22706,8 +22572,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1576" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="143765932" size="2560" />
+		<layer id="1448" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="143745740" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -22715,7 +22581,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1577" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1449" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -22734,7 +22600,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1578" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1450" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -22749,7 +22615,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="1451" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22770,60 +22636,15 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="143768492" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="1581" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="143768496" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="1582" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="143768492" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="1583" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="143768496" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="1584" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
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-			<input>
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-					<dim>-1</dim>
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-				<port id="2" precision="FP32" />
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-				<port id="4" precision="FP32" />
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-					<dim>1280</dim>
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-		<layer id="1585" name="Constant_79904" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="1452" name="Constant_79904" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
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+		<layer id="1453" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22844,15 +22665,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
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+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
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 			</output>
 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -22873,8 +22694,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="1280, 1280" offset="143768500" size="1638400" />
+		<layer id="1456" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="143748300" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -22882,7 +22703,7 @@
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 			</output>
 		</layer>
-		<layer id="1590" name="Convert_229787" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -22897,8 +22718,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="1280, 1" offset="145406900" size="1280" />
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 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -22906,7 +22727,7 @@
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 			</output>
 		</layer>
-		<layer id="1592" name="Convert_229790" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -22921,7 +22742,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -22940,8 +22761,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="1280, 1" offset="145408180" size="2560" />
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+			<data element_type="f16" shape="1280, 1" offset="145387980" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -22949,7 +22770,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -22968,7 +22789,7 @@
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 		</layer>
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 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -22983,7 +22804,7 @@
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 			</output>
 		</layer>
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 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23004,60 +22825,15 @@
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 		</layer>
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@@ -23671,7 +23170,7 @@
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 		</layer>
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@@ -23686,8 +23185,8 @@
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@@ -23695,7 +23194,7 @@
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@@ -23729,8 +23228,8 @@
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@@ -23738,7 +23237,7 @@
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@@ -23757,7 +23256,7 @@
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@@ -23772,7 +23271,7 @@
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+		<layer id="1515" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1659" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
+		<layer id="1516" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -23888,8 +23619,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1660" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 768" offset="150352836" size="983040" />
+		<layer id="1517" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="150332620" size="983040" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -23897,7 +23628,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1661" name="Convert_230249" type="Convert" version="opset1">
+		<layer id="1518" name="Convert_117942" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -23912,8 +23643,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1662" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="151335876" size="1280" />
+		<layer id="1519" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="151315660" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -23921,7 +23652,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1663" name="Convert_230252" type="Convert" version="opset1">
+		<layer id="1520" name="Convert_117945" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -23936,7 +23667,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1664" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1521" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -23955,8 +23686,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1665" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="151337156" size="2560" />
+		<layer id="1522" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="151316940" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -23964,7 +23695,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1666" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1523" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -23983,7 +23714,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1667" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1524" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -23998,7 +23729,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1668" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1525" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24019,60 +23750,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1669" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="151339716" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1670" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="151339720" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1671" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="151339716" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1672" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="151339720" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1673" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>77</dim>
-					<dim>1280</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>77</dim>
-					<dim>1280</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1674" name="Constant_79908" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="1526" name="Constant_79908" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1675" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1527" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24093,15 +23779,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1676" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="1528" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1677" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1529" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -24122,8 +23808,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1678" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 768" offset="151339724" size="983040" />
+		<layer id="1530" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="151319500" size="983040" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -24131,7 +23817,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1679" name="Convert_230238" type="Convert" version="opset1">
+		<layer id="1531" name="Convert_117931" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -24146,8 +23832,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1680" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="152322764" size="1280" />
+		<layer id="1532" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="152302540" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -24155,7 +23841,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1681" name="Convert_230241" type="Convert" version="opset1">
+		<layer id="1533" name="Convert_117934" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -24170,7 +23856,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1682" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1534" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -24189,8 +23875,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1683" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="152324044" size="2560" />
+		<layer id="1535" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="152303820" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -24198,7 +23884,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1684" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1536" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -24217,7 +23903,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1685" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1537" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -24232,7 +23918,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1686" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1538" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24253,15 +23939,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1687" name="Constant_79909" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="1539" name="Constant_79909" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1688" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1540" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24282,15 +23968,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1689" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="1541" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1690" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1542" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -24311,7 +23997,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1691" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="1543" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24342,15 +24028,15 @@
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 			</output>
 		</layer>
-		<layer id="1692" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="1544" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1693" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1545" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -24371,15 +24057,15 @@
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 			</output>
 		</layer>
-		<layer id="1694" name="Constant_79910" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="80956264" size="24" />
+		<layer id="1546" name="Constant_79910" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="80941228" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1695" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="1547" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24400,8 +24086,8 @@
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 			</output>
 		</layer>
-		<layer id="1696" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="152326604" size="1638400" />
+		<layer id="1548" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="152306380" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -24409,7 +24095,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1697" name="Convert_229831" type="Convert" version="opset1">
+		<layer id="1549" name="Convert_117414" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -24424,8 +24110,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="1280, 1" offset="153965004" size="1280" />
+		<layer id="1550" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="153944780" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -24433,7 +24119,7 @@
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 		</layer>
-		<layer id="1699" name="Convert_229834" type="Convert" version="opset1">
+		<layer id="1551" name="Convert_117417" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -24448,7 +24134,7 @@
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 		</layer>
-		<layer id="1700" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1552" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -24467,8 +24153,8 @@
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-		<layer id="1701" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="153966284" size="2560" />
+		<layer id="1553" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="153946060" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -24476,7 +24162,7 @@
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+		<layer id="1554" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -24495,7 +24181,7 @@
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 		</layer>
-		<layer id="1703" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1555" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -24510,7 +24196,7 @@
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 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24531,8 +24217,8 @@
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 		</layer>
-		<layer id="1705" name="Constant_76993" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="153968844" size="5120" />
+		<layer id="1557" name="Constant_76993" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="153948620" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -24541,7 +24227,7 @@
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 		</layer>
-		<layer id="1706" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1558" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24563,7 +24249,7 @@
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 			</output>
 		</layer>
-		<layer id="1707" name="__module.down_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1559" name="__module.down_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24585,15 +24271,15 @@
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 		</layer>
-		<layer id="1708" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="1560" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="1709" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1561" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24613,8 +24299,8 @@
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 			</output>
 		</layer>
-		<layer id="1710" name="Constant_76994" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="153973964" size="5120" />
+		<layer id="1562" name="Constant_76994" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="153953740" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -24623,7 +24309,7 @@
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 			</output>
 		</layer>
-		<layer id="1711" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1563" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24645,8 +24331,8 @@
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 			</output>
 		</layer>
-		<layer id="1712" name="Constant_76995" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="153979084" size="5120" />
+		<layer id="1564" name="Constant_76995" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="153958860" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -24655,7 +24341,7 @@
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 			</output>
 		</layer>
-		<layer id="1713" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1565" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24677,8 +24363,8 @@
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 			</output>
 		</layer>
-		<layer id="1714" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1280" offset="153984204" size="13107200" />
+		<layer id="1566" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1280" offset="153963980" size="13107200" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -24686,7 +24372,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1715" name="Convert_229446" type="Convert" version="opset1">
+		<layer id="1567" name="Convert_116754" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -24701,8 +24387,8 @@
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 			</output>
 		</layer>
-		<layer id="1716" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="167091404" size="10240" />
+		<layer id="1568" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="167071180" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -24710,7 +24396,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1717" name="Convert_229449" type="Convert" version="opset1">
+		<layer id="1569" name="Convert_116757" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -24725,7 +24411,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1718" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1570" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -24744,8 +24430,8 @@
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 			</output>
 		</layer>
-		<layer id="1719" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="167101644" size="20480" />
+		<layer id="1571" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="167081420" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -24753,7 +24439,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1720" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1572" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -24772,7 +24458,7 @@
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 			</output>
 		</layer>
-		<layer id="1721" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1573" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -24787,7 +24473,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="1574" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24808,8 +24494,8 @@
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 			</output>
 		</layer>
-		<layer id="1723" name="Constant_76996" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="167122124" size="40960" />
+		<layer id="1575" name="Constant_76996" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 10240" offset="167101900" size="40960" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -24818,7 +24504,7 @@
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 			</output>
 		</layer>
-		<layer id="1724" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1576" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24840,7 +24526,7 @@
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 			</output>
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-		<layer id="1725" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="1577" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24855,15 +24541,15 @@
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-		<layer id="1726" name="Constant_44967" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="6414668" size="4" />
+		<layer id="1578" name="Constant_44967" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="6413324" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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-		<layer id="1727" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
+		<layer id="1579" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -24878,7 +24564,7 @@
 				<port id="3" precision="I32" />
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 		</layer>
-		<layer id="1728" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
+		<layer id="1580" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="I32" />
@@ -24888,7 +24574,7 @@
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 		</layer>
-		<layer id="1729" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+		<layer id="1581" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -24898,7 +24584,7 @@
 				<port id="2" precision="I32" />
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 		</layer>
-		<layer id="1730" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+		<layer id="1582" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -24912,7 +24598,7 @@
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 			</output>
 		</layer>
-		<layer id="1731" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+		<layer id="1583" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="BOOL">
@@ -24925,7 +24611,7 @@
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 			</output>
 		</layer>
-		<layer id="1732" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -24939,15 +24625,15 @@
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-		<layer id="1733" name="Constant_44968" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="1585" name="Constant_44968" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
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 			<data axis="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -24963,7 +24649,7 @@
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 		</layer>
-		<layer id="1735" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -24988,7 +24674,7 @@
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+		<layer id="1588" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25005,7 +24691,7 @@
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-		<layer id="1737" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25027,8 +24713,8 @@
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 		</layer>
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-			<data element_type="u8" shape="1280, 5120" offset="167163084" size="6553600" />
+		<layer id="1590" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 5120" offset="167142860" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -25036,7 +24722,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1739" name="Convert_229512" type="Convert" version="opset1">
+		<layer id="1591" name="Convert_116853" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -25051,8 +24737,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1740" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="173716684" size="1280" />
+		<layer id="1592" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="173696460" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -25060,7 +24746,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1741" name="Convert_229515" type="Convert" version="opset1">
+		<layer id="1593" name="Convert_116856" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -25075,7 +24761,7 @@
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 			</output>
 		</layer>
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+		<layer id="1594" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -25094,8 +24780,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1743" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="173717964" size="2560" />
+		<layer id="1595" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="173697740" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -25103,7 +24789,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1744" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1596" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -25122,7 +24808,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1745" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1597" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -25137,7 +24823,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1746" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1598" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25158,8 +24844,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1747" name="Constant_76997" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="173720524" size="5120" />
+		<layer id="1599" name="Constant_76997" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="173700300" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -25168,7 +24854,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1748" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1600" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25190,7 +24876,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1749" name="__module.down_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="1601" name="__module.down_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25212,52 +24898,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1750" name="__module.down_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="173725644" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1751" name="__module.down_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="173725648" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1752" name="__module.down_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="173725644" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1753" name="__module.down_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="173725648" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1754" name="__module.down_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
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-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
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-			</output>
-		</layer>
-		<layer id="1755" name="__module.down_blocks.2.attentions.1/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="1602" name="__module.down_blocks.2.attentions.1/aten::size/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25273,21 +24914,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1756" name="Constant_73196" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="6826524" size="24" />
+		<layer id="1603" name="Constant_73196" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="6825172" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1757" name="Constant_73197" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="940816" size="8" />
+		<layer id="1604" name="Constant_73197" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="940160" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1758" name="Gather_73198" type="Gather" version="opset8">
+		<layer id="1605" name="Gather_73198" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -25304,15 +24945,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1759" name="Constant_24256" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="107628952" size="8" />
+		<layer id="1606" name="Constant_24256" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="107613892" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1760" name="__module.down_blocks.2.attentions.1/prim::ListConstruct_1" type="Concat" version="opset1">
+		<layer id="1607" name="__module.down_blocks.2.attentions.1/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -25328,7 +24969,7 @@
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 			</output>
 		</layer>
-		<layer id="1761" name="__module.down_blocks.2.attentions.1/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1608" name="__module.down_blocks.2.attentions.1/aten::reshape/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25349,15 +24990,15 @@
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 			</output>
 		</layer>
-		<layer id="1762" name="Constant_24265" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="6826556" size="32" />
+		<layer id="1609" name="Constant_24265" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="6825204" size="32" />
 			<output>
 				<port id="0" precision="I64" names="1423">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1763" name="__module.down_blocks.2.attentions.1/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1610" name="__module.down_blocks.2.attentions.1/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -25378,10 +25019,10 @@
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 			</output>
 		</layer>
-		<layer id="1764" name="Constant_1241711" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 1, 1" offset="173725652" size="1638400" />
+		<layer id="1611" name="self.down_blocks.2.attentions.1.proj_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 1, 1" offset="173705420" size="1638400" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -25389,10 +25030,10 @@
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 			</output>
 		</layer>
-		<layer id="1765" name="Convert_1241712" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="1612" name="Convert_117425" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -25400,7 +25041,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -25408,10 +25049,10 @@
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 			</output>
 		</layer>
-		<layer id="1766" name="Constant_1241713" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="175364052" size="5120" />
+		<layer id="1613" name="self.down_blocks.2.attentions.1.proj_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="175343820" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -25419,16 +25060,35 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1767" name="__module.down_blocks.2.attentions.1.proj_out/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1614" name="Convert_117428" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1615" name="self.down_blocks.2.attentions.1.proj_out.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -25436,15 +25096,70 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
 					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1616" name="self.down_blocks.2.attentions.1.proj_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="175345100" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1768" name="__module.down_blocks.2.attentions.1.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1617" name="self.down_blocks.2.attentions.1.proj_out.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1618" name="self.down_blocks.2.attentions.1.proj_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1619" name="__module.down_blocks.2.attentions.1.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25469,8 +25184,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1280, 1, 1" offset="175369172" size="5120" />
+		<layer id="1620" name="__module.down_blocks.2.attentions.1.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="175347660" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -25480,7 +25195,7 @@
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 			</output>
 		</layer>
-		<layer id="1770" name="__module.down_blocks.2.attentions.1.proj_out/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1621" name="__module.down_blocks.2.attentions.1.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25505,7 +25220,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1771" name="__module.down_blocks.2.attentions.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="1622" name="__module.down_blocks.2.attentions.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25530,76 +25245,84 @@
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 			</output>
 		</layer>
-		<layer id="1772" name="__module.down_blocks.2.downsamplers.0.conv/aten::_convolution/Convolution/fq_input_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="175374292" size="4" />
+		<layer id="1623" name="self.down_blocks.2.downsamplers.0.conv.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="175352780" size="14745600" />
 			<output>
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-		<layer id="1773" name="__module.down_blocks.2.downsamplers.0.conv/aten::_convolution/Convolution/fq_input_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="175374296" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1774" name="__module.down_blocks.2.downsamplers.0.conv/aten::_convolution/Convolution/fq_input_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="175374292" size="4" />
+		<layer id="1624" name="Convert_116556" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1775" name="__module.down_blocks.2.downsamplers.0.conv/aten::_convolution/Convolution/fq_input_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="175374296" size="4" />
+		<layer id="1625" name="self.down_blocks.2.downsamplers.0.conv.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="190098380" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1776" name="__module.down_blocks.2.downsamplers.0.conv/aten::_convolution/Convolution/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1626" name="Convert_116559" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1777" name="Constant_1241715" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="175374300" size="14745600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="1627" name="self.down_blocks.2.downsamplers.0.conv.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="1778" name="Convert_1241716" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -25607,10 +25330,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1779" name="Constant_1241717" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="190119900" size="5120" />
+		<layer id="1628" name="self.down_blocks.2.downsamplers.0.conv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="190099660" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -25618,16 +25341,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1780" name="__module.down_blocks.2.downsamplers.0.conv/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1629" name="self.down_blocks.2.downsamplers.0.conv.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -25635,7 +25358,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -25643,7 +25366,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1781" name="__module.down_blocks.2.downsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1630" name="self.down_blocks.2.downsamplers.0.conv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1631" name="__module.down_blocks.2.downsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25668,8 +25410,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1782" name="__module.down_blocks.2.downsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="190125020" size="5120" />
+		<layer id="1632" name="__module.down_blocks.2.downsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="190102220" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -25679,7 +25421,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1783" name="__module.down_blocks.2.downsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1633" name="__module.down_blocks.2.downsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25704,23 +25446,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1784" name="self.down_blocks.3.resnets.0.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="190130140" size="5120" />
+		<layer id="1634" name="self.down_blocks.3.resnets.0.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="190107340" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.3.resnets.0.norm1.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1785" name="self.down_blocks.3.resnets.0.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="190135260" size="5120" />
+		<layer id="1635" name="self.down_blocks.3.resnets.0.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="190112460" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.3.resnets.0.norm1.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1786" name="__module.down_blocks.3.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="1636" name="__module.down_blocks.3.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25745,7 +25487,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1787" name="__module.conv_act/aten::silu/Swish_19" type="Swish" version="opset4">
+		<layer id="1637" name="__module.conv_act/aten::silu/Swish_19" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -25763,76 +25505,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1788" name="__module.conv_act/aten::silu/Swish_19/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="190140380" size="4" />
+		<layer id="1638" name="self.down_blocks.3.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="190117580" size="14745600" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1789" name="__module.conv_act/aten::silu/Swish_19/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="190140384" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1790" name="__module.conv_act/aten::silu/Swish_19/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="190140380" size="4" />
+		<layer id="1639" name="Convert_116567" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1791" name="__module.conv_act/aten::silu/Swish_19/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="190140384" size="4" />
+		<layer id="1640" name="self.down_blocks.3.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="204863180" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1792" name="__module.conv_act/aten::silu/Swish_19/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1641" name="Convert_116570" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1793" name="Constant_1241719" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="190140388" size="14745600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="1642" name="self.down_blocks.3.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="1794" name="Convert_1241720" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -25840,10 +25590,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1795" name="Constant_1241721" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="204885988" size="5120" />
+		<layer id="1643" name="self.down_blocks.3.resnets.0.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="204864460" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -25851,16 +25601,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1796" name="__module.down_blocks.3.resnets.0.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1644" name="self.down_blocks.3.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -25868,7 +25618,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1645" name="self.down_blocks.3.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -25876,7 +25645,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1797" name="__module.down_blocks.3.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1646" name="__module.down_blocks.3.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25901,8 +25670,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1798" name="__module.down_blocks.3.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="204891108" size="5120" />
+		<layer id="1647" name="__module.down_blocks.3.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="204867020" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -25912,7 +25681,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1799" name="__module.down_blocks.3.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1648" name="__module.down_blocks.3.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25937,8 +25706,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1800" name="self.down_blocks.3.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="204896228" size="1638400" />
+		<layer id="1649" name="self.down_blocks.3.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="204872140" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -25946,7 +25715,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1801" name="Convert_229864" type="Convert" version="opset1">
+		<layer id="1650" name="Convert_117458" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -25961,8 +25730,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1802" name="self.down_blocks.3.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="206534628" size="1280" />
+		<layer id="1651" name="self.down_blocks.3.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="206510540" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -25970,7 +25739,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1803" name="Convert_229867" type="Convert" version="opset1">
+		<layer id="1652" name="Convert_117461" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -25985,7 +25754,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1804" name="self.down_blocks.3.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1653" name="self.down_blocks.3.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -26004,8 +25773,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1805" name="self.down_blocks.3.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="206535908" size="2560" />
+		<layer id="1654" name="self.down_blocks.3.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="206511820" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -26013,7 +25782,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1806" name="self.down_blocks.3.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1655" name="self.down_blocks.3.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -26032,7 +25801,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1807" name="self.down_blocks.3.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1656" name="self.down_blocks.3.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -26047,7 +25816,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1808" name="__module.down_blocks.3.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1657" name="__module.down_blocks.3.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26066,8 +25835,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1809" name="Constant_76998" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280" offset="206538468" size="5120" />
+		<layer id="1658" name="Constant_76998" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="206514380" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -26075,7 +25844,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1810" name="__module.down_blocks.3.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1659" name="__module.down_blocks.3.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26094,13 +25863,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1811" name="1450" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3419248" size="8" />
+		<layer id="1660" name="1450" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="3418592" size="8" />
 			<output>
 				<port id="0" precision="I64" names="1450" />
 			</output>
 		</layer>
-		<layer id="1812" name="__module.down_blocks.3.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1661" name="__module.down_blocks.3.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -26116,13 +25885,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1813" name="1451" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3419256" size="8" />
+		<layer id="1662" name="1451" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="3418600" size="8" />
 			<output>
 				<port id="0" precision="I64" names="1451" />
 			</output>
 		</layer>
-		<layer id="1814" name="__module.down_blocks.3.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1663" name="__module.down_blocks.3.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -26140,7 +25909,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1815" name="__module.down_blocks.3.resnets.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="1664" name="__module.down_blocks.3.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26165,23 +25934,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1816" name="self.down_blocks.3.resnets.0.norm2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="206543588" size="5120" />
+		<layer id="1665" name="self.down_blocks.3.resnets.0.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="206519500" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.3.resnets.0.norm2.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1817" name="self.down_blocks.3.resnets.0.norm2.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="206548708" size="5120" />
+		<layer id="1666" name="self.down_blocks.3.resnets.0.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="206524620" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.3.resnets.0.norm2.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1818" name="__module.down_blocks.3.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="1667" name="__module.down_blocks.3.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26206,7 +25975,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1819" name="__module.conv_act/aten::silu/Swish_21" type="Swish" version="opset4">
+		<layer id="1668" name="__module.conv_act/aten::silu/Swish_21" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -26224,76 +25993,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1820" name="__module.conv_act/aten::silu/Swish_21/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="1669" name="self.down_blocks.3.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="206529740" size="14745600" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1821" name="__module.conv_act/aten::silu/Swish_21/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="206553828" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1822" name="__module.conv_act/aten::silu/Swish_21/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="1670" name="Convert_116578" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1823" name="__module.conv_act/aten::silu/Swish_21/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="206553828" size="4" />
+		<layer id="1671" name="self.down_blocks.3.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="221275340" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1824" name="__module.conv_act/aten::silu/Swish_21/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1672" name="Convert_116581" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1825" name="Constant_1241723" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="206553832" size="14745600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="1673" name="self.down_blocks.3.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="1826" name="Convert_1241724" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -26301,10 +26078,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1827" name="Constant_1241725" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="221299432" size="5120" />
+		<layer id="1674" name="self.down_blocks.3.resnets.0.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="221276620" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -26312,16 +26089,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1828" name="__module.down_blocks.3.resnets.0.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1675" name="self.down_blocks.3.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -26329,7 +26106,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1676" name="self.down_blocks.3.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -26337,7 +26133,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1829" name="__module.down_blocks.3.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1677" name="__module.down_blocks.3.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26362,8 +26158,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1830" name="__module.down_blocks.3.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="221304552" size="5120" />
+		<layer id="1678" name="__module.down_blocks.3.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="221279180" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -26373,7 +26169,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1831" name="__module.down_blocks.3.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1679" name="__module.down_blocks.3.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26398,7 +26194,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1832" name="__module.down_blocks.3.resnets.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1680" name="__module.down_blocks.3.resnets.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26423,23 +26219,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1833" name="self.down_blocks.3.resnets.1.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="221309672" size="5120" />
+		<layer id="1681" name="self.down_blocks.3.resnets.1.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="221284300" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.3.resnets.1.norm1.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1834" name="self.down_blocks.3.resnets.1.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="221314792" size="5120" />
+		<layer id="1682" name="self.down_blocks.3.resnets.1.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="221289420" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.3.resnets.1.norm1.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1835" name="__module.down_blocks.3.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="1683" name="__module.down_blocks.3.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26464,7 +26260,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1836" name="__module.conv_act/aten::silu/Swish_22" type="Swish" version="opset4">
+		<layer id="1684" name="__module.conv_act/aten::silu/Swish_22" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -26482,76 +26278,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1837" name="__module.conv_act/aten::silu/Swish_22/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="1685" name="self.down_blocks.3.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="221294540" size="14745600" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1838" name="__module.conv_act/aten::silu/Swish_22/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="221319912" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1839" name="__module.conv_act/aten::silu/Swish_22/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="1686" name="Convert_116589" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1840" name="__module.conv_act/aten::silu/Swish_22/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="221319912" size="4" />
+		<layer id="1687" name="self.down_blocks.3.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="236040140" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1841" name="__module.conv_act/aten::silu/Swish_22/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1688" name="Convert_116592" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1842" name="Constant_1241727" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="221319916" size="14745600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="1689" name="self.down_blocks.3.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="1843" name="Convert_1241728" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -26559,10 +26363,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1844" name="Constant_1241729" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="236065516" size="5120" />
+		<layer id="1690" name="self.down_blocks.3.resnets.1.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="236041420" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -26570,16 +26374,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1845" name="__module.down_blocks.3.resnets.1.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1691" name="self.down_blocks.3.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -26587,7 +26391,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -26595,7 +26399,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1846" name="__module.down_blocks.3.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1692" name="self.down_blocks.3.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1693" name="__module.down_blocks.3.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26620,8 +26443,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1847" name="__module.down_blocks.3.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="236070636" size="5120" />
+		<layer id="1694" name="__module.down_blocks.3.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="236043980" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -26631,7 +26454,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1848" name="__module.down_blocks.3.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1695" name="__module.down_blocks.3.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26656,8 +26479,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1849" name="self.down_blocks.3.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="236075756" size="1638400" />
+		<layer id="1696" name="self.down_blocks.3.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="236049100" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -26665,7 +26488,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1850" name="Convert_229886" type="Convert" version="opset1">
+		<layer id="1697" name="Convert_117480" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -26680,8 +26503,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1851" name="self.down_blocks.3.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="237714156" size="1280" />
+		<layer id="1698" name="self.down_blocks.3.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="237687500" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -26689,7 +26512,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1852" name="Convert_229889" type="Convert" version="opset1">
+		<layer id="1699" name="Convert_117483" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -26704,7 +26527,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1853" name="self.down_blocks.3.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1700" name="self.down_blocks.3.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -26723,8 +26546,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1854" name="self.down_blocks.3.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="237715436" size="2560" />
+		<layer id="1701" name="self.down_blocks.3.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="237688780" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -26732,7 +26555,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1855" name="self.down_blocks.3.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1702" name="self.down_blocks.3.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -26751,7 +26574,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1856" name="self.down_blocks.3.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1703" name="self.down_blocks.3.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -26766,7 +26589,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1857" name="__module.down_blocks.3.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1704" name="__module.down_blocks.3.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26785,8 +26608,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1858" name="Constant_76999" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280" offset="237717996" size="5120" />
+		<layer id="1705" name="Constant_76999" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="237691340" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -26794,7 +26617,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1859" name="__module.down_blocks.3.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1706" name="__module.down_blocks.3.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26813,7 +26636,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1860" name="__module.down_blocks.3.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1707" name="__module.down_blocks.3.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -26829,7 +26652,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1861" name="__module.down_blocks.3.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1708" name="__module.down_blocks.3.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -26847,7 +26670,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1862" name="__module.down_blocks.3.resnets.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="1709" name="__module.down_blocks.3.resnets.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26872,23 +26695,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1863" name="self.down_blocks.3.resnets.1.norm2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="237723116" size="5120" />
+		<layer id="1710" name="self.down_blocks.3.resnets.1.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="237696460" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.3.resnets.1.norm2.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1864" name="self.down_blocks.3.resnets.1.norm2.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="237728236" size="5120" />
+		<layer id="1711" name="self.down_blocks.3.resnets.1.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="237701580" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.down_blocks.3.resnets.1.norm2.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1865" name="__module.down_blocks.3.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="1712" name="__module.down_blocks.3.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26913,7 +26736,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1866" name="__module.conv_act/aten::silu/Swish_24" type="Swish" version="opset4">
+		<layer id="1713" name="__module.conv_act/aten::silu/Swish_24" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -26931,76 +26754,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1867" name="__module.conv_act/aten::silu/Swish_24/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="1868" name="__module.conv_act/aten::silu/Swish_24/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="237733356" size="4" />
+		<layer id="1714" name="self.down_blocks.3.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="237706700" size="14745600" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1869" name="__module.conv_act/aten::silu/Swish_24/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="1715" name="Convert_116600" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1870" name="__module.conv_act/aten::silu/Swish_24/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="237733356" size="4" />
+		<layer id="1716" name="self.down_blocks.3.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="252452300" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="1871" name="__module.conv_act/aten::silu/Swish_24/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1717" name="Convert_116603" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1872" name="Constant_1241731" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="237733360" size="14745600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="1718" name="self.down_blocks.3.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="1873" name="Convert_1241732" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -27008,10 +26839,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1874" name="Constant_1241733" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="252478960" size="5120" />
+		<layer id="1719" name="self.down_blocks.3.resnets.1.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="252453580" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -27019,16 +26850,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1875" name="__module.down_blocks.3.resnets.1.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1720" name="self.down_blocks.3.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -27036,7 +26867,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1721" name="self.down_blocks.3.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -27044,7 +26894,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1876" name="__module.down_blocks.3.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1722" name="__module.down_blocks.3.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27069,8 +26919,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1877" name="__module.down_blocks.3.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="252484080" size="5120" />
+		<layer id="1723" name="__module.down_blocks.3.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="252456140" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -27080,7 +26930,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1878" name="__module.down_blocks.3.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1724" name="__module.down_blocks.3.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27105,7 +26955,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1879" name="__module.down_blocks.3.resnets.1/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1725" name="__module.down_blocks.3.resnets.1/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27130,23 +26980,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1880" name="self.mid_block.resnets.0.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="252489200" size="5120" />
+		<layer id="1726" name="self.mid_block.resnets.0.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="252461260" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.mid_block.resnets.0.norm1.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1881" name="self.mid_block.resnets.0.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="252494320" size="5120" />
+		<layer id="1727" name="self.mid_block.resnets.0.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="252466380" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.mid_block.resnets.0.norm1.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1882" name="__module.mid_block.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="1728" name="__module.mid_block.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27171,7 +27021,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1883" name="__module.conv_act/aten::silu/Swish_25" type="Swish" version="opset4">
+		<layer id="1729" name="__module.conv_act/aten::silu/Swish_25" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -27189,76 +27039,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1884" name="__module.conv_act/aten::silu/Swish_25/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="252499440" size="4" />
+		<layer id="1730" name="self.mid_block.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="252471500" size="14745600" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1885" name="__module.conv_act/aten::silu/Swish_25/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="252499444" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1886" name="__module.conv_act/aten::silu/Swish_25/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="252499440" size="4" />
+		<layer id="1731" name="Convert_116611" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1887" name="__module.conv_act/aten::silu/Swish_25/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="252499444" size="4" />
+		<layer id="1732" name="self.mid_block.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="267217100" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1888" name="__module.conv_act/aten::silu/Swish_25/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1733" name="Convert_116614" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1889" name="Constant_1241735" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="252499448" size="14745600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="1734" name="self.mid_block.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="1890" name="Convert_1241736" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -27266,10 +27124,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1891" name="Constant_1241737" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="267245048" size="5120" />
+		<layer id="1735" name="self.mid_block.resnets.0.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="267218380" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -27277,16 +27135,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1892" name="__module.mid_block.resnets.0.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1736" name="self.mid_block.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -27294,7 +27152,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -27302,7 +27160,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1893" name="__module.mid_block.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1737" name="self.mid_block.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1738" name="__module.mid_block.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27327,8 +27204,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1894" name="__module.mid_block.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="267250168" size="5120" />
+		<layer id="1739" name="__module.mid_block.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="267220940" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -27338,7 +27215,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1895" name="__module.mid_block.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1740" name="__module.mid_block.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27363,8 +27240,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1896" name="self.mid_block.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="267255288" size="1638400" />
+		<layer id="1741" name="self.mid_block.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="267226060" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -27372,7 +27249,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1897" name="Convert_229908" type="Convert" version="opset1">
+		<layer id="1742" name="Convert_117502" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -27387,8 +27264,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1898" name="self.mid_block.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="268893688" size="1280" />
+		<layer id="1743" name="self.mid_block.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="268864460" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -27396,7 +27273,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1899" name="Convert_229911" type="Convert" version="opset1">
+		<layer id="1744" name="Convert_117505" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -27411,7 +27288,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1900" name="self.mid_block.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1745" name="self.mid_block.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -27430,8 +27307,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1901" name="self.mid_block.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="268894968" size="2560" />
+		<layer id="1746" name="self.mid_block.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="268865740" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -27439,7 +27316,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1902" name="self.mid_block.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1747" name="self.mid_block.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -27458,7 +27335,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1903" name="self.mid_block.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1748" name="self.mid_block.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -27473,7 +27350,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1904" name="__module.mid_block.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1749" name="__module.mid_block.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27492,8 +27369,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1905" name="Constant_77000" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280" offset="268897528" size="5120" />
+		<layer id="1750" name="Constant_77000" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="268868300" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -27501,7 +27378,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1906" name="__module.mid_block.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1751" name="__module.mid_block.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27520,13 +27397,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1907" name="1555" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3419248" size="8" />
+		<layer id="1752" name="1555" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="3418592" size="8" />
 			<output>
 				<port id="0" precision="I64" names="1555" />
 			</output>
 		</layer>
-		<layer id="1908" name="__module.mid_block.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1753" name="__module.mid_block.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -27542,13 +27419,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1909" name="1556" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3419256" size="8" />
+		<layer id="1754" name="1556" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="3418600" size="8" />
 			<output>
 				<port id="0" precision="I64" names="1556" />
 			</output>
 		</layer>
-		<layer id="1910" name="__module.mid_block.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1755" name="__module.mid_block.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -27566,7 +27443,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1911" name="__module.mid_block.resnets.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="1756" name="__module.mid_block.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27591,23 +27468,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1912" name="self.mid_block.resnets.0.norm2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="268902648" size="5120" />
+		<layer id="1757" name="self.mid_block.resnets.0.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="268873420" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.mid_block.resnets.0.norm2.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1913" name="self.mid_block.resnets.0.norm2.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="268907768" size="5120" />
+		<layer id="1758" name="self.mid_block.resnets.0.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="268878540" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.mid_block.resnets.0.norm2.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1914" name="__module.mid_block.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="1759" name="__module.mid_block.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27632,7 +27509,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1915" name="__module.conv_act/aten::silu/Swish_27" type="Swish" version="opset4">
+		<layer id="1760" name="__module.conv_act/aten::silu/Swish_27" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -27650,76 +27527,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1916" name="__module.conv_act/aten::silu/Swish_27/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="268912888" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1917" name="__module.conv_act/aten::silu/Swish_27/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="268912892" size="4" />
+		<layer id="1761" name="self.mid_block.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="268883660" size="14745600" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1918" name="__module.conv_act/aten::silu/Swish_27/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="268912888" size="4" />
+		<layer id="1762" name="Convert_116622" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1919" name="__module.conv_act/aten::silu/Swish_27/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="268912892" size="4" />
+		<layer id="1763" name="self.mid_block.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="283629260" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1920" name="__module.conv_act/aten::silu/Swish_27/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1764" name="Convert_116625" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1921" name="Constant_1241739" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="268912896" size="14745600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="1765" name="self.mid_block.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="1922" name="Convert_1241740" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -27727,10 +27612,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1923" name="Constant_1241741" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="283658496" size="5120" />
+		<layer id="1766" name="self.mid_block.resnets.0.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="283630540" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -27738,16 +27623,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1924" name="__module.mid_block.resnets.0.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1767" name="self.mid_block.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -27755,7 +27640,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1768" name="self.mid_block.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -27763,7 +27667,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1925" name="__module.mid_block.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1769" name="__module.mid_block.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27788,8 +27692,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1926" name="__module.mid_block.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="283663616" size="5120" />
+		<layer id="1770" name="__module.mid_block.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="283633100" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -27799,7 +27703,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1927" name="__module.mid_block.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1771" name="__module.mid_block.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27824,7 +27728,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1928" name="__module.mid_block.resnets.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1772" name="__module.mid_block.resnets.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27849,23 +27753,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1929" name="self.mid_block.attentions.0.norm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="283668736" size="5120" />
+		<layer id="1773" name="self.mid_block.attentions.0.norm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="283638220" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.mid_block.attentions.0.norm.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1930" name="self.mid_block.attentions.0.norm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="283673856" size="5120" />
+		<layer id="1774" name="self.mid_block.attentions.0.norm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="283643340" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.mid_block.attentions.0.norm.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1931" name="__module.mid_block.attentions.0.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="1775" name="__module.mid_block.attentions.0.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27890,76 +27794,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1932" name="__module.mid_block.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="283678976" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1933" name="__module.mid_block.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="283678980" size="4" />
+		<layer id="1776" name="self.mid_block.attentions.0.proj_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 1, 1" offset="283648460" size="1638400" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1934" name="__module.mid_block.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="283678976" size="4" />
+		<layer id="1777" name="Convert_117513" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1935" name="__module.mid_block.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="283678980" size="4" />
+		<layer id="1778" name="self.mid_block.attentions.0.proj_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="285286860" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1936" name="__module.mid_block.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1779" name="Convert_117516" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
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-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
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-			<output>
-				<port id="0" precision="I8">
+		<layer id="1780" name="self.mid_block.attentions.0.proj_in.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
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 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
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-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
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 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -27967,10 +27879,10 @@
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 		</layer>
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-			<data element_type="f32" shape="1280, 1, 1, 1" offset="285317384" size="5120" />
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 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -27978,16 +27890,16 @@
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 		</layer>
-		<layer id="1940" name="__module.mid_block.attentions.0.proj_in/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1782" name="self.mid_block.attentions.0.proj_in.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
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 					<dim>1280</dim>
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 					<dim>1</dim>
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-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -27995,7 +27907,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1783" name="self.mid_block.attentions.0.proj_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -28003,7 +27934,7 @@
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 		</layer>
-		<layer id="1941" name="__module.mid_block.attentions.0.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1784" name="__module.mid_block.attentions.0.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28028,8 +27959,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1280, 1, 1" offset="285322504" size="5120" />
+		<layer id="1785" name="__module.mid_block.attentions.0.proj_in/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="285290700" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -28039,7 +27970,7 @@
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 			</output>
 		</layer>
-		<layer id="1943" name="__module.mid_block.attentions.0.proj_in/aten::_convolution/Add" type="Add" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28064,15 +27995,15 @@
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 			</output>
 		</layer>
-		<layer id="1944" name="Constant_24968" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4453520" size="32" />
+		<layer id="1787" name="Constant_24968" type="Const" version="opset1">
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 				<port id="0" precision="I64" names="1629">
 					<dim>4</dim>
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 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -28093,15 +28024,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="76019232" size="24" />
+		<layer id="1789" name="Constant_79911" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="76004212" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
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 		</layer>
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 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28122,15 +28053,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="1791" name="__module.mid_block.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 		</layer>
-		<layer id="1949" name="__module.mid_block.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1792" name="__module.mid_block.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28150,8 +28081,8 @@
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 		</layer>
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-			<data element_type="f32" shape="1, 1, 1280" offset="285327624" size="5120" />
+		<layer id="1793" name="Constant_77001" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="285295820" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -28160,7 +28091,7 @@
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 			</output>
 		</layer>
-		<layer id="1951" name="__module.mid_block.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1794" name="__module.mid_block.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28182,8 +28113,8 @@
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 		</layer>
-		<layer id="1952" name="Constant_77002" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="285332744" size="5120" />
+		<layer id="1795" name="Constant_77002" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="285300940" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -28192,7 +28123,7 @@
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 			</output>
 		</layer>
-		<layer id="1953" name="__module.mid_block.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1796" name="__module.mid_block.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28214,8 +28145,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="1280, 1280" offset="285337864" size="1638400" />
+		<layer id="1797" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="285306060" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -28223,7 +28154,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1955" name="Convert_229941" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -28238,8 +28169,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="1280, 1" offset="286976264" size="1280" />
+		<layer id="1799" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="286944460" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -28247,7 +28178,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1957" name="Convert_229944" type="Convert" version="opset1">
+		<layer id="1800" name="Convert_117549" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -28262,7 +28193,7 @@
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 		</layer>
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+		<layer id="1801" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -28281,8 +28212,8 @@
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 		</layer>
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-			<data element_type="f16" shape="1280, 1" offset="286977544" size="2560" />
+		<layer id="1802" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="286945740" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -28290,7 +28221,7 @@
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 		</layer>
-		<layer id="1960" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1803" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -28309,7 +28240,7 @@
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 		</layer>
-		<layer id="1961" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1804" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -28324,7 +28255,7 @@
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 		</layer>
-		<layer id="1962" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
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 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28345,60 +28276,15 @@
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-			<data element_type="f32" shape="" offset="286980108" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="1965" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="286980104" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="1966" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="286980108" size="4" />
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-				<port id="0" precision="FP32" />
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-				<port id="4" precision="FP32" />
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-					<dim>-1</dim>
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-		<layer id="1968" name="Constant_79912" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="1806" name="Constant_79912" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
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 				<port id="0" precision="I64">
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 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28419,15 +28305,15 @@
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="1808" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
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 				<port id="0" precision="I32">
 					<dim>4</dim>
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 		</layer>
-		<layer id="1971" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -28448,8 +28334,8 @@
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 		</layer>
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+		<layer id="1810" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="286948300" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -28457,7 +28343,7 @@
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 		</layer>
-		<layer id="1973" name="Convert_229930" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -28472,8 +28358,8 @@
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 			</output>
 		</layer>
-		<layer id="1974" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="288618512" size="1280" />
+		<layer id="1812" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="288586700" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -28481,7 +28367,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1975" name="Convert_229933" type="Convert" version="opset1">
+		<layer id="1813" name="Convert_117538" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -28496,7 +28382,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1976" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1814" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -28515,8 +28401,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1977" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="288619792" size="2560" />
+		<layer id="1815" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="288587980" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -28524,7 +28410,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1978" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1816" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -28543,7 +28429,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1979" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1817" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -28558,7 +28444,7 @@
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 			</output>
 		</layer>
-		<layer id="1980" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1818" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28579,60 +28465,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1981" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="288622352" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1982" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="288622356" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1983" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="288622352" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1984" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="288622356" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1985" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>1280</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1986" name="Constant_79913" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="1819" name="Constant_79913" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1987" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1820" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28653,15 +28494,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1988" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="1821" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1989" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1822" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -28682,8 +28523,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1990" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="288622360" size="1638400" />
+		<layer id="1823" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="288590540" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -28691,7 +28532,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1991" name="Convert_229919" type="Convert" version="opset1">
+		<layer id="1824" name="Convert_117524" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -28706,8 +28547,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1992" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="290260760" size="1280" />
+		<layer id="1825" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="290228940" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -28715,7 +28556,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1993" name="Convert_229922" type="Convert" version="opset1">
+		<layer id="1826" name="Convert_117527" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -28730,7 +28571,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1994" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1827" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -28749,8 +28590,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1995" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="290262040" size="2560" />
+		<layer id="1828" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="290230220" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -28758,7 +28599,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1996" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1829" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -28777,7 +28618,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1997" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1830" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -28792,7 +28633,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1998" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1831" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28813,15 +28654,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1999" name="Constant_79914" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="1832" name="Constant_79914" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2000" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1833" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28842,15 +28683,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2001" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="1834" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2002" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1835" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -28871,7 +28712,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2003" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="1836" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28902,15 +28743,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2004" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="1837" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2005" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1838" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -28931,15 +28772,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2006" name="Constant_79915" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="80956264" size="24" />
+		<layer id="1839" name="Constant_79915" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="80941228" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2007" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="1840" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28960,8 +28801,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2008" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="290264600" size="1638400" />
+		<layer id="1841" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="290232780" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -28969,7 +28810,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2009" name="Convert_229952" type="Convert" version="opset1">
+		<layer id="1842" name="Convert_117557" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -28984,8 +28825,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2010" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="291903000" size="1280" />
+		<layer id="1843" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="291871180" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -28993,7 +28834,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2011" name="Convert_229955" type="Convert" version="opset1">
+		<layer id="1844" name="Convert_117560" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -29008,7 +28849,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2012" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1845" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -29027,8 +28868,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2013" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="291904280" size="2560" />
+		<layer id="1846" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="291872460" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -29036,7 +28877,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2014" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1847" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -29055,7 +28896,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="1848" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -29070,7 +28911,7 @@
 				</port>
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 		</layer>
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+		<layer id="1849" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29091,8 +28932,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2017" name="Constant_77003" type="Const" version="opset1">
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+		<layer id="1850" name="Constant_77003" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="291875020" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -29101,7 +28942,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="1851" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29123,7 +28964,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2019" name="__module.mid_block.attentions.0.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="1852" name="__module.mid_block.attentions.0.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29145,15 +28986,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2020" name="__module.mid_block.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="1853" name="__module.mid_block.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2021" name="__module.mid_block.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1854" name="__module.mid_block.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29173,8 +29014,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2022" name="Constant_77004" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="291911960" size="5120" />
+		<layer id="1855" name="Constant_77004" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="291880140" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -29183,7 +29024,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2023" name="__module.mid_block.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1856" name="__module.mid_block.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29205,8 +29046,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2024" name="Constant_77005" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="291917080" size="5120" />
+		<layer id="1857" name="Constant_77005" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="291885260" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -29215,7 +29056,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2025" name="__module.mid_block.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1858" name="__module.mid_block.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29237,8 +29078,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2026" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="291922200" size="1638400" />
+		<layer id="1859" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="291890380" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -29246,7 +29087,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2027" name="Convert_229963" type="Convert" version="opset1">
+		<layer id="1860" name="Convert_117568" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -29261,8 +29102,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2028" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="293560600" size="1280" />
+		<layer id="1861" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="293528780" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -29270,7 +29111,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2029" name="Convert_229966" type="Convert" version="opset1">
+		<layer id="1862" name="Convert_117571" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -29285,7 +29126,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2030" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1863" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -29304,8 +29145,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2031" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="293561880" size="2560" />
+		<layer id="1864" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="293530060" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -29313,7 +29154,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2032" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1865" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -29332,7 +29173,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2033" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1866" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -29347,7 +29188,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2034" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1867" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29368,52 +29209,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2035" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="293564440" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2036" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="293564444" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2037" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="293564440" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2038" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="293564444" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="2039" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
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-		<layer id="2040" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="1868" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29434,15 +29230,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="1869" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2042" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
+		<layer id="1870" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -29463,8 +29259,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2043" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 768" offset="293564448" size="983040" />
+		<layer id="1871" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="293532620" size="983040" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -29472,7 +29268,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2044" name="Convert_230271" type="Convert" version="opset1">
+		<layer id="1872" name="Convert_117964" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -29487,8 +29283,8 @@
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 			</output>
 		</layer>
-		<layer id="2045" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="294547488" size="1280" />
+		<layer id="1873" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="294515660" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -29496,7 +29292,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2046" name="Convert_230274" type="Convert" version="opset1">
+		<layer id="1874" name="Convert_117967" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -29511,7 +29307,7 @@
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 			</output>
 		</layer>
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+		<layer id="1875" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -29530,8 +29326,8 @@
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 			</output>
 		</layer>
-		<layer id="2048" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="294548768" size="2560" />
+		<layer id="1876" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="294516940" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -29539,7 +29335,7 @@
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 			</output>
 		</layer>
-		<layer id="2049" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1877" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -29558,7 +29354,7 @@
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 			</output>
 		</layer>
-		<layer id="2050" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1878" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -29573,7 +29369,7 @@
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 			</output>
 		</layer>
-		<layer id="2051" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
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 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29594,60 +29390,15 @@
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 			</output>
 		</layer>
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-				<port id="0" precision="FP32" />
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-			<output>
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-		<layer id="2054" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
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-				<port id="0" precision="FP32" />
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-		<layer id="2055" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" />
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-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="1880" name="Constant_79916" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
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 		</layer>
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+		<layer id="1881" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -29668,15 +29419,15 @@
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="1882" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
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-		<layer id="2060" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1883" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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@@ -29697,8 +29448,8 @@
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 		</layer>
-		<layer id="2061" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 768" offset="294551336" size="983040" />
+		<layer id="1884" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="294519500" size="983040" />
 			<output>
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@@ -29706,7 +29457,7 @@
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 			</output>
 		</layer>
-		<layer id="2062" name="Convert_230260" type="Convert" version="opset1">
+		<layer id="1885" name="Convert_117953" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -29721,8 +29472,8 @@
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-		<layer id="2063" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="295534376" size="1280" />
+		<layer id="1886" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="295502540" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -29730,7 +29481,7 @@
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 			</output>
 		</layer>
-		<layer id="2064" name="Convert_230263" type="Convert" version="opset1">
+		<layer id="1887" name="Convert_117956" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -29745,7 +29496,7 @@
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+		<layer id="1888" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -29764,8 +29515,8 @@
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-		<layer id="2066" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="295535656" size="2560" />
+		<layer id="1889" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="295503820" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -29773,7 +29524,7 @@
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-		<layer id="2067" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1890" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -29792,7 +29543,7 @@
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-		<layer id="2068" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1891" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -29807,7 +29558,7 @@
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+		<layer id="1892" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -29828,15 +29579,15 @@
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-		<layer id="2070" name="Constant_79917" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="1893" name="Constant_79917" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
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+		<layer id="1894" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
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@@ -29857,15 +29608,15 @@
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="1895" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
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-		<layer id="2073" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1896" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -29886,7 +29637,7 @@
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+		<layer id="1897" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29917,15 +29668,15 @@
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-		<layer id="2075" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="1898" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
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 				<port id="0" precision="I32">
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+		<layer id="1899" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -29946,15 +29697,15 @@
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-		<layer id="2077" name="Constant_79918" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="80956264" size="24" />
+		<layer id="1900" name="Constant_79918" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="80941228" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
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-		<layer id="2078" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="1901" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29975,8 +29726,8 @@
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 			</output>
 		</layer>
-		<layer id="2079" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="295538216" size="1638400" />
+		<layer id="1902" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="295506380" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -29984,7 +29735,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2080" name="Convert_229974" type="Convert" version="opset1">
+		<layer id="1903" name="Convert_117579" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -29999,8 +29750,8 @@
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-		<layer id="2081" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="297176616" size="1280" />
+		<layer id="1904" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="297144780" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -30008,7 +29759,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2082" name="Convert_229977" type="Convert" version="opset1">
+		<layer id="1905" name="Convert_117582" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -30023,7 +29774,7 @@
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 		</layer>
-		<layer id="2083" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1906" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -30042,8 +29793,8 @@
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 			</output>
 		</layer>
-		<layer id="2084" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="297177896" size="2560" />
+		<layer id="1907" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="297146060" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -30051,7 +29802,7 @@
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 			</output>
 		</layer>
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+		<layer id="1908" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -30070,7 +29821,7 @@
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 		</layer>
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+		<layer id="1909" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -30085,7 +29836,7 @@
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 		</layer>
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+		<layer id="1910" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30106,8 +29857,8 @@
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 		</layer>
-		<layer id="2088" name="Constant_77006" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="297180456" size="5120" />
+		<layer id="1911" name="Constant_77006" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="297148620" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -30116,7 +29867,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30138,7 +29889,7 @@
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 			</output>
 		</layer>
-		<layer id="2090" name="__module.mid_block.attentions.0.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30160,15 +29911,15 @@
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="1914" name="__module.mid_block.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
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-		<layer id="2092" name="__module.mid_block.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1915" name="__module.mid_block.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30188,8 +29939,8 @@
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-		<layer id="2093" name="Constant_77007" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="297185576" size="5120" />
+		<layer id="1916" name="Constant_77007" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="297153740" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -30198,7 +29949,7 @@
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 		</layer>
-		<layer id="2094" name="__module.mid_block.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1917" name="__module.mid_block.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30220,8 +29971,8 @@
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-		<layer id="2095" name="Constant_77008" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="297190696" size="5120" />
+		<layer id="1918" name="Constant_77008" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="297158860" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -30230,7 +29981,7 @@
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+		<layer id="1919" name="__module.mid_block.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30252,8 +30003,8 @@
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 		</layer>
-		<layer id="2097" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1280" offset="297195816" size="13107200" />
+		<layer id="1920" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1280" offset="297163980" size="13107200" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -30261,7 +30012,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2098" name="Convert_229457" type="Convert" version="opset1">
+		<layer id="1921" name="Convert_116765" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -30276,8 +30027,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2099" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="310303016" size="10240" />
+		<layer id="1922" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="310271180" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -30285,7 +30036,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2100" name="Convert_229460" type="Convert" version="opset1">
+		<layer id="1923" name="Convert_116768" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -30300,7 +30051,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2101" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1924" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -30319,8 +30070,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2102" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="310313256" size="20480" />
+		<layer id="1925" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="310281420" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -30328,7 +30079,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2103" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1926" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -30347,7 +30098,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2104" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1927" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -30362,7 +30113,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2105" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1928" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30383,8 +30134,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2106" name="Constant_77009" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="310333736" size="40960" />
+		<layer id="1929" name="Constant_77009" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 10240" offset="310301900" size="40960" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -30393,7 +30144,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2107" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1930" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30415,13 +30166,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2108" name="1543" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4976876" size="8" />
+		<layer id="1931" name="1543" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4975540" size="8" />
 			<output>
 				<port id="0" precision="I64" names="1543" />
 			</output>
 		</layer>
-		<layer id="2109" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="1932" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30436,15 +30187,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2110" name="Constant_45039" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="6414668" size="4" />
+		<layer id="1933" name="Constant_45039" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="6413324" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2111" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
+		<layer id="1934" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -30459,13 +30210,13 @@
 				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="2112" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="6414672" size="4" />
+		<layer id="1935" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="6413328" size="4" />
 			<output>
 				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="2113" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
+		<layer id="1936" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="I32" />
@@ -30475,7 +30226,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="2114" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+		<layer id="1937" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -30485,7 +30236,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="2115" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+		<layer id="1938" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -30499,7 +30250,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2116" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+		<layer id="1939" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="BOOL">
@@ -30512,7 +30263,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2117" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+		<layer id="1940" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -30526,15 +30277,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2118" name="Constant_45040" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="1941" name="Constant_45040" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2119" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+		<layer id="1942" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -30550,7 +30301,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2120" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+		<layer id="1943" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -30575,7 +30326,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2121" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="1944" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30592,7 +30343,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2122" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="1945" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30614,8 +30365,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2123" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 5120" offset="310374696" size="6553600" />
+		<layer id="1946" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 5120" offset="310342860" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -30623,7 +30374,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2124" name="Convert_229523" type="Convert" version="opset1">
+		<layer id="1947" name="Convert_116864" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -30638,8 +30389,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2125" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="316928296" size="1280" />
+		<layer id="1948" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="316896460" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -30647,7 +30398,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2126" name="Convert_229526" type="Convert" version="opset1">
+		<layer id="1949" name="Convert_116867" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -30662,7 +30413,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2127" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1950" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -30681,8 +30432,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2128" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="316929576" size="2560" />
+		<layer id="1951" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="316897740" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -30690,7 +30441,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2129" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1952" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -30709,7 +30460,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2130" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1953" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -30724,7 +30475,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2131" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1954" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30745,8 +30496,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2132" name="Constant_77010" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="316932136" size="5120" />
+		<layer id="1955" name="Constant_77010" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="316900300" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -30755,7 +30506,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2133" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1956" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30777,7 +30528,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2134" name="__module.mid_block.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="1957" name="__module.mid_block.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30799,52 +30550,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2135" name="__module.mid_block.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="316937256" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2136" name="__module.mid_block.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="316937260" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2137" name="__module.mid_block.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="316937256" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2138" name="__module.mid_block.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="316937260" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2139" name="__module.mid_block.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
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-					<dim>-1</dim>
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-		</layer>
-		<layer id="2140" name="__module.mid_block.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="1958" name="__module.mid_block.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
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@@ -30860,21 +30566,21 @@
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-		<layer id="2141" name="Constant_73205" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="6826524" size="24" />
+		<layer id="1959" name="Constant_73205" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="6825172" size="24" />
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 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="2142" name="Constant_73206" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="940816" size="8" />
+		<layer id="1960" name="Constant_73206" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="940160" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2143" name="Gather_73207" type="Gather" version="opset8">
+		<layer id="1961" name="Gather_73207" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -30891,15 +30597,15 @@
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 			</output>
 		</layer>
-		<layer id="2144" name="Constant_26265" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="107628952" size="8" />
+		<layer id="1962" name="Constant_26265" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="107613892" size="8" />
 			<output>
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 			</output>
 		</layer>
-		<layer id="2145" name="__module.mid_block.attentions.0/prim::ListConstruct_1" type="Concat" version="opset1">
+		<layer id="1963" name="__module.mid_block.attentions.0/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -30915,7 +30621,7 @@
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 			</output>
 		</layer>
-		<layer id="2146" name="__module.mid_block.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1964" name="__module.mid_block.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30936,15 +30642,15 @@
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 			</output>
 		</layer>
-		<layer id="2147" name="Constant_26274" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="6826556" size="32" />
+		<layer id="1965" name="Constant_26274" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="6825204" size="32" />
 			<output>
 				<port id="0" precision="I64" names="1753">
 					<dim>4</dim>
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 			</output>
 		</layer>
-		<layer id="2148" name="__module.mid_block.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1966" name="__module.mid_block.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -30965,10 +30671,10 @@
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 			</output>
 		</layer>
-		<layer id="2149" name="Constant_1241747" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 1, 1" offset="316937264" size="1638400" />
+		<layer id="1967" name="self.mid_block.attentions.0.proj_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 1, 1" offset="316905420" size="1638400" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -30976,10 +30682,10 @@
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 			</output>
 		</layer>
-		<layer id="2150" name="Convert_1241748" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="1968" name="Convert_117590" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -30987,7 +30693,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -30995,10 +30701,29 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2151" name="Constant_1241749" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="318575664" size="5120" />
+		<layer id="1969" name="self.mid_block.attentions.0.proj_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="318543820" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1970" name="Convert_117593" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -31006,16 +30731,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2152" name="__module.mid_block.attentions.0.proj_out/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1971" name="self.mid_block.attentions.0.proj_out.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -31023,7 +30748,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1972" name="self.mid_block.attentions.0.proj_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="318545100" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1973" name="self.mid_block.attentions.0.proj_out.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -31031,7 +30792,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2153" name="__module.mid_block.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1974" name="self.mid_block.attentions.0.proj_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1975" name="__module.mid_block.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31056,8 +30836,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2154" name="__module.mid_block.attentions.0.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="318580784" size="5120" />
+		<layer id="1976" name="__module.mid_block.attentions.0.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="318547660" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -31067,7 +30847,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2155" name="__module.mid_block.attentions.0.proj_out/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1977" name="__module.mid_block.attentions.0.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31092,7 +30872,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2156" name="__module.mid_block.attentions.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="1978" name="__module.mid_block.attentions.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31117,23 +30897,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2157" name="self.mid_block.resnets.1.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="318585904" size="5120" />
+		<layer id="1979" name="self.mid_block.resnets.1.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="318552780" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.mid_block.resnets.1.norm1.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2158" name="self.mid_block.resnets.1.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="318591024" size="5120" />
+		<layer id="1980" name="self.mid_block.resnets.1.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="318557900" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.mid_block.resnets.1.norm1.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2159" name="__module.mid_block.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="1981" name="__module.mid_block.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31158,7 +30938,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2160" name="__module.conv_act/aten::silu/Swish_28" type="Swish" version="opset4">
+		<layer id="1982" name="__module.conv_act/aten::silu/Swish_28" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -31176,76 +30956,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2161" name="__module.conv_act/aten::silu/Swish_28/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2162" name="__module.conv_act/aten::silu/Swish_28/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="318596144" size="4" />
+		<layer id="1983" name="self.mid_block.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="318563020" size="14745600" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2163" name="__module.conv_act/aten::silu/Swish_28/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="1984" name="Convert_116633" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2164" name="__module.conv_act/aten::silu/Swish_28/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="318596144" size="4" />
+		<layer id="1985" name="self.mid_block.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="333308620" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2165" name="__module.conv_act/aten::silu/Swish_28/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1986" name="Convert_116636" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2166" name="Constant_1241751" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="318596148" size="14745600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="1987" name="self.mid_block.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
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-		<layer id="2167" name="Convert_1241752" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -31253,10 +31041,10 @@
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 			</output>
 		</layer>
-		<layer id="2168" name="Constant_1241753" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="333341748" size="5120" />
+		<layer id="1988" name="self.mid_block.resnets.1.conv1.weight/scale" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="FP32">
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 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -31264,16 +31052,16 @@
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 			</output>
 		</layer>
-		<layer id="2169" name="__module.mid_block.resnets.1.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1989" name="self.mid_block.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -31281,7 +31069,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1990" name="self.mid_block.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -31289,7 +31096,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2170" name="__module.mid_block.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1991" name="__module.mid_block.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31314,8 +31121,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2171" name="__module.mid_block.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="333346868" size="5120" />
+		<layer id="1992" name="__module.mid_block.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="333312460" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -31325,7 +31132,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2172" name="__module.mid_block.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1993" name="__module.mid_block.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31350,8 +31157,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2173" name="self.mid_block.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="333351988" size="1638400" />
+		<layer id="1994" name="self.mid_block.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="333317580" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -31359,7 +31166,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2174" name="Convert_229897" type="Convert" version="opset1">
+		<layer id="1995" name="Convert_117491" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -31374,8 +31181,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2175" name="self.mid_block.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="334990388" size="1280" />
+		<layer id="1996" name="self.mid_block.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="334955980" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -31383,7 +31190,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2176" name="Convert_229900" type="Convert" version="opset1">
+		<layer id="1997" name="Convert_117494" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -31398,7 +31205,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2177" name="self.mid_block.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1998" name="self.mid_block.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -31417,8 +31224,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2178" name="self.mid_block.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="334991668" size="2560" />
+		<layer id="1999" name="self.mid_block.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="334957260" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -31426,7 +31233,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2179" name="self.mid_block.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2000" name="self.mid_block.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -31445,7 +31252,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2180" name="self.mid_block.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2001" name="self.mid_block.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -31460,7 +31267,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2181" name="__module.mid_block.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2002" name="__module.mid_block.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31479,8 +31286,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2182" name="Constant_77011" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280" offset="334994228" size="5120" />
+		<layer id="2003" name="Constant_77011" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="334959820" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -31488,7 +31295,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2183" name="__module.mid_block.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2004" name="__module.mid_block.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31507,7 +31314,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2184" name="__module.mid_block.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="2005" name="__module.mid_block.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -31523,7 +31330,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2185" name="__module.mid_block.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2006" name="__module.mid_block.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -31541,7 +31348,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2186" name="__module.mid_block.resnets.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="2007" name="__module.mid_block.resnets.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31566,23 +31373,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2187" name="self.mid_block.resnets.1.norm2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="334999348" size="5120" />
+		<layer id="2008" name="self.mid_block.resnets.1.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="334964940" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.mid_block.resnets.1.norm2.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2188" name="self.mid_block.resnets.1.norm2.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="335004468" size="5120" />
+		<layer id="2009" name="self.mid_block.resnets.1.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="334970060" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.mid_block.resnets.1.norm2.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2189" name="__module.mid_block.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="2010" name="__module.mid_block.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31607,7 +31414,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2190" name="__module.conv_act/aten::silu/Swish_30" type="Swish" version="opset4">
+		<layer id="2011" name="__module.conv_act/aten::silu/Swish_30" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -31625,76 +31432,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2191" name="__module.conv_act/aten::silu/Swish_30/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="335009588" size="4" />
+		<layer id="2012" name="self.mid_block.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="334975180" size="14745600" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2192" name="__module.conv_act/aten::silu/Swish_30/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="335009592" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2193" name="__module.conv_act/aten::silu/Swish_30/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="335009588" size="4" />
+		<layer id="2013" name="Convert_116644" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2194" name="__module.conv_act/aten::silu/Swish_30/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="335009592" size="4" />
+		<layer id="2014" name="self.mid_block.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="349720780" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2195" name="__module.conv_act/aten::silu/Swish_30/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2015" name="Convert_116647" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2196" name="Constant_1241755" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="335009596" size="14745600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="2016" name="self.mid_block.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2197" name="Convert_1241756" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -31702,10 +31517,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2198" name="Constant_1241757" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="349755196" size="5120" />
+		<layer id="2017" name="self.mid_block.resnets.1.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="349722060" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -31713,16 +31528,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2199" name="__module.mid_block.resnets.1.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2018" name="self.mid_block.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -31730,7 +31545,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2019" name="self.mid_block.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -31738,7 +31572,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2200" name="__module.mid_block.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2020" name="__module.mid_block.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31763,8 +31597,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2201" name="__module.mid_block.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="349760316" size="5120" />
+		<layer id="2021" name="__module.mid_block.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="349724620" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -31774,7 +31608,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2202" name="__module.mid_block.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2022" name="__module.mid_block.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31799,7 +31633,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2203" name="__module.mid_block.resnets.1/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2023" name="__module.mid_block.resnets.1/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31824,7 +31658,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2204" name="__module.up_blocks.0/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="2024" name="__module.up_blocks.0/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31849,76 +31683,84 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="349765436" size="4" />
+		<layer id="2025" name="self.up_blocks.0.resnets.0.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 2560, 1, 1" offset="349729740" size="3276800" />
 			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="2206" name="__module.up_blocks.0.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="349765440" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="2207" name="__module.up_blocks.0.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="349765436" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="2208" name="__module.up_blocks.0.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="349765440" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2209" name="__module.up_blocks.0.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2026" name="Convert_117029" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
 					<dim>2560</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
 					<dim>2560</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2210" name="Constant_1241759" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 2560, 1, 1" offset="349765444" size="3276800" />
+		<layer id="2027" name="self.up_blocks.0.resnets.0.conv_shortcut.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="353006540" size="1280" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>2560</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2211" name="Convert_1241760" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2028" name="Convert_117032" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2029" name="self.up_blocks.0.resnets.0.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
@@ -31926,10 +31768,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2212" name="Constant_1241761" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="353042244" size="5120" />
+		<layer id="2030" name="self.up_blocks.0.resnets.0.conv_shortcut.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="353007820" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -31937,16 +31779,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2213" name="__module.up_blocks.0.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2031" name="self.up_blocks.0.resnets.0.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -31954,7 +31796,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2032" name="self.up_blocks.0.resnets.0.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
@@ -31962,7 +31823,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2214" name="__module.up_blocks.0.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2033" name="__module.up_blocks.0.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31987,8 +31848,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2215" name="__module.up_blocks.0.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="353047364" size="5120" />
+		<layer id="2034" name="__module.up_blocks.0.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="353010380" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -31998,7 +31859,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2216" name="__module.up_blocks.0.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2035" name="__module.up_blocks.0.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32023,23 +31884,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2217" name="self.up_blocks.0.resnets.0.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="2560" offset="353052484" size="10240" />
+		<layer id="2036" name="self.up_blocks.0.resnets.0.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="2560" offset="353015500" size="10240" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.0.resnets.0.norm1.weight">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2218" name="self.up_blocks.0.resnets.0.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="2560" offset="353062724" size="10240" />
+		<layer id="2037" name="self.up_blocks.0.resnets.0.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="2560" offset="353025740" size="10240" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.0.resnets.0.norm1.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2219" name="__module.up_blocks.0.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="2038" name="__module.up_blocks.0.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32064,7 +31925,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2220" name="__module.conv_act/aten::silu/Swish_31" type="Swish" version="opset4">
+		<layer id="2039" name="__module.conv_act/aten::silu/Swish_31" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -32082,76 +31943,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2221" name="__module.conv_act/aten::silu/Swish_31/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2222" name="__module.conv_act/aten::silu/Swish_31/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="237733356" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2223" name="__module.conv_act/aten::silu/Swish_31/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2224" name="__module.conv_act/aten::silu/Swish_31/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="237733356" size="4" />
+		<layer id="2040" name="self.up_blocks.0.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 2560, 3, 3" offset="353035980" size="29491200" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2225" name="__module.conv_act/aten::silu/Swish_31/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2041" name="Convert_116457" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
 					<dim>2560</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
 					<dim>2560</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2226" name="Constant_1241763" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 2560, 3, 3" offset="353072964" size="29491200" />
+		<layer id="2042" name="self.up_blocks.0.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="382527180" size="1280" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>2560</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2227" name="Convert_1241764" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2043" name="Convert_116460" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2044" name="self.up_blocks.0.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
@@ -32159,10 +32028,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2228" name="Constant_1241765" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="382564164" size="5120" />
+		<layer id="2045" name="self.up_blocks.0.resnets.0.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="382528460" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -32170,16 +32039,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2229" name="__module.up_blocks.0.resnets.0.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2046" name="self.up_blocks.0.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -32187,7 +32056,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2047" name="self.up_blocks.0.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
@@ -32195,7 +32083,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2230" name="__module.up_blocks.0.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2048" name="__module.up_blocks.0.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32220,8 +32108,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2231" name="__module.up_blocks.0.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="382569284" size="5120" />
+		<layer id="2049" name="__module.up_blocks.0.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="382531020" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -32231,7 +32119,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2232" name="__module.up_blocks.0.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2050" name="__module.up_blocks.0.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32256,8 +32144,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2233" name="self.up_blocks.0.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="382574404" size="1638400" />
+		<layer id="2051" name="self.up_blocks.0.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="382536140" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -32265,7 +32153,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2234" name="Convert_229875" type="Convert" version="opset1">
+		<layer id="2052" name="Convert_117469" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -32280,8 +32168,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2235" name="self.up_blocks.0.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="384212804" size="1280" />
+		<layer id="2053" name="self.up_blocks.0.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="384174540" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -32289,7 +32177,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2236" name="Convert_229878" type="Convert" version="opset1">
+		<layer id="2054" name="Convert_117472" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -32304,7 +32192,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2237" name="self.up_blocks.0.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2055" name="self.up_blocks.0.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -32323,8 +32211,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2238" name="self.up_blocks.0.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="384214084" size="2560" />
+		<layer id="2056" name="self.up_blocks.0.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="384175820" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -32332,7 +32220,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2239" name="self.up_blocks.0.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2057" name="self.up_blocks.0.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -32351,7 +32239,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2240" name="self.up_blocks.0.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2058" name="self.up_blocks.0.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -32366,7 +32254,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2241" name="__module.up_blocks.0.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2059" name="__module.up_blocks.0.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32385,8 +32273,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2242" name="Constant_77012" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280" offset="384216644" size="5120" />
+		<layer id="2060" name="Constant_77012" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="384178380" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -32394,7 +32282,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2243" name="__module.up_blocks.0.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2061" name="__module.up_blocks.0.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32413,13 +32301,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2244" name="1812" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3419248" size="8" />
+		<layer id="2062" name="1812" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="3418592" size="8" />
 			<output>
 				<port id="0" precision="I64" names="1812" />
 			</output>
 		</layer>
-		<layer id="2245" name="__module.up_blocks.0.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="2063" name="__module.up_blocks.0.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -32435,13 +32323,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2246" name="1813" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3419256" size="8" />
+		<layer id="2064" name="1813" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="3418600" size="8" />
 			<output>
 				<port id="0" precision="I64" names="1813" />
 			</output>
 		</layer>
-		<layer id="2247" name="__module.up_blocks.0.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2065" name="__module.up_blocks.0.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -32459,7 +32347,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2248" name="__module.up_blocks.0.resnets.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="2066" name="__module.up_blocks.0.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32484,23 +32372,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2249" name="self.up_blocks.0.resnets.0.norm2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="384221764" size="5120" />
+		<layer id="2067" name="self.up_blocks.0.resnets.0.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="384183500" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.0.resnets.0.norm2.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2250" name="self.up_blocks.0.resnets.0.norm2.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="384226884" size="5120" />
+		<layer id="2068" name="self.up_blocks.0.resnets.0.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="384188620" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.0.resnets.0.norm2.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2251" name="__module.up_blocks.0.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="2069" name="__module.up_blocks.0.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32525,7 +32413,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2252" name="__module.conv_act/aten::silu/Swish_33" type="Swish" version="opset4">
+		<layer id="2070" name="__module.conv_act/aten::silu/Swish_33" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -32543,76 +32431,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2253" name="__module.conv_act/aten::silu/Swish_33/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="384232004" size="4" />
+		<layer id="2071" name="self.up_blocks.0.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="384193740" size="14745600" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2254" name="__module.conv_act/aten::silu/Swish_33/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="384232008" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2255" name="__module.conv_act/aten::silu/Swish_33/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="384232004" size="4" />
+		<layer id="2072" name="Convert_116655" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2256" name="__module.conv_act/aten::silu/Swish_33/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="384232008" size="4" />
+		<layer id="2073" name="self.up_blocks.0.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="398939340" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2257" name="__module.conv_act/aten::silu/Swish_33/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2074" name="Convert_116658" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2258" name="Constant_1241767" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="384232012" size="14745600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="2075" name="self.up_blocks.0.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2259" name="Convert_1241768" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -32620,10 +32516,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2260" name="Constant_1241769" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="398977612" size="5120" />
+		<layer id="2076" name="self.up_blocks.0.resnets.0.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="398940620" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -32631,16 +32527,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2261" name="__module.up_blocks.0.resnets.0.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2077" name="self.up_blocks.0.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -32648,7 +32544,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2078" name="self.up_blocks.0.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -32656,7 +32571,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2262" name="__module.up_blocks.0.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2079" name="__module.up_blocks.0.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32681,8 +32596,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2263" name="__module.up_blocks.0.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="398982732" size="5120" />
+		<layer id="2080" name="__module.up_blocks.0.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="398943180" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -32692,7 +32607,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2264" name="__module.up_blocks.0.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2081" name="__module.up_blocks.0.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32717,7 +32632,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2265" name="__module.up_blocks.0.resnets.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2082" name="__module.up_blocks.0.resnets.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32742,7 +32657,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2266" name="__module.up_blocks.0/aten::cat/Concat_1" type="Concat" version="opset1">
+		<layer id="2083" name="__module.up_blocks.0/aten::cat/Concat_1" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32767,76 +32682,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2267" name="__module.up_blocks.0.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="398987852" size="4" />
+		<layer id="2084" name="self.up_blocks.0.resnets.1.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 2560, 1, 1" offset="398948300" size="3276800" />
 			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="2268" name="__module.up_blocks.0.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="398987856" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="2269" name="__module.up_blocks.0.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="398987852" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-			<data element_type="f32" shape="" offset="398987856" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2271" name="__module.up_blocks.0.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2085" name="Convert_117040" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
 					<dim>2560</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
 					<dim>2560</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2272" name="Constant_1241771" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 2560, 1, 1" offset="398987860" size="3276800" />
+		<layer id="2086" name="self.up_blocks.0.resnets.1.conv_shortcut.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="402225100" size="1280" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>2560</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2273" name="Convert_1241772" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2087" name="Convert_117043" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2088" name="self.up_blocks.0.resnets.1.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
@@ -32844,10 +32767,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2274" name="Constant_1241773" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="402264660" size="5120" />
+		<layer id="2089" name="self.up_blocks.0.resnets.1.conv_shortcut.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="402226380" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -32855,16 +32778,16 @@
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 			</output>
 		</layer>
-		<layer id="2275" name="__module.up_blocks.0.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2090" name="self.up_blocks.0.resnets.1.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -32872,7 +32795,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2091" name="self.up_blocks.0.resnets.1.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
@@ -32880,7 +32822,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2276" name="__module.up_blocks.0.resnets.1.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2092" name="__module.up_blocks.0.resnets.1.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32905,8 +32847,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2277" name="__module.up_blocks.0.resnets.1.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="402269780" size="5120" />
+		<layer id="2093" name="__module.up_blocks.0.resnets.1.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="402228940" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -32916,7 +32858,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2278" name="__module.up_blocks.0.resnets.1.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2094" name="__module.up_blocks.0.resnets.1.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32941,23 +32883,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2279" name="self.up_blocks.0.resnets.1.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="2560" offset="402274900" size="10240" />
+		<layer id="2095" name="self.up_blocks.0.resnets.1.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="2560" offset="402234060" size="10240" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.0.resnets.1.norm1.weight">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2280" name="self.up_blocks.0.resnets.1.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="2560" offset="402285140" size="10240" />
+		<layer id="2096" name="self.up_blocks.0.resnets.1.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="2560" offset="402244300" size="10240" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.0.resnets.1.norm1.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2281" name="__module.up_blocks.0.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="2097" name="__module.up_blocks.0.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32982,7 +32924,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2282" name="__module.conv_act/aten::silu/Swish_34" type="Swish" version="opset4">
+		<layer id="2098" name="__module.conv_act/aten::silu/Swish_34" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -33000,76 +32942,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2283" name="__module.conv_act/aten::silu/Swish_34/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2284" name="__module.conv_act/aten::silu/Swish_34/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="402295380" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2285" name="__module.conv_act/aten::silu/Swish_34/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2286" name="__module.conv_act/aten::silu/Swish_34/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="402295380" size="4" />
+		<layer id="2099" name="self.up_blocks.0.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 2560, 3, 3" offset="402254540" size="29491200" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2287" name="__module.conv_act/aten::silu/Swish_34/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2100" name="Convert_116468" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
 					<dim>2560</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
 					<dim>2560</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2288" name="Constant_1241775" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 2560, 3, 3" offset="402295384" size="29491200" />
+		<layer id="2101" name="self.up_blocks.0.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="431745740" size="1280" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>2560</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2289" name="Convert_1241776" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2102" name="Convert_116471" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2103" name="self.up_blocks.0.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
@@ -33077,10 +33027,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2290" name="Constant_1241777" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="431786584" size="5120" />
+		<layer id="2104" name="self.up_blocks.0.resnets.1.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="431747020" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -33088,16 +33038,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2291" name="__module.up_blocks.0.resnets.1.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2105" name="self.up_blocks.0.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -33105,7 +33055,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2106" name="self.up_blocks.0.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
@@ -33113,7 +33082,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2292" name="__module.up_blocks.0.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2107" name="__module.up_blocks.0.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33138,8 +33107,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2293" name="__module.up_blocks.0.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="431791704" size="5120" />
+		<layer id="2108" name="__module.up_blocks.0.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="431749580" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -33149,7 +33118,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2294" name="__module.up_blocks.0.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2109" name="__module.up_blocks.0.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33174,8 +33143,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2295" name="self.up_blocks.0.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="431796824" size="1638400" />
+		<layer id="2110" name="self.up_blocks.0.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="431754700" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -33183,7 +33152,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2296" name="Convert_229853" type="Convert" version="opset1">
+		<layer id="2111" name="Convert_117447" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -33198,8 +33167,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2297" name="self.up_blocks.0.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="433435224" size="1280" />
+		<layer id="2112" name="self.up_blocks.0.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="433393100" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -33207,7 +33176,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2298" name="Convert_229856" type="Convert" version="opset1">
+		<layer id="2113" name="Convert_117450" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -33222,7 +33191,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2299" name="self.up_blocks.0.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2114" name="self.up_blocks.0.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -33241,8 +33210,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2300" name="self.up_blocks.0.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="433436504" size="2560" />
+		<layer id="2115" name="self.up_blocks.0.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="433394380" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -33250,7 +33219,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2301" name="self.up_blocks.0.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2116" name="self.up_blocks.0.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -33269,7 +33238,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2302" name="self.up_blocks.0.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2117" name="self.up_blocks.0.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -33284,7 +33253,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2303" name="__module.up_blocks.0.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2118" name="__module.up_blocks.0.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33303,8 +33272,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2304" name="Constant_77013" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280" offset="433439064" size="5120" />
+		<layer id="2119" name="Constant_77013" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="433396940" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -33312,7 +33281,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2305" name="__module.up_blocks.0.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2120" name="__module.up_blocks.0.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33331,7 +33300,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2306" name="__module.up_blocks.0.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="2121" name="__module.up_blocks.0.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -33347,7 +33316,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2307" name="__module.up_blocks.0.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2122" name="__module.up_blocks.0.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -33365,7 +33334,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2308" name="__module.up_blocks.0.resnets.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="2123" name="__module.up_blocks.0.resnets.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33390,23 +33359,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2309" name="self.up_blocks.0.resnets.1.norm2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="433444184" size="5120" />
+		<layer id="2124" name="self.up_blocks.0.resnets.1.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="433402060" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.0.resnets.1.norm2.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2310" name="self.up_blocks.0.resnets.1.norm2.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="433449304" size="5120" />
+		<layer id="2125" name="self.up_blocks.0.resnets.1.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="433407180" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.0.resnets.1.norm2.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2311" name="__module.up_blocks.0.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="2126" name="__module.up_blocks.0.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33431,7 +33400,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2312" name="__module.conv_act/aten::silu/Swish_36" type="Swish" version="opset4">
+		<layer id="2127" name="__module.conv_act/aten::silu/Swish_36" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -33449,76 +33418,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2313" name="__module.conv_act/aten::silu/Swish_36/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="2128" name="self.up_blocks.0.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="433412300" size="14745600" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2314" name="__module.conv_act/aten::silu/Swish_36/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="433454424" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2315" name="__module.conv_act/aten::silu/Swish_36/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="2129" name="Convert_116666" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2316" name="__module.conv_act/aten::silu/Swish_36/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="433454424" size="4" />
+		<layer id="2130" name="self.up_blocks.0.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="448157900" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2317" name="__module.conv_act/aten::silu/Swish_36/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2131" name="Convert_116669" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2318" name="Constant_1241779" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="433454428" size="14745600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="2132" name="self.up_blocks.0.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2319" name="Convert_1241780" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -33526,10 +33503,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2320" name="Constant_1241781" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="448200028" size="5120" />
+		<layer id="2133" name="self.up_blocks.0.resnets.1.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="448159180" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -33537,16 +33514,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2321" name="__module.up_blocks.0.resnets.1.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2134" name="self.up_blocks.0.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -33554,7 +33531,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2135" name="self.up_blocks.0.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -33562,7 +33558,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2322" name="__module.up_blocks.0.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2136" name="__module.up_blocks.0.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33587,8 +33583,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2323" name="__module.up_blocks.0.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="448205148" size="5120" />
+		<layer id="2137" name="__module.up_blocks.0.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="448161740" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -33598,7 +33594,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2324" name="__module.up_blocks.0.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2138" name="__module.up_blocks.0.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33623,7 +33619,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2325" name="__module.up_blocks.0.resnets.1/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2139" name="__module.up_blocks.0.resnets.1/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33648,7 +33644,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2326" name="__module.up_blocks.0/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="2140" name="__module.up_blocks.0/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33673,76 +33669,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2327" name="__module.up_blocks.0.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="448210268" size="4" />
+		<layer id="2141" name="self.up_blocks.0.resnets.2.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 2560, 1, 1" offset="448166860" size="3276800" />
 			<output>
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-		<layer id="2328" name="__module.up_blocks.0.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="448210272" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="2329" name="__module.up_blocks.0.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="448210268" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="2330" name="__module.up_blocks.0.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="448210272" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2331" name="__module.up_blocks.0.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2142" name="Convert_117051" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
 					<dim>2560</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
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-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
 					<dim>2560</dim>
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-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2332" name="Constant_1241783" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 2560, 1, 1" offset="448210276" size="3276800" />
+		<layer id="2143" name="self.up_blocks.0.resnets.2.conv_shortcut.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="451443660" size="1280" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>2560</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2333" name="Convert_1241784" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2144" name="Convert_117054" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2145" name="self.up_blocks.0.resnets.2.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
@@ -33750,10 +33754,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2334" name="Constant_1241785" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="451487076" size="5120" />
+		<layer id="2146" name="self.up_blocks.0.resnets.2.conv_shortcut.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="451444940" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -33761,16 +33765,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2335" name="__module.up_blocks.0.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2147" name="self.up_blocks.0.resnets.2.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -33778,7 +33782,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2148" name="self.up_blocks.0.resnets.2.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
@@ -33786,7 +33809,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2336" name="__module.up_blocks.0.resnets.2.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2149" name="__module.up_blocks.0.resnets.2.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33811,8 +33834,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2337" name="__module.up_blocks.0.resnets.2.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="451492196" size="5120" />
+		<layer id="2150" name="__module.up_blocks.0.resnets.2.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="451447500" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -33822,7 +33845,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2338" name="__module.up_blocks.0.resnets.2.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2151" name="__module.up_blocks.0.resnets.2.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33847,23 +33870,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2339" name="self.up_blocks.0.resnets.2.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="2560" offset="451497316" size="10240" />
+		<layer id="2152" name="self.up_blocks.0.resnets.2.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="2560" offset="451452620" size="10240" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.0.resnets.2.norm1.weight">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2340" name="self.up_blocks.0.resnets.2.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="2560" offset="451507556" size="10240" />
+		<layer id="2153" name="self.up_blocks.0.resnets.2.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="2560" offset="451462860" size="10240" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.0.resnets.2.norm1.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2341" name="__module.up_blocks.0.resnets.2.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="2154" name="__module.up_blocks.0.resnets.2.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33888,7 +33911,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2342" name="__module.conv_act/aten::silu/Swish_37" type="Swish" version="opset4">
+		<layer id="2155" name="__module.conv_act/aten::silu/Swish_37" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -33906,76 +33929,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2343" name="__module.conv_act/aten::silu/Swish_37/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2344" name="__module.conv_act/aten::silu/Swish_37/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="59604500" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2345" name="__module.conv_act/aten::silu/Swish_37/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2346" name="__module.conv_act/aten::silu/Swish_37/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="59604500" size="4" />
+		<layer id="2156" name="self.up_blocks.0.resnets.2.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 2560, 3, 3" offset="451473100" size="29491200" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2347" name="__module.conv_act/aten::silu/Swish_37/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2157" name="Convert_116479" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
 					<dim>2560</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
 					<dim>2560</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2348" name="Constant_1241787" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 2560, 3, 3" offset="451517796" size="29491200" />
+		<layer id="2158" name="self.up_blocks.0.resnets.2.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="480964300" size="1280" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>2560</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2349" name="Convert_1241788" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2159" name="Convert_116482" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2160" name="self.up_blocks.0.resnets.2.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
@@ -33983,10 +34014,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2350" name="Constant_1241789" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="481008996" size="5120" />
+		<layer id="2161" name="self.up_blocks.0.resnets.2.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="480965580" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -33994,16 +34025,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2351" name="__module.up_blocks.0.resnets.2.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2162" name="self.up_blocks.0.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -34011,7 +34042,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2163" name="self.up_blocks.0.resnets.2.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
@@ -34019,7 +34069,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2352" name="__module.up_blocks.0.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2164" name="__module.up_blocks.0.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34044,8 +34094,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2353" name="__module.up_blocks.0.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="481014116" size="5120" />
+		<layer id="2165" name="__module.up_blocks.0.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="480968140" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -34055,7 +34105,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2354" name="__module.up_blocks.0.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2166" name="__module.up_blocks.0.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34080,8 +34130,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2355" name="self.up_blocks.0.resnets.2.time_emb_proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="481019236" size="1638400" />
+		<layer id="2167" name="self.up_blocks.0.resnets.2.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="480973260" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -34089,7 +34139,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2356" name="Convert_229842" type="Convert" version="opset1">
+		<layer id="2168" name="Convert_117436" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -34104,8 +34154,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2357" name="self.up_blocks.0.resnets.2.time_emb_proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="482657636" size="1280" />
+		<layer id="2169" name="self.up_blocks.0.resnets.2.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="482611660" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -34113,7 +34163,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2358" name="Convert_229845" type="Convert" version="opset1">
+		<layer id="2170" name="Convert_117439" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -34128,7 +34178,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2359" name="self.up_blocks.0.resnets.2.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2171" name="self.up_blocks.0.resnets.2.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -34147,8 +34197,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2360" name="self.up_blocks.0.resnets.2.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="482658916" size="2560" />
+		<layer id="2172" name="self.up_blocks.0.resnets.2.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="482612940" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -34156,7 +34206,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2361" name="self.up_blocks.0.resnets.2.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2173" name="self.up_blocks.0.resnets.2.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -34175,7 +34225,7 @@
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 			</output>
 		</layer>
-		<layer id="2362" name="self.up_blocks.0.resnets.2.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2174" name="self.up_blocks.0.resnets.2.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -34190,7 +34240,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2363" name="__module.up_blocks.0.resnets.2.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2175" name="__module.up_blocks.0.resnets.2.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34209,8 +34259,8 @@
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 			</output>
 		</layer>
-		<layer id="2364" name="Constant_77014" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280" offset="482661476" size="5120" />
+		<layer id="2176" name="Constant_77014" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="482615500" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -34218,7 +34268,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2365" name="__module.up_blocks.0.resnets.2.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2177" name="__module.up_blocks.0.resnets.2.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34237,7 +34287,7 @@
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 			</output>
 		</layer>
-		<layer id="2366" name="__module.up_blocks.0.resnets.2/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="2178" name="__module.up_blocks.0.resnets.2/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -34253,7 +34303,7 @@
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 			</output>
 		</layer>
-		<layer id="2367" name="__module.up_blocks.0.resnets.2/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2179" name="__module.up_blocks.0.resnets.2/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -34271,7 +34321,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2368" name="__module.up_blocks.0.resnets.2/aten::add/Add" type="Add" version="opset1">
+		<layer id="2180" name="__module.up_blocks.0.resnets.2/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34296,23 +34346,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2369" name="self.up_blocks.0.resnets.2.norm2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="482666596" size="5120" />
+		<layer id="2181" name="self.up_blocks.0.resnets.2.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="482620620" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.0.resnets.2.norm2.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2370" name="self.up_blocks.0.resnets.2.norm2.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="482671716" size="5120" />
+		<layer id="2182" name="self.up_blocks.0.resnets.2.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="482625740" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.0.resnets.2.norm2.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2371" name="__module.up_blocks.0.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="2183" name="__module.up_blocks.0.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34337,7 +34387,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2372" name="__module.conv_act/aten::silu/Swish_39" type="Swish" version="opset4">
+		<layer id="2184" name="__module.conv_act/aten::silu/Swish_39" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -34355,76 +34405,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2373" name="__module.conv_act/aten::silu/Swish_39/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="482676836" size="4" />
+		<layer id="2185" name="self.up_blocks.0.resnets.2.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="482630860" size="14745600" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2374" name="__module.conv_act/aten::silu/Swish_39/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="482676840" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2375" name="__module.conv_act/aten::silu/Swish_39/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="482676836" size="4" />
+		<layer id="2186" name="Convert_116677" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2376" name="__module.conv_act/aten::silu/Swish_39/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="482676840" size="4" />
+		<layer id="2187" name="self.up_blocks.0.resnets.2.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="497376460" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2377" name="__module.conv_act/aten::silu/Swish_39/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2188" name="Convert_116680" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2378" name="Constant_1241791" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="482676844" size="14745600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="2189" name="self.up_blocks.0.resnets.2.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2379" name="Convert_1241792" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -34432,10 +34490,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2380" name="Constant_1241793" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="497422444" size="5120" />
+		<layer id="2190" name="self.up_blocks.0.resnets.2.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="497377740" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -34443,16 +34501,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2381" name="__module.up_blocks.0.resnets.2.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2191" name="self.up_blocks.0.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -34460,7 +34518,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2192" name="self.up_blocks.0.resnets.2.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -34468,7 +34545,7 @@
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 			</output>
 		</layer>
-		<layer id="2382" name="__module.up_blocks.0.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2193" name="__module.up_blocks.0.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34493,8 +34570,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2383" name="__module.up_blocks.0.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="497427564" size="5120" />
+		<layer id="2194" name="__module.up_blocks.0.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="497380300" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -34504,7 +34581,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2384" name="__module.up_blocks.0.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2195" name="__module.up_blocks.0.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34529,7 +34606,7 @@
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 			</output>
 		</layer>
-		<layer id="2385" name="__module.up_blocks.0.resnets.2/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2196" name="__module.up_blocks.0.resnets.2/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34554,70 +34631,23 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="497432684" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="2387" name="__module.up_blocks.0.resnets.2/aten::add/Add_1/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="497432688" size="4" />
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-				<port id="0" precision="FP32" />
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-		<layer id="2388" name="__module.up_blocks.0.resnets.2/aten::add/Add_1/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="497432684" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-			<data element_type="f32" shape="" offset="497432688" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-				<port id="4" precision="FP32" />
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-					<dim>1280</dim>
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-		<layer id="2391" name="__module.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
-			<data element_type="f32" shape="2" offset="497432692" size="8" />
+		<layer id="2197" name="__module.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="497385420" size="8" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2392" name="Constant_27133" type="Const" version="opset1">
-			<data element_type="i32" shape="2" offset="497432700" size="8" />
+		<layer id="2198" name="Constant_27133" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="497385428" size="8" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2393" name="__module.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
+		<layer id="2199" name="__module.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
 			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34642,76 +34672,84 @@
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 			</output>
 		</layer>
-		<layer id="2394" name="__module.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Interpolate/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="497432684" size="4" />
+		<layer id="2200" name="self.up_blocks.0.upsamplers.0.conv.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="497385436" size="14745600" />
 			<output>
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-		<layer id="2395" name="__module.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Interpolate/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="497432688" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="2396" name="__module.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Interpolate/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="497432684" size="4" />
+		<layer id="2201" name="Convert_116688" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2397" name="__module.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Interpolate/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="497432688" size="4" />
+		<layer id="2202" name="self.up_blocks.0.upsamplers.0.conv.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="512131036" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2398" name="__module.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Interpolate/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2203" name="Convert_116691" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2399" name="Constant_1241795" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="497432708" size="14745600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="2204" name="self.up_blocks.0.upsamplers.0.conv.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2400" name="Convert_1241796" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -34719,10 +34757,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2401" name="Constant_1241797" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="512178308" size="5120" />
+		<layer id="2205" name="self.up_blocks.0.upsamplers.0.conv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="512132316" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -34730,16 +34768,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2402" name="__module.up_blocks.0.upsamplers.0.conv/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2206" name="self.up_blocks.0.upsamplers.0.conv.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -34747,7 +34785,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -34755,7 +34793,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2403" name="__module.up_blocks.0.upsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2207" name="self.up_blocks.0.upsamplers.0.conv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2208" name="__module.up_blocks.0.upsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34780,8 +34837,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2404" name="__module.up_blocks.0.upsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="512183428" size="5120" />
+		<layer id="2209" name="__module.up_blocks.0.upsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="512134876" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -34791,7 +34848,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2405" name="__module.up_blocks.0.upsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2210" name="__module.up_blocks.0.upsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34816,7 +34873,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2406" name="__module.up_blocks.1/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="2211" name="__module.up_blocks.1/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34841,76 +34898,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2407" name="__module.up_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="512188548" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2408" name="__module.up_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="512188552" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2409" name="__module.up_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="512188548" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2410" name="__module.up_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="512188552" size="4" />
+		<layer id="2212" name="self.up_blocks.1.resnets.0.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 2560, 1, 1" offset="512139996" size="3276800" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2411" name="__module.up_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2213" name="Convert_117062" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
 					<dim>2560</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
 					<dim>2560</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2412" name="Constant_1241799" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 2560, 1, 1" offset="512188556" size="3276800" />
+		<layer id="2214" name="self.up_blocks.1.resnets.0.conv_shortcut.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="515416796" size="1280" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>2560</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2413" name="Convert_1241800" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2215" name="Convert_117065" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2216" name="self.up_blocks.1.resnets.0.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
@@ -34918,10 +34983,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2414" name="Constant_1241801" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="515465356" size="5120" />
+		<layer id="2217" name="self.up_blocks.1.resnets.0.conv_shortcut.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="515418076" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -34929,16 +34994,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2415" name="__module.up_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2218" name="self.up_blocks.1.resnets.0.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -34946,7 +35011,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2219" name="self.up_blocks.1.resnets.0.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
@@ -34954,7 +35038,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2416" name="__module.up_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2220" name="__module.up_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34979,8 +35063,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2417" name="__module.up_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="515470476" size="5120" />
+		<layer id="2221" name="__module.up_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="515420636" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -34990,7 +35074,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2418" name="__module.up_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2222" name="__module.up_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35015,23 +35099,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2419" name="self.up_blocks.1.resnets.0.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="2560" offset="515475596" size="10240" />
+		<layer id="2223" name="self.up_blocks.1.resnets.0.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="2560" offset="515425756" size="10240" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.1.resnets.0.norm1.weight">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2420" name="self.up_blocks.1.resnets.0.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="2560" offset="515485836" size="10240" />
+		<layer id="2224" name="self.up_blocks.1.resnets.0.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="2560" offset="515435996" size="10240" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.1.resnets.0.norm1.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2421" name="__module.up_blocks.1.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="2225" name="__module.up_blocks.1.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35056,7 +35140,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2422" name="__module.conv_act/aten::silu/Swish_40" type="Swish" version="opset4">
+		<layer id="2226" name="__module.conv_act/aten::silu/Swish_40" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -35074,76 +35158,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2423" name="__module.conv_act/aten::silu/Swish_40/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="2227" name="self.up_blocks.1.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 2560, 3, 3" offset="515446236" size="29491200" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2424" name="__module.conv_act/aten::silu/Swish_40/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="59604500" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2425" name="__module.conv_act/aten::silu/Swish_40/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
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-		<layer id="2426" name="__module.conv_act/aten::silu/Swish_40/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="59604500" size="4" />
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-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2427" name="__module.conv_act/aten::silu/Swish_40/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2228" name="Convert_116490" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
 					<dim>2560</dim>
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-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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-				<port id="2" precision="FP32" />
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 			<output>
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+				<port id="1" precision="FP16">
+					<dim>1280</dim>
 					<dim>2560</dim>
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-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 		</layer>
-		<layer id="2428" name="Constant_1241803" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 2560, 3, 3" offset="515496076" size="29491200" />
+		<layer id="2229" name="self.up_blocks.1.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="544937436" size="1280" />
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 					<dim>1280</dim>
-					<dim>2560</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="2429" name="Convert_1241804" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2230" name="Convert_116493" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2231" name="self.up_blocks.1.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
@@ -35151,10 +35243,10 @@
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 			</output>
 		</layer>
-		<layer id="2430" name="Constant_1241805" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="544987276" size="5120" />
+		<layer id="2232" name="self.up_blocks.1.resnets.0.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="544938716" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -35162,16 +35254,16 @@
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 			</output>
 		</layer>
-		<layer id="2431" name="__module.up_blocks.1.resnets.0.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2233" name="self.up_blocks.1.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -35179,7 +35271,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2234" name="self.up_blocks.1.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
@@ -35187,7 +35298,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2432" name="__module.up_blocks.1.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2235" name="__module.up_blocks.1.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35212,8 +35323,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2433" name="__module.up_blocks.1.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="544992396" size="5120" />
+		<layer id="2236" name="__module.up_blocks.1.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="544941276" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -35223,7 +35334,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2434" name="__module.up_blocks.1.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2237" name="__module.up_blocks.1.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35248,8 +35359,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2435" name="self.up_blocks.1.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="544997516" size="1638400" />
+		<layer id="2238" name="self.up_blocks.1.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="544946396" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -35257,7 +35368,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2436" name="Convert_229754" type="Convert" version="opset1">
+		<layer id="2239" name="Convert_117326" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -35272,8 +35383,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2437" name="self.up_blocks.1.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="546635916" size="1280" />
+		<layer id="2240" name="self.up_blocks.1.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="546584796" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -35281,7 +35392,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2438" name="Convert_229757" type="Convert" version="opset1">
+		<layer id="2241" name="Convert_117329" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -35296,7 +35407,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2439" name="self.up_blocks.1.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2242" name="self.up_blocks.1.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -35315,8 +35426,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2440" name="self.up_blocks.1.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="546637196" size="2560" />
+		<layer id="2243" name="self.up_blocks.1.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="546586076" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -35324,7 +35435,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2441" name="self.up_blocks.1.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2244" name="self.up_blocks.1.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -35343,7 +35454,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2442" name="self.up_blocks.1.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2245" name="self.up_blocks.1.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -35358,7 +35469,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2443" name="__module.up_blocks.1.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2246" name="__module.up_blocks.1.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35377,8 +35488,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2444" name="Constant_77015" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280" offset="546639756" size="5120" />
+		<layer id="2247" name="Constant_77015" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="546588636" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -35386,7 +35497,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2445" name="__module.up_blocks.1.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2248" name="__module.up_blocks.1.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35405,13 +35516,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2446" name="2000" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3419248" size="8" />
+		<layer id="2249" name="2000" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="3418592" size="8" />
 			<output>
 				<port id="0" precision="I64" names="2000" />
 			</output>
 		</layer>
-		<layer id="2447" name="__module.up_blocks.1.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="2250" name="__module.up_blocks.1.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -35427,13 +35538,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2448" name="2001" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3419256" size="8" />
+		<layer id="2251" name="2001" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="3418600" size="8" />
 			<output>
 				<port id="0" precision="I64" names="2001" />
 			</output>
 		</layer>
-		<layer id="2449" name="__module.up_blocks.1.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2252" name="__module.up_blocks.1.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -35451,7 +35562,7 @@
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 			</output>
 		</layer>
-		<layer id="2450" name="__module.up_blocks.1.resnets.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="2253" name="__module.up_blocks.1.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35476,23 +35587,23 @@
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 			</output>
 		</layer>
-		<layer id="2451" name="self.up_blocks.1.resnets.0.norm2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="546644876" size="5120" />
+		<layer id="2254" name="self.up_blocks.1.resnets.0.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="546593756" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.1.resnets.0.norm2.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1280" offset="546649996" size="5120" />
+		<layer id="2255" name="self.up_blocks.1.resnets.0.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="546598876" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.1.resnets.0.norm2.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2453" name="__module.up_blocks.1.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="2256" name="__module.up_blocks.1.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35517,7 +35628,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2454" name="__module.conv_act/aten::silu/Swish_42" type="Swish" version="opset4">
+		<layer id="2257" name="__module.conv_act/aten::silu/Swish_42" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -35535,76 +35646,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2455" name="__module.conv_act/aten::silu/Swish_42/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="546655116" size="4" />
+		<layer id="2258" name="self.up_blocks.1.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="546603996" size="14745600" />
 			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="2456" name="__module.conv_act/aten::silu/Swish_42/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="546655120" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="2457" name="__module.conv_act/aten::silu/Swish_42/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="546655116" size="4" />
+		<layer id="2259" name="Convert_116699" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="2458" name="__module.conv_act/aten::silu/Swish_42/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="546655120" size="4" />
+		<layer id="2260" name="self.up_blocks.1.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="561349596" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
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+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="2459" name="__module.conv_act/aten::silu/Swish_42/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2261" name="Convert_116702" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
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+				<port id="0" precision="U8">
 					<dim>1280</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
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 			<output>
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+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="546655124" size="14745600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="2262" name="self.up_blocks.1.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
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-		<layer id="2461" name="Convert_1241808" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -35612,10 +35731,10 @@
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 			</output>
 		</layer>
-		<layer id="2462" name="Constant_1241809" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="561400724" size="5120" />
+		<layer id="2263" name="self.up_blocks.1.resnets.0.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="561350876" size="2560" />
 			<output>
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+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -35623,16 +35742,16 @@
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 			</output>
 		</layer>
-		<layer id="2463" name="__module.up_blocks.1.resnets.0.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2264" name="self.up_blocks.1.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
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 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
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-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
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 					<dim>1</dim>
 					<dim>1</dim>
@@ -35640,7 +35759,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -35648,7 +35767,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2464" name="__module.up_blocks.1.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2265" name="self.up_blocks.1.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2266" name="__module.up_blocks.1.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35673,8 +35811,8 @@
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 			</output>
 		</layer>
-		<layer id="2465" name="__module.up_blocks.1.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="561405844" size="5120" />
+		<layer id="2267" name="__module.up_blocks.1.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="561353436" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -35684,7 +35822,7 @@
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 			</output>
 		</layer>
-		<layer id="2466" name="__module.up_blocks.1.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2268" name="__module.up_blocks.1.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35709,7 +35847,7 @@
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 			</output>
 		</layer>
-		<layer id="2467" name="__module.up_blocks.1.resnets.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2269" name="__module.up_blocks.1.resnets.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35734,23 +35872,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2468" name="self.up_blocks.1.attentions.0.norm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="561410964" size="5120" />
+		<layer id="2270" name="self.up_blocks.1.attentions.0.norm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="561358556" size="5120" />
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 				<port id="0" precision="FP32" names="self.up_blocks.1.attentions.0.norm.weight">
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 		</layer>
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-			<data element_type="f32" shape="1280" offset="561416084" size="5120" />
+		<layer id="2271" name="self.up_blocks.1.attentions.0.norm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="561363676" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.1.attentions.0.norm.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2470" name="__module.up_blocks.1.attentions.0.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="2272" name="__module.up_blocks.1.attentions.0.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35775,76 +35913,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2471" name="__module.up_blocks.1.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="561421204" size="4" />
+		<layer id="2273" name="self.up_blocks.1.attentions.0.proj_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 1, 1" offset="561368796" size="1638400" />
 			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="2472" name="__module.up_blocks.1.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="561421208" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="2473" name="__module.up_blocks.1.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="561421204" size="4" />
+		<layer id="2274" name="Convert_117601" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2474" name="__module.up_blocks.1.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="561421208" size="4" />
+		<layer id="2275" name="self.up_blocks.1.attentions.0.proj_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="563007196" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="2475" name="__module.up_blocks.1.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2276" name="Convert_117604" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2476" name="Constant_1241811" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 1, 1" offset="561421212" size="1638400" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="2277" name="self.up_blocks.1.attentions.0.proj_in.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
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-		<layer id="2477" name="Convert_1241812" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -35852,10 +35998,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2478" name="Constant_1241813" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="563059612" size="5120" />
+		<layer id="2278" name="self.up_blocks.1.attentions.0.proj_in.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="563008476" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
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 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -35863,16 +36009,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2479" name="__module.up_blocks.1.attentions.0.proj_in/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2279" name="self.up_blocks.1.attentions.0.proj_in.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -35880,7 +36026,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -35888,7 +36034,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2480" name="__module.up_blocks.1.attentions.0.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2280" name="self.up_blocks.1.attentions.0.proj_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2281" name="__module.up_blocks.1.attentions.0.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35913,8 +36078,8 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1280, 1, 1" offset="563064732" size="5120" />
+		<layer id="2282" name="__module.up_blocks.1.attentions.0.proj_in/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="563011036" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -35924,7 +36089,7 @@
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 			</output>
 		</layer>
-		<layer id="2482" name="__module.up_blocks.1.attentions.0.proj_in/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2283" name="__module.up_blocks.1.attentions.0.proj_in/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35949,15 +36114,15 @@
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 			</output>
 		</layer>
-		<layer id="2483" name="Constant_27513" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4453520" size="32" />
+		<layer id="2284" name="Constant_27513" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4452208" size="32" />
 			<output>
 				<port id="0" precision="I64" names="2093">
 					<dim>4</dim>
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 		</layer>
-		<layer id="2484" name="__module.up_blocks.1.attentions.0/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="2285" name="__module.up_blocks.1.attentions.0/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -35978,15 +36143,15 @@
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 		</layer>
-		<layer id="2485" name="Constant_79919" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="76019232" size="24" />
+		<layer id="2286" name="Constant_79919" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="76004212" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
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 		</layer>
-		<layer id="2486" name="__module.up_blocks.1.attentions.0/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="2287" name="__module.up_blocks.1.attentions.0/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36007,15 +36172,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="2288" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2488" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2289" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36035,8 +36200,8 @@
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 		</layer>
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-			<data element_type="f32" shape="1, 1, 1280" offset="563069852" size="5120" />
+		<layer id="2290" name="Constant_77016" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="563016156" size="5120" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -36045,7 +36210,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2490" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2291" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36067,8 +36232,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2491" name="Constant_77017" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="563074972" size="5120" />
+		<layer id="2292" name="Constant_77017" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="563021276" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -36077,7 +36242,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2492" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2293" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36099,8 +36264,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2493" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="563080092" size="1638400" />
+		<layer id="2294" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="563026396" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -36108,7 +36273,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2494" name="Convert_230007" type="Convert" version="opset1">
+		<layer id="2295" name="Convert_117634" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -36123,8 +36288,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2495" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="564718492" size="1280" />
+		<layer id="2296" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="564664796" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -36132,7 +36297,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2496" name="Convert_230010" type="Convert" version="opset1">
+		<layer id="2297" name="Convert_117637" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -36147,7 +36312,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2497" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2298" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -36166,8 +36331,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2498" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="564719772" size="2560" />
+		<layer id="2299" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="564666076" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -36175,7 +36340,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2499" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2300" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -36194,7 +36359,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2500" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2301" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -36209,7 +36374,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2501" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2302" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36230,60 +36395,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2502" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="564722332" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2503" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="564722336" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2504" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="564722332" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2505" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="564722336" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2506" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2507" name="Constant_79920" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="2303" name="Constant_79920" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2508" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="2304" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36304,15 +36424,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2509" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="2305" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2510" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
+		<layer id="2306" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -36333,8 +36453,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2511" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="564722340" size="1638400" />
+		<layer id="2307" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="564668636" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -36342,7 +36462,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2512" name="Convert_229996" type="Convert" version="opset1">
+		<layer id="2308" name="Convert_117623" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -36357,8 +36477,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2513" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="566360740" size="1280" />
+		<layer id="2309" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="566307036" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -36366,7 +36486,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2514" name="Convert_229999" type="Convert" version="opset1">
+		<layer id="2310" name="Convert_117626" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -36381,7 +36501,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2515" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2311" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -36400,8 +36520,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2516" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="566362020" size="2560" />
+		<layer id="2312" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="566308316" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -36409,7 +36529,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2517" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2313" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -36428,7 +36548,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2518" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2314" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -36443,7 +36563,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2519" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2315" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36464,60 +36584,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2520" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="566364580" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="2521" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="566364584" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2522" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="566364580" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2523" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="566364584" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="2524" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>1280</dim>
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-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-			<output>
-				<port id="5" precision="FP32">
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-					<dim>-1</dim>
-					<dim>1280</dim>
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-			</output>
-		</layer>
-		<layer id="2525" name="Constant_79921" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="2316" name="Constant_79921" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2526" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2317" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36538,15 +36613,15 @@
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 			</output>
 		</layer>
-		<layer id="2527" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="2318" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2528" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2319" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -36567,8 +36642,8 @@
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 			</output>
 		</layer>
-		<layer id="2529" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="566364588" size="1638400" />
+		<layer id="2320" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="566310876" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -36576,7 +36651,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2530" name="Convert_229985" type="Convert" version="opset1">
+		<layer id="2321" name="Convert_117612" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -36591,8 +36666,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2531" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="568002988" size="1280" />
+		<layer id="2322" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="567949276" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -36600,7 +36675,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2532" name="Convert_229988" type="Convert" version="opset1">
+		<layer id="2323" name="Convert_117615" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -36615,7 +36690,7 @@
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 			</output>
 		</layer>
-		<layer id="2533" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2324" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -36634,8 +36709,8 @@
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 			</output>
 		</layer>
-		<layer id="2534" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="568004268" size="2560" />
+		<layer id="2325" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="567950556" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -36643,7 +36718,7 @@
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 			</output>
 		</layer>
-		<layer id="2535" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2326" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -36662,7 +36737,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2536" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2327" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -36677,7 +36752,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2537" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2328" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36698,15 +36773,15 @@
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 		</layer>
-		<layer id="2538" name="Constant_79922" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="2329" name="Constant_79922" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="2539" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
+		<layer id="2330" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36727,15 +36802,15 @@
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 			</output>
 		</layer>
-		<layer id="2540" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="2331" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2541" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2332" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -36756,7 +36831,7 @@
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 			</output>
 		</layer>
-		<layer id="2542" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="2333" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36787,15 +36862,15 @@
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 			</output>
 		</layer>
-		<layer id="2543" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="2334" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
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 			</output>
 		</layer>
-		<layer id="2544" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2335" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -36816,15 +36891,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2545" name="Constant_79923" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="80956264" size="24" />
+		<layer id="2336" name="Constant_79923" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="80941228" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="2546" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="2337" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36845,8 +36920,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2547" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="568006828" size="1638400" />
+		<layer id="2338" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="567953116" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -36854,7 +36929,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2548" name="Convert_230018" type="Convert" version="opset1">
+		<layer id="2339" name="Convert_117645" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -36869,8 +36944,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2549" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="569645228" size="1280" />
+		<layer id="2340" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="569591516" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -36878,7 +36953,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2550" name="Convert_230021" type="Convert" version="opset1">
+		<layer id="2341" name="Convert_117648" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -36893,7 +36968,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2551" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2342" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -36912,8 +36987,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2552" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="569646508" size="2560" />
+		<layer id="2343" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="569592796" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -36921,7 +36996,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2553" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2344" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -36940,7 +37015,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2554" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2345" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -36955,7 +37030,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2555" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2346" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36976,8 +37051,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2556" name="Constant_77018" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="569649068" size="5120" />
+		<layer id="2347" name="Constant_77018" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="569595356" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -36986,7 +37061,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2557" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2348" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37008,7 +37083,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2558" name="__module.up_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="2349" name="__module.up_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37030,15 +37105,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2559" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="2350" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2560" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2351" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37058,8 +37133,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2561" name="Constant_77019" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="569654188" size="5120" />
+		<layer id="2352" name="Constant_77019" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="569600476" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -37068,7 +37143,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2562" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2353" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37090,8 +37165,8 @@
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 			</output>
 		</layer>
-		<layer id="2563" name="Constant_77020" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="569659308" size="5120" />
+		<layer id="2354" name="Constant_77020" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="569605596" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -37100,7 +37175,7 @@
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 			</output>
 		</layer>
-		<layer id="2564" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2355" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37122,8 +37197,8 @@
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 			</output>
 		</layer>
-		<layer id="2565" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="569664428" size="1638400" />
+		<layer id="2356" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="569610716" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -37131,7 +37206,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2566" name="Convert_230029" type="Convert" version="opset1">
+		<layer id="2357" name="Convert_117656" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -37146,8 +37221,8 @@
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 			</output>
 		</layer>
-		<layer id="2567" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="571302828" size="1280" />
+		<layer id="2358" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="571249116" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -37155,7 +37230,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2568" name="Convert_230032" type="Convert" version="opset1">
+		<layer id="2359" name="Convert_117659" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -37170,7 +37245,7 @@
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 			</output>
 		</layer>
-		<layer id="2569" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2360" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -37189,8 +37264,8 @@
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 			</output>
 		</layer>
-		<layer id="2570" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="571304108" size="2560" />
+		<layer id="2361" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="571250396" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -37198,7 +37273,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2571" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2362" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -37217,7 +37292,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2572" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2363" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -37232,7 +37307,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2573" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2364" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37253,52 +37328,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2574" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="571306668" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2575" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="571306672" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2576" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="571306668" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2577" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="571306672" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2578" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2579" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="2365" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37319,15 +37349,15 @@
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 			</output>
 		</layer>
-		<layer id="2580" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="2366" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2581" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
+		<layer id="2367" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -37348,8 +37378,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2582" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 768" offset="571306676" size="983040" />
+		<layer id="2368" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="571252956" size="983040" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -37357,7 +37387,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2583" name="Convert_230293" type="Convert" version="opset1">
+		<layer id="2369" name="Convert_117986" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -37372,8 +37402,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2584" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="572289716" size="1280" />
+		<layer id="2370" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="572235996" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -37381,7 +37411,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2585" name="Convert_230296" type="Convert" version="opset1">
+		<layer id="2371" name="Convert_117989" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -37396,7 +37426,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2586" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2372" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -37415,8 +37445,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2587" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="572290996" size="2560" />
+		<layer id="2373" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="572237276" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -37424,7 +37454,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2588" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2374" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -37443,7 +37473,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2589" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2375" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -37458,7 +37488,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2590" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2376" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37479,60 +37509,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2591" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="572293556" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2592" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="572293560" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2593" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="572293556" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2594" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="572293560" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2595" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>77</dim>
-					<dim>1280</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>77</dim>
-					<dim>1280</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2596" name="Constant_79924" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="2377" name="Constant_79924" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2597" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2378" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37553,15 +37538,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2598" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="2379" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2599" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2380" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -37582,8 +37567,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2600" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 768" offset="572293564" size="983040" />
+		<layer id="2381" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="572239836" size="983040" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -37591,7 +37576,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2601" name="Convert_230282" type="Convert" version="opset1">
+		<layer id="2382" name="Convert_117975" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -37606,8 +37591,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2602" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="573276604" size="1280" />
+		<layer id="2383" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="573222876" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -37615,7 +37600,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2603" name="Convert_230285" type="Convert" version="opset1">
+		<layer id="2384" name="Convert_117978" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -37630,7 +37615,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2604" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2385" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -37649,8 +37634,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2605" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="573277884" size="2560" />
+		<layer id="2386" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="573224156" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -37658,7 +37643,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2606" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2387" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -37677,7 +37662,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2607" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2388" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -37692,7 +37677,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2608" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2389" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37713,15 +37698,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2609" name="Constant_79925" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="2390" name="Constant_79925" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2610" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
+		<layer id="2391" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37742,15 +37727,15 @@
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 			</output>
 		</layer>
-		<layer id="2611" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="2392" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2612" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2393" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -37771,7 +37756,7 @@
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 			</output>
 		</layer>
-		<layer id="2613" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="2394" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37802,15 +37787,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2614" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="2395" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2615" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2396" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -37831,15 +37816,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2616" name="Constant_79926" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="80956264" size="24" />
+		<layer id="2397" name="Constant_79926" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="80941228" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="2398" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37860,8 +37845,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2618" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="573280444" size="1638400" />
+		<layer id="2399" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="573226716" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -37869,7 +37854,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2619" name="Convert_230040" type="Convert" version="opset1">
+		<layer id="2400" name="Convert_117667" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -37884,8 +37869,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2620" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="574918844" size="1280" />
+		<layer id="2401" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="574865116" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -37893,7 +37878,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2621" name="Convert_230043" type="Convert" version="opset1">
+		<layer id="2402" name="Convert_117670" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -37908,7 +37893,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2622" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2403" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -37927,8 +37912,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2623" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="574920124" size="2560" />
+		<layer id="2404" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="574866396" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -37936,7 +37921,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2624" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2405" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -37955,7 +37940,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2625" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2406" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -37970,7 +37955,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2626" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2407" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37991,8 +37976,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2627" name="Constant_77021" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="574922684" size="5120" />
+		<layer id="2408" name="Constant_77021" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="574868956" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -38001,7 +37986,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2628" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2409" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38023,7 +38008,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2629" name="__module.up_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2410" name="__module.up_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38045,15 +38030,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2630" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="2411" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2631" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2412" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38073,8 +38058,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2632" name="Constant_77022" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="574927804" size="5120" />
+		<layer id="2413" name="Constant_77022" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="574874076" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -38083,7 +38068,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2633" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2414" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38105,8 +38090,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2634" name="Constant_77023" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="574932924" size="5120" />
+		<layer id="2415" name="Constant_77023" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="574879196" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -38115,7 +38100,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2635" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2416" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38137,8 +38122,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2636" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1280" offset="574938044" size="13107200" />
+		<layer id="2417" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1280" offset="574884316" size="13107200" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -38146,7 +38131,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2637" name="Convert_229468" type="Convert" version="opset1">
+		<layer id="2418" name="Convert_116776" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -38161,8 +38146,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2638" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="588045244" size="10240" />
+		<layer id="2419" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="587991516" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -38170,7 +38155,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2639" name="Convert_229471" type="Convert" version="opset1">
+		<layer id="2420" name="Convert_116779" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -38185,7 +38170,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2640" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2421" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -38204,8 +38189,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2641" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="588055484" size="20480" />
+		<layer id="2422" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="588001756" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -38213,7 +38198,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2642" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2423" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -38232,7 +38217,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2643" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2424" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -38247,7 +38232,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2644" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2425" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38268,8 +38253,8 @@
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 			</output>
 		</layer>
-		<layer id="2645" name="Constant_77024" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="588075964" size="40960" />
+		<layer id="2426" name="Constant_77024" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 10240" offset="588022236" size="40960" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -38278,7 +38263,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2646" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2427" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38300,13 +38285,13 @@
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 			</output>
 		</layer>
-		<layer id="2647" name="1990" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4976876" size="8" />
+		<layer id="2428" name="1990" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4975540" size="8" />
 			<output>
 				<port id="0" precision="I64" names="1990" />
 			</output>
 		</layer>
-		<layer id="2648" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="2429" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38321,15 +38306,15 @@
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 			</output>
 		</layer>
-		<layer id="2649" name="Constant_45111" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="6414668" size="4" />
+		<layer id="2430" name="Constant_45111" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="6413324" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2650" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
+		<layer id="2431" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -38344,13 +38329,13 @@
 				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="2651" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="6414672" size="4" />
+		<layer id="2432" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="6413328" size="4" />
 			<output>
 				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="2652" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
+		<layer id="2433" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="I32" />
@@ -38360,7 +38345,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="2653" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+		<layer id="2434" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -38370,7 +38355,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="2654" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+		<layer id="2435" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -38384,7 +38369,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2655" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+		<layer id="2436" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="BOOL">
@@ -38397,7 +38382,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2656" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+		<layer id="2437" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -38411,15 +38396,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2657" name="Constant_45112" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="2438" name="Constant_45112" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2658" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+		<layer id="2439" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -38435,7 +38420,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2659" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+		<layer id="2440" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -38460,7 +38445,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2660" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="2441" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38477,7 +38462,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2661" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="2442" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38499,8 +38484,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2662" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 5120" offset="588116924" size="6553600" />
+		<layer id="2443" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 5120" offset="588063196" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -38508,7 +38493,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2663" name="Convert_229534" type="Convert" version="opset1">
+		<layer id="2444" name="Convert_116875" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -38523,8 +38508,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2664" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="594670524" size="1280" />
+		<layer id="2445" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="594616796" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -38532,7 +38517,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2665" name="Convert_229537" type="Convert" version="opset1">
+		<layer id="2446" name="Convert_116878" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -38547,7 +38532,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2666" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2447" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -38566,8 +38551,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2667" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="594671804" size="2560" />
+		<layer id="2448" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="594618076" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -38575,7 +38560,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2668" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2449" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -38594,7 +38579,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2669" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2450" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -38609,7 +38594,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2670" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2451" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38630,8 +38615,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2671" name="Constant_77025" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="594674364" size="5120" />
+		<layer id="2452" name="Constant_77025" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="594620636" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -38640,7 +38625,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2672" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2453" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38662,7 +38647,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2673" name="__module.up_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="2454" name="__module.up_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38684,52 +38669,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2674" name="__module.up_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="594679484" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2675" name="__module.up_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="594679488" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2676" name="__module.up_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="594679484" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2677" name="__module.up_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="594679488" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2678" name="__module.up_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2679" name="__module.up_blocks.1.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="2455" name="__module.up_blocks.1.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38745,21 +38685,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2680" name="Constant_73214" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="6826524" size="24" />
+		<layer id="2456" name="Constant_73214" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="6825172" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2681" name="Constant_73215" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="940816" size="8" />
+		<layer id="2457" name="Constant_73215" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="940160" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2682" name="Gather_73216" type="Gather" version="opset8">
+		<layer id="2458" name="Gather_73216" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -38776,15 +38716,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2683" name="Constant_28810" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="107628952" size="8" />
+		<layer id="2459" name="Constant_28810" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="107613892" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2684" name="__module.up_blocks.1.attentions.0/prim::ListConstruct_1" type="Concat" version="opset1">
+		<layer id="2460" name="__module.up_blocks.1.attentions.0/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -38800,7 +38740,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2685" name="__module.up_blocks.1.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2461" name="__module.up_blocks.1.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38821,15 +38761,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2686" name="Constant_28819" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="6826556" size="32" />
+		<layer id="2462" name="Constant_28819" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="6825204" size="32" />
 			<output>
 				<port id="0" precision="I64" names="2217">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2687" name="__module.up_blocks.1.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2463" name="__module.up_blocks.1.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -38850,10 +38790,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2688" name="Constant_1241815" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 1, 1" offset="594679492" size="1638400" />
+		<layer id="2464" name="self.up_blocks.1.attentions.0.proj_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 1, 1" offset="594625756" size="1638400" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -38861,10 +38801,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2689" name="Convert_1241816" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2465" name="Convert_117678" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -38872,7 +38812,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -38880,10 +38820,29 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2690" name="Constant_1241817" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="596317892" size="5120" />
+		<layer id="2466" name="self.up_blocks.1.attentions.0.proj_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="596264156" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2467" name="Convert_117681" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -38891,16 +38850,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2691" name="__module.up_blocks.1.attentions.0.proj_out/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2468" name="self.up_blocks.1.attentions.0.proj_out.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -38908,7 +38867,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2469" name="self.up_blocks.1.attentions.0.proj_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="596265436" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2470" name="self.up_blocks.1.attentions.0.proj_out.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -38916,7 +38911,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2692" name="__module.up_blocks.1.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2471" name="self.up_blocks.1.attentions.0.proj_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2472" name="__module.up_blocks.1.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38941,8 +38955,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2693" name="__module.up_blocks.1.attentions.0.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="596323012" size="5120" />
+		<layer id="2473" name="__module.up_blocks.1.attentions.0.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="596267996" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -38952,7 +38966,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2694" name="__module.up_blocks.1.attentions.0.proj_out/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2474" name="__module.up_blocks.1.attentions.0.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38977,7 +38991,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2695" name="__module.up_blocks.1.attentions.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="2475" name="__module.up_blocks.1.attentions.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39002,7 +39016,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2696" name="__module.up_blocks.1/aten::cat/Concat_1" type="Concat" version="opset1">
+		<layer id="2476" name="__module.up_blocks.1/aten::cat/Concat_1" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39027,76 +39041,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2697" name="__module.up_blocks.1.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="596328132" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2698" name="__module.up_blocks.1.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="596328136" size="4" />
+		<layer id="2477" name="self.up_blocks.1.resnets.1.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 2560, 1, 1" offset="596273116" size="3276800" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2699" name="__module.up_blocks.1.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="596328132" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2700" name="__module.up_blocks.1.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="596328136" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2701" name="__module.up_blocks.1.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2478" name="Convert_117073" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
 					<dim>2560</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
 					<dim>2560</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2702" name="Constant_1241819" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 2560, 1, 1" offset="596328140" size="3276800" />
+		<layer id="2479" name="self.up_blocks.1.resnets.1.conv_shortcut.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="599549916" size="1280" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>2560</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2703" name="Convert_1241820" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2480" name="Convert_117076" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2481" name="self.up_blocks.1.resnets.1.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
@@ -39104,10 +39126,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2704" name="Constant_1241821" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="599604940" size="5120" />
+		<layer id="2482" name="self.up_blocks.1.resnets.1.conv_shortcut.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="599551196" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -39115,16 +39137,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2705" name="__module.up_blocks.1.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2483" name="self.up_blocks.1.resnets.1.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -39132,7 +39154,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2484" name="self.up_blocks.1.resnets.1.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
@@ -39140,7 +39181,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2706" name="__module.up_blocks.1.resnets.1.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2485" name="__module.up_blocks.1.resnets.1.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39165,8 +39206,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2707" name="__module.up_blocks.1.resnets.1.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="599610060" size="5120" />
+		<layer id="2486" name="__module.up_blocks.1.resnets.1.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="599553756" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -39176,7 +39217,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2708" name="__module.up_blocks.1.resnets.1.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2487" name="__module.up_blocks.1.resnets.1.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39201,23 +39242,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2709" name="self.up_blocks.1.resnets.1.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="2560" offset="599615180" size="10240" />
+		<layer id="2488" name="self.up_blocks.1.resnets.1.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="2560" offset="599558876" size="10240" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.1.resnets.1.norm1.weight">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2710" name="self.up_blocks.1.resnets.1.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="2560" offset="599625420" size="10240" />
+		<layer id="2489" name="self.up_blocks.1.resnets.1.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="2560" offset="599569116" size="10240" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.1.resnets.1.norm1.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2711" name="__module.up_blocks.1.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="2490" name="__module.up_blocks.1.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39242,7 +39283,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2712" name="__module.conv_act/aten::silu/Swish_43" type="Swish" version="opset4">
+		<layer id="2491" name="__module.conv_act/aten::silu/Swish_43" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -39260,76 +39301,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2713" name="__module.conv_act/aten::silu/Swish_43/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="599635660" size="4" />
+		<layer id="2492" name="self.up_blocks.1.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 2560, 3, 3" offset="599579356" size="29491200" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2714" name="__module.conv_act/aten::silu/Swish_43/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="599635664" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2715" name="__module.conv_act/aten::silu/Swish_43/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="599635660" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2716" name="__module.conv_act/aten::silu/Swish_43/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="599635664" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2717" name="__module.conv_act/aten::silu/Swish_43/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2493" name="Convert_116501" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
 					<dim>2560</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
 					<dim>2560</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2718" name="Constant_1241823" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 2560, 3, 3" offset="599635668" size="29491200" />
+		<layer id="2494" name="self.up_blocks.1.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="629070556" size="1280" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>2560</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2719" name="Convert_1241824" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2495" name="Convert_116504" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2496" name="self.up_blocks.1.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
@@ -39337,10 +39386,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2720" name="Constant_1241825" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="629126868" size="5120" />
+		<layer id="2497" name="self.up_blocks.1.resnets.1.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="629071836" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -39348,16 +39397,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2721" name="__module.up_blocks.1.resnets.1.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2498" name="self.up_blocks.1.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -39365,7 +39414,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2499" name="self.up_blocks.1.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
@@ -39373,7 +39441,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2722" name="__module.up_blocks.1.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2500" name="__module.up_blocks.1.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39398,8 +39466,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2723" name="__module.up_blocks.1.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="629131988" size="5120" />
+		<layer id="2501" name="__module.up_blocks.1.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="629074396" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -39409,7 +39477,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2724" name="__module.up_blocks.1.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2502" name="__module.up_blocks.1.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39434,8 +39502,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2725" name="self.up_blocks.1.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="629137108" size="1638400" />
+		<layer id="2503" name="self.up_blocks.1.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="629079516" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -39443,7 +39511,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2726" name="Convert_229666" type="Convert" version="opset1">
+		<layer id="2504" name="Convert_117216" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -39458,8 +39526,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2727" name="self.up_blocks.1.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="630775508" size="1280" />
+		<layer id="2505" name="self.up_blocks.1.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="630717916" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -39467,7 +39535,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2728" name="Convert_229669" type="Convert" version="opset1">
+		<layer id="2506" name="Convert_117219" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -39482,7 +39550,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2729" name="self.up_blocks.1.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2507" name="self.up_blocks.1.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -39501,8 +39569,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2730" name="self.up_blocks.1.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="630776788" size="2560" />
+		<layer id="2508" name="self.up_blocks.1.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="630719196" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -39510,7 +39578,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2731" name="self.up_blocks.1.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2509" name="self.up_blocks.1.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -39529,7 +39597,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2732" name="self.up_blocks.1.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2510" name="self.up_blocks.1.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -39544,7 +39612,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2733" name="__module.up_blocks.1.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2511" name="__module.up_blocks.1.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39563,8 +39631,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2734" name="Constant_77026" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280" offset="630779348" size="5120" />
+		<layer id="2512" name="Constant_77026" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="630721756" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -39572,7 +39640,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2735" name="__module.up_blocks.1.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2513" name="__module.up_blocks.1.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39591,7 +39659,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2736" name="__module.up_blocks.1.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="2514" name="__module.up_blocks.1.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -39607,7 +39675,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2737" name="__module.up_blocks.1.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2515" name="__module.up_blocks.1.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -39625,7 +39693,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2738" name="__module.up_blocks.1.resnets.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="2516" name="__module.up_blocks.1.resnets.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39650,23 +39718,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2739" name="self.up_blocks.1.resnets.1.norm2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="630784468" size="5120" />
+		<layer id="2517" name="self.up_blocks.1.resnets.1.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="630726876" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.1.resnets.1.norm2.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2740" name="self.up_blocks.1.resnets.1.norm2.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="630789588" size="5120" />
+		<layer id="2518" name="self.up_blocks.1.resnets.1.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="630731996" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.1.resnets.1.norm2.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2741" name="__module.up_blocks.1.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="2519" name="__module.up_blocks.1.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39691,7 +39759,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2742" name="__module.conv_act/aten::silu/Swish_45" type="Swish" version="opset4">
+		<layer id="2520" name="__module.conv_act/aten::silu/Swish_45" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -39709,76 +39777,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2743" name="__module.conv_act/aten::silu/Swish_45/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="2521" name="self.up_blocks.1.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="630737116" size="14745600" />
 			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="2744" name="__module.conv_act/aten::silu/Swish_45/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="433454424" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2745" name="__module.conv_act/aten::silu/Swish_45/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="2522" name="Convert_116710" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2746" name="__module.conv_act/aten::silu/Swish_45/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="433454424" size="4" />
+		<layer id="2523" name="self.up_blocks.1.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="645482716" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="2747" name="__module.conv_act/aten::silu/Swish_45/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2524" name="Convert_116713" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
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+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2748" name="Constant_1241827" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="630794708" size="14745600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="2525" name="self.up_blocks.1.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
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-		<layer id="2749" name="Convert_1241828" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -39786,10 +39862,10 @@
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 			</output>
 		</layer>
-		<layer id="2750" name="Constant_1241829" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="645540308" size="5120" />
+		<layer id="2526" name="self.up_blocks.1.resnets.1.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="645483996" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -39797,16 +39873,16 @@
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 			</output>
 		</layer>
-		<layer id="2751" name="__module.up_blocks.1.resnets.1.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2527" name="self.up_blocks.1.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -39814,7 +39890,7 @@
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 			<output>
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 					<dim>3</dim>
@@ -39822,7 +39898,26 @@
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 		</layer>
-		<layer id="2752" name="__module.up_blocks.1.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2528" name="self.up_blocks.1.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2529" name="__module.up_blocks.1.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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@@ -39847,8 +39942,8 @@
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-			<data element_type="f32" shape="1, 1280, 1, 1" offset="645545428" size="5120" />
+		<layer id="2530" name="__module.up_blocks.1.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="645486556" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -39858,7 +39953,7 @@
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 		</layer>
-		<layer id="2754" name="__module.up_blocks.1.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
@@ -39883,7 +39978,7 @@
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 			</output>
 		</layer>
-		<layer id="2755" name="__module.up_blocks.1.resnets.1/aten::add/Add_1" type="Add" version="opset1">
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 			<data auto_broadcast="numpy" />
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@@ -39908,23 +40003,23 @@
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-			<data element_type="f32" shape="1280" offset="645550548" size="5120" />
+		<layer id="2533" name="self.up_blocks.1.attentions.1.norm.weight" type="Const" version="opset1">
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-			<data element_type="f32" shape="1280" offset="645555668" size="5120" />
+		<layer id="2534" name="self.up_blocks.1.attentions.1.norm.bias" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.1.attentions.1.norm.bias">
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 		</layer>
-		<layer id="2758" name="__module.up_blocks.1.attentions.1.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="2535" name="__module.up_blocks.1.attentions.1.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999999747524271e-07" />
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 				<port id="0" precision="FP32">
@@ -39949,76 +40044,84 @@
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 		</layer>
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-			<data element_type="f32" shape="" offset="645560792" size="4" />
+		<layer id="2536" name="self.up_blocks.1.attentions.1.proj_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 1, 1" offset="645501916" size="1638400" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="2761" name="__module.up_blocks.1.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="645560788" size="4" />
+		<layer id="2537" name="Convert_117689" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2762" name="__module.up_blocks.1.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="645560792" size="4" />
+		<layer id="2538" name="self.up_blocks.1.attentions.1.proj_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="647140316" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2539" name="Convert_117692" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2764" name="Constant_1241831" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 1, 1" offset="645560796" size="1638400" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="2540" name="self.up_blocks.1.attentions.1.proj_in.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
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-		<layer id="2765" name="Convert_1241832" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -40026,10 +40129,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2766" name="Constant_1241833" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="647199196" size="5120" />
+		<layer id="2541" name="self.up_blocks.1.attentions.1.proj_in.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="647141596" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
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 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -40037,16 +40140,16 @@
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 			</output>
 		</layer>
-		<layer id="2767" name="__module.up_blocks.1.attentions.1.proj_in/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -40054,7 +40157,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2543" name="self.up_blocks.1.attentions.1.proj_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -40062,7 +40184,7 @@
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 			</output>
 		</layer>
-		<layer id="2768" name="__module.up_blocks.1.attentions.1.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2544" name="__module.up_blocks.1.attentions.1.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1280, 1, 1" offset="647204316" size="5120" />
+		<layer id="2545" name="__module.up_blocks.1.attentions.1.proj_in/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="647144156" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -40098,7 +40220,7 @@
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 			</output>
 		</layer>
-		<layer id="2770" name="__module.up_blocks.1.attentions.1.proj_in/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2546" name="__module.up_blocks.1.attentions.1.proj_in/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -40123,15 +40245,15 @@
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 		</layer>
-		<layer id="2771" name="Constant_29162" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4453520" size="32" />
+		<layer id="2547" name="Constant_29162" type="Const" version="opset1">
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 		</layer>
-		<layer id="2772" name="__module.up_blocks.1.attentions.1/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="2548" name="__module.up_blocks.1.attentions.1/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -40152,15 +40274,15 @@
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-			<data element_type="i64" shape="3" offset="76019232" size="24" />
+		<layer id="2549" name="Constant_79927" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="76004212" size="24" />
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 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="2774" name="__module.up_blocks.1.attentions.1/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="2550" name="__module.up_blocks.1.attentions.1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -40181,15 +40303,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="2551" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="2776" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2552" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -40209,8 +40331,8 @@
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 		</layer>
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-			<data element_type="f32" shape="1, 1, 1280" offset="647209436" size="5120" />
+		<layer id="2553" name="Constant_77027" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="647149276" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -40219,7 +40341,7 @@
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 			</output>
 		</layer>
-		<layer id="2778" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2554" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -40241,8 +40363,8 @@
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 			</output>
 		</layer>
-		<layer id="2779" name="Constant_77028" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="647214556" size="5120" />
+		<layer id="2555" name="Constant_77028" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="647154396" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -40251,7 +40373,7 @@
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 		</layer>
-		<layer id="2780" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2556" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -40273,8 +40395,8 @@
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 		</layer>
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-			<data element_type="u8" shape="1280, 1280" offset="647219676" size="1638400" />
+		<layer id="2557" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="647159516" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -40282,7 +40404,7 @@
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 			</output>
 		</layer>
-		<layer id="2782" name="Convert_230073" type="Convert" version="opset1">
+		<layer id="2558" name="Convert_117722" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -40297,8 +40419,8 @@
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 		</layer>
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-			<data element_type="u8" shape="1280, 1" offset="648858076" size="1280" />
+		<layer id="2559" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="648797916" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -40306,7 +40428,7 @@
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 			</output>
 		</layer>
-		<layer id="2784" name="Convert_230076" type="Convert" version="opset1">
+		<layer id="2560" name="Convert_117725" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -40321,7 +40443,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="2561" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -40340,8 +40462,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2786" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="648859356" size="2560" />
+		<layer id="2562" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="648799196" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -40349,7 +40471,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2787" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2563" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -40368,7 +40490,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2788" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2564" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -40383,7 +40505,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="2565" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -40404,60 +40526,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2790" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="648861916" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2791" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="648861920" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2792" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="648861916" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2793" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="648861920" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2794" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2795" name="Constant_79928" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="2566" name="Constant_79928" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2796" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="2567" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -40478,15 +40555,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2797" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="2568" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2798" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
+		<layer id="2569" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -40507,8 +40584,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2799" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="648861924" size="1638400" />
+		<layer id="2570" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="648801756" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -40516,7 +40593,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2800" name="Convert_230062" type="Convert" version="opset1">
+		<layer id="2571" name="Convert_117711" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -40531,8 +40608,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2801" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="650500324" size="1280" />
+		<layer id="2572" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="650440156" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -40540,7 +40617,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2802" name="Convert_230065" type="Convert" version="opset1">
+		<layer id="2573" name="Convert_117714" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -40555,7 +40632,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2803" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2574" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -40574,8 +40651,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2804" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="650501604" size="2560" />
+		<layer id="2575" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="650441436" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -40583,7 +40660,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2805" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2576" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -40602,7 +40679,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2806" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2577" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -40617,7 +40694,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2807" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2578" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -40638,60 +40715,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2808" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="650504164" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2809" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="650504168" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2810" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="650504164" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2811" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="650504168" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2812" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>1280</dim>
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-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2813" name="Constant_79929" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="2579" name="Constant_79929" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2814" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2580" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -40712,15 +40744,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2815" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="2581" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2816" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2582" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -40741,8 +40773,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2817" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="650504172" size="1638400" />
+		<layer id="2583" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="650443996" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -40750,7 +40782,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2818" name="Convert_230051" type="Convert" version="opset1">
+		<layer id="2584" name="Convert_117700" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -40765,8 +40797,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2819" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="652142572" size="1280" />
+		<layer id="2585" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="652082396" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -40774,7 +40806,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2820" name="Convert_230054" type="Convert" version="opset1">
+		<layer id="2586" name="Convert_117703" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -40789,7 +40821,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2821" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2587" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -40808,8 +40840,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2822" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="652143852" size="2560" />
+		<layer id="2588" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="652083676" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -40817,7 +40849,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2823" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2589" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -40836,7 +40868,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2824" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2590" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -40851,7 +40883,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="2591" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
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@@ -40901,15 +40933,15 @@
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@@ -40930,7 +40962,7 @@
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@@ -40961,15 +40993,15 @@
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@@ -40990,15 +41022,15 @@
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@@ -41019,285 +41051,8 @@
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@@ -41305,7 +41060,7 @@
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 			<input>
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@@ -41320,8 +41075,8 @@
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@@ -41329,7 +41084,7 @@
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 			<input>
 				<port id="0" precision="U8">
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@@ -41372,7 +41127,7 @@
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@@ -41391,7 +41146,7 @@
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@@ -41406,7 +41161,7 @@
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+					<dim>-1</dim>
+					<dim>1280</dim>
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+					<dim>1280</dim>
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+					<dim>1</dim>
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+		<layer id="2622" name="Convert_117747" type="Convert" version="opset1">
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+				<port id="0" precision="U8">
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 		</layer>
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+		<layer id="2623" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
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+					<dim>1280</dim>
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 		</layer>
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+					<dim>1</dim>
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 		</layer>
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-			<data element_type="f32" shape="" offset="655446252" size="4" />
+		<layer id="2625" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
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+					<dim>1280</dim>
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+				<port id="2" precision="FP16">
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+					<dim>1280</dim>
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="655446256" size="4" />
+		<layer id="2626" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
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+			<input>
+				<port id="0" precision="FP16">
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+					<dim>1280</dim>
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 			<output>
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+					<dim>1280</dim>
+					<dim>1280</dim>
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 			</output>
 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2627" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1280</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2369,query.35">
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 					<dim>-1</dim>
 					<dim>1280</dim>
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 				<port id="0" precision="FP32">
@@ -41493,15 +41480,15 @@
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 		</layer>
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+		<layer id="2629" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
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 				<port id="0" precision="I32">
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 		</layer>
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -41522,8 +41509,8 @@
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 		</layer>
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+		<layer id="2631" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
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 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -41531,7 +41518,7 @@
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 			</output>
 		</layer>
-		<layer id="2871" name="Convert_230315" type="Convert" version="opset1">
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 				<port id="0" precision="U8">
@@ -41546,8 +41533,8 @@
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 		</layer>
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+		<layer id="2633" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
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 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -41555,7 +41542,7 @@
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 			</output>
 		</layer>
-		<layer id="2873" name="Convert_230318" type="Convert" version="opset1">
+		<layer id="2634" name="Convert_118011" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -41570,7 +41557,7 @@
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 			</output>
 		</layer>
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+		<layer id="2635" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -41589,8 +41576,8 @@
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 			</output>
 		</layer>
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+		<layer id="2636" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -41598,7 +41585,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -41617,7 +41604,7 @@
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 			</output>
 		</layer>
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 			<input>
 				<port id="0" precision="FP16">
@@ -41632,7 +41619,7 @@
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 		</layer>
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@@ -41653,60 +41640,15 @@
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 		</layer>
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-		<layer id="2884" name="Constant_79932" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="2640" name="Constant_79932" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
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 				<port id="0" precision="I64">
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 		</layer>
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 			<data special_zero="true" />
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@@ -41727,15 +41669,15 @@
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 		</layer>
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 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
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@@ -41756,8 +41698,8 @@
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-			<data element_type="u8" shape="1280, 768" offset="656433148" size="983040" />
+		<layer id="2644" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="656372956" size="983040" />
 			<output>
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@@ -41765,7 +41707,7 @@
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 			</output>
 		</layer>
-		<layer id="2889" name="Convert_230304" type="Convert" version="opset1">
+		<layer id="2645" name="Convert_117997" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -41780,8 +41722,8 @@
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-			<data element_type="u8" shape="1280, 1" offset="657416188" size="1280" />
+		<layer id="2646" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="657355996" size="1280" />
 			<output>
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@@ -41789,7 +41731,7 @@
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 			</output>
 		</layer>
-		<layer id="2891" name="Convert_230307" type="Convert" version="opset1">
+		<layer id="2647" name="Convert_118000" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -41804,7 +41746,7 @@
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 			<data auto_broadcast="numpy" />
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@@ -41823,8 +41765,8 @@
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-			<data element_type="f16" shape="1280, 1" offset="657417468" size="2560" />
+		<layer id="2649" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
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 			<output>
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@@ -41832,7 +41774,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -41851,7 +41793,7 @@
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 			<input>
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@@ -41866,7 +41808,7 @@
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@@ -41887,15 +41829,15 @@
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-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="2653" name="Constant_79933" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
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 			<data special_zero="true" />
 			<input>
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@@ -41916,15 +41858,15 @@
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
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 			<input>
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@@ -41945,7 +41887,7 @@
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+		<layer id="2657" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
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@@ -41976,15 +41918,15 @@
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -42005,15 +41947,15 @@
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-			<data element_type="i64" shape="3" offset="80956264" size="24" />
+		<layer id="2660" name="Constant_79934" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="80941228" size="24" />
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+		<layer id="2661" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42034,8 +41976,8 @@
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-			<data element_type="u8" shape="1280, 1280" offset="657420028" size="1638400" />
+		<layer id="2662" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="657359836" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
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@@ -42043,7 +41985,7 @@
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 		</layer>
-		<layer id="2907" name="Convert_230106" type="Convert" version="opset1">
+		<layer id="2663" name="Convert_117755" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -42058,8 +42000,8 @@
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-			<data element_type="u8" shape="1280, 1" offset="659058428" size="1280" />
+		<layer id="2664" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="658998236" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -42067,7 +42009,7 @@
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 			</output>
 		</layer>
-		<layer id="2909" name="Convert_230109" type="Convert" version="opset1">
+		<layer id="2665" name="Convert_117758" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -42082,7 +42024,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -42101,8 +42043,8 @@
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-			<data element_type="f16" shape="1280, 1" offset="659059708" size="2560" />
+		<layer id="2667" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="658999516" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -42110,7 +42052,7 @@
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+		<layer id="2668" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -42129,7 +42071,7 @@
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 		</layer>
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 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -42144,7 +42086,7 @@
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 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42165,8 +42107,8 @@
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-		<layer id="2915" name="Constant_77032" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="659062268" size="5120" />
+		<layer id="2671" name="Constant_77032" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32">
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@@ -42175,7 +42117,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42197,7 +42139,7 @@
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 		</layer>
-		<layer id="2917" name="__module.up_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42219,15 +42161,15 @@
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
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 			<output>
 				<port id="0" precision="I32">
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 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42247,8 +42189,8 @@
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-		<layer id="2920" name="Constant_77033" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="659067388" size="5120" />
+		<layer id="2676" name="Constant_77033" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32">
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@@ -42257,7 +42199,7 @@
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42279,8 +42221,8 @@
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-		<layer id="2922" name="Constant_77034" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="659072508" size="5120" />
+		<layer id="2678" name="Constant_77034" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="659012316" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42311,8 +42253,8 @@
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@@ -42320,7 +42262,7 @@
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -42335,8 +42277,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="10240, 1" offset="672184828" size="10240" />
+		<layer id="2682" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="672124636" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -42344,7 +42286,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2927" name="Convert_229482" type="Convert" version="opset1">
+		<layer id="2683" name="Convert_116790" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -42359,7 +42301,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2928" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2684" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -42378,8 +42320,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2929" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="672195068" size="20480" />
+		<layer id="2685" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="672134876" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -42387,7 +42329,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2930" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2686" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -42406,7 +42348,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2931" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2687" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -42421,7 +42363,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2932" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2688" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42442,8 +42384,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2933" name="Constant_77035" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="672215548" size="40960" />
+		<layer id="2689" name="Constant_77035" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 10240" offset="672155356" size="40960" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -42452,7 +42394,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2934" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2690" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42474,7 +42416,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2935" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="2691" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42489,15 +42431,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2936" name="Constant_45183" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="6414668" size="4" />
+		<layer id="2692" name="Constant_45183" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="6413324" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2937" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
+		<layer id="2693" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -42512,7 +42454,7 @@
 				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="2938" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
+		<layer id="2694" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="I32" />
@@ -42522,7 +42464,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="2939" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+		<layer id="2695" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -42532,7 +42474,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="2940" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+		<layer id="2696" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -42546,7 +42488,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2941" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+		<layer id="2697" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="BOOL">
@@ -42559,7 +42501,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2942" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+		<layer id="2698" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -42573,15 +42515,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2943" name="Constant_45184" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="2699" name="Constant_45184" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2944" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+		<layer id="2700" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -42597,7 +42539,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2945" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+		<layer id="2701" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -42622,7 +42564,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2946" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="2702" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42639,7 +42581,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2947" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="2703" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42661,8 +42603,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2948" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 5120" offset="672256508" size="6553600" />
+		<layer id="2704" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 5120" offset="672196316" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -42670,7 +42612,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2949" name="Convert_229545" type="Convert" version="opset1">
+		<layer id="2705" name="Convert_116886" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -42685,8 +42627,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2950" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="678810108" size="1280" />
+		<layer id="2706" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="678749916" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -42694,7 +42636,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2951" name="Convert_229548" type="Convert" version="opset1">
+		<layer id="2707" name="Convert_116889" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -42709,7 +42651,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2952" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2708" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -42728,8 +42670,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2953" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="678811388" size="2560" />
+		<layer id="2709" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="678751196" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -42737,7 +42679,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2954" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2710" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -42756,7 +42698,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2955" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2711" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -42771,7 +42713,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2956" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2712" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42792,8 +42734,8 @@
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 			</output>
 		</layer>
-		<layer id="2957" name="Constant_77036" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="678813948" size="5120" />
+		<layer id="2713" name="Constant_77036" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="678753756" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -42802,7 +42744,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2958" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2714" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42824,7 +42766,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2959" name="__module.up_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="2715" name="__module.up_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42846,52 +42788,7 @@
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 			</output>
 		</layer>
-		<layer id="2960" name="__module.up_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="678819068" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2961" name="__module.up_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="678819072" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2962" name="__module.up_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="678819068" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2963" name="__module.up_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="678819072" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2964" name="__module.up_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
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-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2965" name="__module.up_blocks.1.attentions.1/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="2716" name="__module.up_blocks.1.attentions.1/aten::size/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42907,21 +42804,21 @@
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 			</output>
 		</layer>
-		<layer id="2966" name="Constant_73223" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="6826524" size="24" />
+		<layer id="2717" name="Constant_73223" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="6825172" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2967" name="Constant_73224" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="940816" size="8" />
+		<layer id="2718" name="Constant_73224" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="940160" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2968" name="Gather_73225" type="Gather" version="opset8">
+		<layer id="2719" name="Gather_73225" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -42938,15 +42835,15 @@
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 			</output>
 		</layer>
-		<layer id="2969" name="Constant_30459" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="107628952" size="8" />
+		<layer id="2720" name="Constant_30459" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="107613892" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="2970" name="__module.up_blocks.1.attentions.1/prim::ListConstruct_1" type="Concat" version="opset1">
+		<layer id="2721" name="__module.up_blocks.1.attentions.1/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -42962,7 +42859,7 @@
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 			</output>
 		</layer>
-		<layer id="2971" name="__module.up_blocks.1.attentions.1/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2722" name="__module.up_blocks.1.attentions.1/aten::reshape/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42983,15 +42880,15 @@
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 			</output>
 		</layer>
-		<layer id="2972" name="Constant_30468" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="6826556" size="32" />
+		<layer id="2723" name="Constant_30468" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="6825204" size="32" />
 			<output>
 				<port id="0" precision="I64" names="2426">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2973" name="__module.up_blocks.1.attentions.1/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2724" name="__module.up_blocks.1.attentions.1/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -43012,10 +42909,10 @@
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 			</output>
 		</layer>
-		<layer id="2974" name="Constant_1241835" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 1, 1" offset="678819076" size="1638400" />
+		<layer id="2725" name="self.up_blocks.1.attentions.1.proj_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 1, 1" offset="678758876" size="1638400" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -43023,10 +42920,10 @@
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 			</output>
 		</layer>
-		<layer id="2975" name="Convert_1241836" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2726" name="Convert_117766" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -43034,7 +42931,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -43042,10 +42939,29 @@
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 			</output>
 		</layer>
-		<layer id="2976" name="Constant_1241837" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="680457476" size="5120" />
+		<layer id="2727" name="self.up_blocks.1.attentions.1.proj_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="680397276" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2728" name="Convert_117769" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -43053,16 +42969,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2977" name="__module.up_blocks.1.attentions.1.proj_out/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2729" name="self.up_blocks.1.attentions.1.proj_out.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -43070,7 +42986,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -43078,7 +42994,62 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2978" name="__module.up_blocks.1.attentions.1.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2730" name="self.up_blocks.1.attentions.1.proj_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="680398556" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2731" name="self.up_blocks.1.attentions.1.proj_out.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2732" name="self.up_blocks.1.attentions.1.proj_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2733" name="__module.up_blocks.1.attentions.1.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43103,8 +43074,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2979" name="__module.up_blocks.1.attentions.1.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="680462596" size="5120" />
+		<layer id="2734" name="__module.up_blocks.1.attentions.1.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="680401116" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -43114,7 +43085,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2980" name="__module.up_blocks.1.attentions.1.proj_out/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2735" name="__module.up_blocks.1.attentions.1.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43139,7 +43110,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2981" name="__module.up_blocks.1.attentions.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="2736" name="__module.up_blocks.1.attentions.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43164,7 +43135,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2982" name="__module.up_blocks.1/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="2737" name="__module.up_blocks.1/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43189,76 +43160,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2983" name="__module.up_blocks.1.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="680467716" size="4" />
+		<layer id="2738" name="self.up_blocks.1.resnets.2.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1920, 1, 1" offset="680406236" size="2457600" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2984" name="__module.up_blocks.1.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="680467720" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2985" name="__module.up_blocks.1.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="680467716" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2986" name="__module.up_blocks.1.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="680467720" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2987" name="__module.up_blocks.1.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2739" name="Convert_117128" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
 					<dim>1920</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
 					<dim>1920</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2988" name="Constant_1241839" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1920, 1, 1" offset="680467724" size="2457600" />
+		<layer id="2740" name="self.up_blocks.1.resnets.2.conv_shortcut.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="682863836" size="1280" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>1920</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2989" name="Convert_1241840" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2741" name="Convert_117131" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2742" name="self.up_blocks.1.resnets.2.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1920</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1920</dim>
 					<dim>1</dim>
@@ -43266,10 +43245,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2990" name="Constant_1241841" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="682925324" size="5120" />
+		<layer id="2743" name="self.up_blocks.1.resnets.2.conv_shortcut.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="682865116" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -43277,16 +43256,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2991" name="__module.up_blocks.1.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2744" name="self.up_blocks.1.resnets.2.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1920</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -43294,7 +43273,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2745" name="self.up_blocks.1.resnets.2.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1920</dim>
 					<dim>1</dim>
@@ -43302,7 +43300,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2992" name="__module.up_blocks.1.resnets.2.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2746" name="__module.up_blocks.1.resnets.2.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43327,8 +43325,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2993" name="__module.up_blocks.1.resnets.2.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="682930444" size="5120" />
+		<layer id="2747" name="__module.up_blocks.1.resnets.2.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="682867676" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -43338,7 +43336,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2994" name="__module.up_blocks.1.resnets.2.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2748" name="__module.up_blocks.1.resnets.2.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43363,23 +43361,23 @@
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 			</output>
 		</layer>
-		<layer id="2995" name="self.up_blocks.1.resnets.2.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1920" offset="682935564" size="7680" />
+		<layer id="2749" name="self.up_blocks.1.resnets.2.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1920" offset="682872796" size="7680" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.1.resnets.2.norm1.weight">
 					<dim>1920</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2996" name="self.up_blocks.1.resnets.2.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="1920" offset="682943244" size="7680" />
+		<layer id="2750" name="self.up_blocks.1.resnets.2.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1920" offset="682880476" size="7680" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.1.resnets.2.norm1.bias">
 					<dim>1920</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2997" name="__module.up_blocks.1.resnets.2.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="2751" name="__module.up_blocks.1.resnets.2.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43404,7 +43402,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2998" name="__module.conv_act/aten::silu/Swish_46" type="Swish" version="opset4">
+		<layer id="2752" name="__module.conv_act/aten::silu/Swish_46" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -43422,76 +43420,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2999" name="__module.conv_act/aten::silu/Swish_46/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="682950924" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3000" name="__module.conv_act/aten::silu/Swish_46/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="682950928" size="4" />
+		<layer id="2753" name="self.up_blocks.1.resnets.2.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1920, 3, 3" offset="682888156" size="22118400" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3001" name="__module.conv_act/aten::silu/Swish_46/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="682950924" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3002" name="__module.conv_act/aten::silu/Swish_46/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="682950928" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3003" name="__module.conv_act/aten::silu/Swish_46/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2754" name="Convert_116512" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
 					<dim>1920</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
 					<dim>1920</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3004" name="Constant_1241843" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1920, 3, 3" offset="682950932" size="22118400" />
+		<layer id="2755" name="self.up_blocks.1.resnets.2.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="705006556" size="1280" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>1920</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3005" name="Convert_1241844" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2756" name="Convert_116515" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2757" name="self.up_blocks.1.resnets.2.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1920</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1920</dim>
 					<dim>3</dim>
@@ -43499,10 +43505,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3006" name="Constant_1241845" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="705069332" size="5120" />
+		<layer id="2758" name="self.up_blocks.1.resnets.2.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="705007836" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -43510,16 +43516,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3007" name="__module.up_blocks.1.resnets.2.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2759" name="self.up_blocks.1.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1920</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -43527,7 +43533,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2760" name="self.up_blocks.1.resnets.2.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1920</dim>
 					<dim>3</dim>
@@ -43535,7 +43560,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3008" name="__module.up_blocks.1.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2761" name="__module.up_blocks.1.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43560,8 +43585,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3009" name="__module.up_blocks.1.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="705074452" size="5120" />
+		<layer id="2762" name="__module.up_blocks.1.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="705010396" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -43571,7 +43596,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3010" name="__module.up_blocks.1.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2763" name="__module.up_blocks.1.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43596,8 +43621,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3011" name="self.up_blocks.1.resnets.2.time_emb_proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="705079572" size="1638400" />
+		<layer id="2764" name="self.up_blocks.1.resnets.2.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="705015516" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -43605,7 +43630,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3012" name="Convert_229655" type="Convert" version="opset1">
+		<layer id="2765" name="Convert_117205" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -43620,8 +43645,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3013" name="self.up_blocks.1.resnets.2.time_emb_proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="706717972" size="1280" />
+		<layer id="2766" name="self.up_blocks.1.resnets.2.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="706653916" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -43629,7 +43654,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3014" name="Convert_229658" type="Convert" version="opset1">
+		<layer id="2767" name="Convert_117208" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -43644,7 +43669,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3015" name="self.up_blocks.1.resnets.2.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2768" name="self.up_blocks.1.resnets.2.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -43663,8 +43688,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3016" name="self.up_blocks.1.resnets.2.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="706719252" size="2560" />
+		<layer id="2769" name="self.up_blocks.1.resnets.2.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="706655196" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -43672,7 +43697,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3017" name="self.up_blocks.1.resnets.2.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2770" name="self.up_blocks.1.resnets.2.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -43691,7 +43716,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3018" name="self.up_blocks.1.resnets.2.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2771" name="self.up_blocks.1.resnets.2.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -43706,7 +43731,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3019" name="__module.up_blocks.1.resnets.2.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2772" name="__module.up_blocks.1.resnets.2.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43725,8 +43750,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3020" name="Constant_77037" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280" offset="706721812" size="5120" />
+		<layer id="2773" name="Constant_77037" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="706657756" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -43734,7 +43759,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3021" name="__module.up_blocks.1.resnets.2.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2774" name="__module.up_blocks.1.resnets.2.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43753,7 +43778,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3022" name="__module.up_blocks.1.resnets.2/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="2775" name="__module.up_blocks.1.resnets.2/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -43769,7 +43794,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3023" name="__module.up_blocks.1.resnets.2/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2776" name="__module.up_blocks.1.resnets.2/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -43787,7 +43812,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3024" name="__module.up_blocks.1.resnets.2/aten::add/Add" type="Add" version="opset1">
+		<layer id="2777" name="__module.up_blocks.1.resnets.2/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43812,23 +43837,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3025" name="self.up_blocks.1.resnets.2.norm2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="706726932" size="5120" />
+		<layer id="2778" name="self.up_blocks.1.resnets.2.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="706662876" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.1.resnets.2.norm2.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3026" name="self.up_blocks.1.resnets.2.norm2.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="706732052" size="5120" />
+		<layer id="2779" name="self.up_blocks.1.resnets.2.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="706667996" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.1.resnets.2.norm2.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3027" name="__module.up_blocks.1.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="2780" name="__module.up_blocks.1.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43853,7 +43878,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3028" name="__module.conv_act/aten::silu/Swish_48" type="Swish" version="opset4">
+		<layer id="2781" name="__module.conv_act/aten::silu/Swish_48" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -43871,76 +43896,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3029" name="__module.conv_act/aten::silu/Swish_48/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="706737172" size="4" />
+		<layer id="2782" name="self.up_blocks.1.resnets.2.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="706673116" size="14745600" />
 			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="3030" name="__module.conv_act/aten::silu/Swish_48/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="706737176" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="706737172" size="4" />
+		<layer id="2783" name="Convert_116721" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3032" name="__module.conv_act/aten::silu/Swish_48/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="706737176" size="4" />
+		<layer id="2784" name="self.up_blocks.1.resnets.2.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="721418716" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3033" name="__module.conv_act/aten::silu/Swish_48/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2785" name="Convert_116724" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3034" name="Constant_1241847" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="706737180" size="14745600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="2786" name="self.up_blocks.1.resnets.2.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
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-		<layer id="3035" name="Convert_1241848" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -43948,10 +43981,10 @@
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 			</output>
 		</layer>
-		<layer id="3036" name="Constant_1241849" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="721482780" size="5120" />
+		<layer id="2787" name="self.up_blocks.1.resnets.2.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="721419996" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -43959,16 +43992,16 @@
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 			</output>
 		</layer>
-		<layer id="3037" name="__module.up_blocks.1.resnets.2.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2788" name="self.up_blocks.1.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
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 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -43976,7 +44009,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -43984,7 +44017,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3038" name="__module.up_blocks.1.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2789" name="self.up_blocks.1.resnets.2.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2790" name="__module.up_blocks.1.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44009,8 +44061,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3039" name="__module.up_blocks.1.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="721487900" size="5120" />
+		<layer id="2791" name="__module.up_blocks.1.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="721422556" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -44020,7 +44072,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3040" name="__module.up_blocks.1.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2792" name="__module.up_blocks.1.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44045,7 +44097,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3041" name="__module.up_blocks.1.resnets.2/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2793" name="__module.up_blocks.1.resnets.2/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44070,23 +44122,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3042" name="self.up_blocks.1.attentions.2.norm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="721493020" size="5120" />
+		<layer id="2794" name="self.up_blocks.1.attentions.2.norm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="721427676" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.1.attentions.2.norm.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1280" offset="721498140" size="5120" />
+		<layer id="2795" name="self.up_blocks.1.attentions.2.norm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="721432796" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.1.attentions.2.norm.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3044" name="__module.up_blocks.1.attentions.2.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="2796" name="__module.up_blocks.1.attentions.2.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44111,76 +44163,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3045" name="__module.up_blocks.1.attentions.2.norm/aten::group_norm/GroupNormalization/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="721503260" size="4" />
+		<layer id="2797" name="self.up_blocks.1.attentions.2.proj_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 1, 1" offset="721437916" size="1638400" />
 			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="3046" name="__module.up_blocks.1.attentions.2.norm/aten::group_norm/GroupNormalization/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="721503264" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3047" name="__module.up_blocks.1.attentions.2.norm/aten::group_norm/GroupNormalization/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="721503260" size="4" />
+		<layer id="2798" name="Convert_117777" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3048" name="__module.up_blocks.1.attentions.2.norm/aten::group_norm/GroupNormalization/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="721503264" size="4" />
+		<layer id="2799" name="self.up_blocks.1.attentions.2.proj_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="723076316" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3049" name="__module.up_blocks.1.attentions.2.norm/aten::group_norm/GroupNormalization/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="2800" name="Convert_117780" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3050" name="Constant_1241851" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 1, 1" offset="721503268" size="1638400" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="2801" name="self.up_blocks.1.attentions.2.proj_in.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
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-		<layer id="3051" name="Convert_1241852" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -44188,10 +44248,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3052" name="Constant_1241853" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="723141668" size="5120" />
+		<layer id="2802" name="self.up_blocks.1.attentions.2.proj_in.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="723077596" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -44199,16 +44259,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3053" name="__module.up_blocks.1.attentions.2.proj_in/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2803" name="self.up_blocks.1.attentions.2.proj_in.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -44216,7 +44276,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2804" name="self.up_blocks.1.attentions.2.proj_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -44224,7 +44303,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3054" name="__module.up_blocks.1.attentions.2.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2805" name="__module.up_blocks.1.attentions.2.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44249,8 +44328,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3055" name="__module.up_blocks.1.attentions.2.proj_in/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="723146788" size="5120" />
+		<layer id="2806" name="__module.up_blocks.1.attentions.2.proj_in/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="723080156" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -44260,7 +44339,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3056" name="__module.up_blocks.1.attentions.2.proj_in/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2807" name="__module.up_blocks.1.attentions.2.proj_in/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44285,15 +44364,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3057" name="Constant_30811" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4453520" size="32" />
+		<layer id="2808" name="Constant_30811" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4452208" size="32" />
 			<output>
 				<port id="0" precision="I64" names="2511">
 					<dim>4</dim>
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 			</output>
 		</layer>
-		<layer id="3058" name="__module.up_blocks.1.attentions.2/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="2809" name="__module.up_blocks.1.attentions.2/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -44314,15 +44393,15 @@
 				</port>
 			</output>
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+		<layer id="2810" name="Constant_79935" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>3</dim>
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 		</layer>
-		<layer id="3060" name="__module.up_blocks.1.attentions.2/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="2811" name="__module.up_blocks.1.attentions.2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44343,15 +44422,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="2812" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 			</output>
 		</layer>
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+		<layer id="2813" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44371,8 +44450,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1, 1280" offset="723151908" size="5120" />
+		<layer id="2814" name="Constant_77038" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -44381,7 +44460,7 @@
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 			</output>
 		</layer>
-		<layer id="3064" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2815" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44403,8 +44482,8 @@
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 			</output>
 		</layer>
-		<layer id="3065" name="Constant_77039" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="723157028" size="5120" />
+		<layer id="2816" name="Constant_77039" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="723090396" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -44413,7 +44492,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3066" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2817" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44435,8 +44514,8 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="1280, 1280" offset="723162148" size="1638400" />
+		<layer id="2818" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="723095516" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -44444,7 +44523,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3068" name="Convert_230139" type="Convert" version="opset1">
+		<layer id="2819" name="Convert_117810" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -44459,8 +44538,8 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="1280, 1" offset="724800548" size="1280" />
+		<layer id="2820" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="724733916" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -44468,7 +44547,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3070" name="Convert_230142" type="Convert" version="opset1">
+		<layer id="2821" name="Convert_117813" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -44483,7 +44562,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="2822" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -44502,8 +44581,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3072" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="724801828" size="2560" />
+		<layer id="2823" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="724735196" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -44511,7 +44590,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3073" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2824" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -44530,7 +44609,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3074" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2825" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -44545,7 +44624,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="2826" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44566,60 +44645,15 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="724804388" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="3077" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="724804392" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
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-		<layer id="3078" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="724804388" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="3079" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="724804392" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="3080" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
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-			<input>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-					<dim>-1</dim>
-					<dim>1280</dim>
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-		<layer id="3081" name="Constant_79936" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="2827" name="Constant_79936" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
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 			</output>
 		</layer>
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+		<layer id="2828" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44640,15 +44674,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="2829" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="2830" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -44669,8 +44703,8 @@
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 			</output>
 		</layer>
-		<layer id="3085" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="724804396" size="1638400" />
+		<layer id="2831" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="724737756" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -44678,7 +44712,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3086" name="Convert_230128" type="Convert" version="opset1">
+		<layer id="2832" name="Convert_117799" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -44693,8 +44727,8 @@
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 			</output>
 		</layer>
-		<layer id="3087" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="726442796" size="1280" />
+		<layer id="2833" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="726376156" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -44702,7 +44736,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3088" name="Convert_230131" type="Convert" version="opset1">
+		<layer id="2834" name="Convert_117802" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -44717,7 +44751,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -44736,8 +44770,8 @@
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 			</output>
 		</layer>
-		<layer id="3090" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="726444076" size="2560" />
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+			<data element_type="f16" shape="1280, 1" offset="726377436" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -44745,7 +44779,7 @@
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 			</output>
 		</layer>
-		<layer id="3091" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -44764,7 +44798,7 @@
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 			</output>
 		</layer>
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 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -44779,7 +44813,7 @@
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 			</output>
 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
@@ -44800,60 +44834,15 @@
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 		</layer>
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-		<layer id="3096" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
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+		<layer id="2841" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -44874,15 +44863,15 @@
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 		</layer>
-		<layer id="3101" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="2842" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
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 		</layer>
-		<layer id="3102" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2843" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -44903,8 +44892,8 @@
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 		</layer>
-		<layer id="3103" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="726446644" size="1638400" />
+		<layer id="2844" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="726379996" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -44912,7 +44901,7 @@
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 			</output>
 		</layer>
-		<layer id="3104" name="Convert_230117" type="Convert" version="opset1">
+		<layer id="2845" name="Convert_117788" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -44927,8 +44916,8 @@
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 		</layer>
-		<layer id="3105" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="728085044" size="1280" />
+		<layer id="2846" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="728018396" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -44936,7 +44925,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3106" name="Convert_230120" type="Convert" version="opset1">
+		<layer id="2847" name="Convert_117791" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -44951,7 +44940,7 @@
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 		</layer>
-		<layer id="3107" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2848" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -44970,8 +44959,8 @@
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 			</output>
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-		<layer id="3108" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="728086324" size="2560" />
+		<layer id="2849" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="728019676" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -44979,7 +44968,7 @@
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 		</layer>
-		<layer id="3109" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2850" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -44998,7 +44987,7 @@
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 		</layer>
-		<layer id="3110" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2851" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -45013,7 +45002,7 @@
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 			</output>
 		</layer>
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+		<layer id="2852" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45034,15 +45023,15 @@
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 		</layer>
-		<layer id="3112" name="Constant_79938" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="2853" name="Constant_79938" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
 			<output>
 				<port id="0" precision="I64">
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-		<layer id="3113" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
+		<layer id="2854" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45063,15 +45052,15 @@
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 			</output>
 		</layer>
-		<layer id="3114" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="2855" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
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 			</output>
 		</layer>
-		<layer id="3115" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2856" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -45092,7 +45081,7 @@
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 			</output>
 		</layer>
-		<layer id="3116" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="2857" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45123,15 +45112,15 @@
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 			</output>
 		</layer>
-		<layer id="3117" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="2858" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
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 			</output>
 		</layer>
-		<layer id="3118" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2859" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -45152,15 +45141,15 @@
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 			</output>
 		</layer>
-		<layer id="3119" name="Constant_79939" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="80956264" size="24" />
+		<layer id="2860" name="Constant_79939" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="80941228" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
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 		</layer>
-		<layer id="3120" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="2861" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45181,8 +45170,8 @@
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 			</output>
 		</layer>
-		<layer id="3121" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="728088884" size="1638400" />
+		<layer id="2862" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="728022236" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -45190,7 +45179,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3122" name="Convert_230150" type="Convert" version="opset1">
+		<layer id="2863" name="Convert_117821" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -45205,8 +45194,8 @@
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 			</output>
 		</layer>
-		<layer id="3123" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="729727284" size="1280" />
+		<layer id="2864" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="729660636" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -45214,7 +45203,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3124" name="Convert_230153" type="Convert" version="opset1">
+		<layer id="2865" name="Convert_117824" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -45229,7 +45218,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3125" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2866" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -45248,8 +45237,8 @@
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 			</output>
 		</layer>
-		<layer id="3126" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="729728564" size="2560" />
+		<layer id="2867" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="729661916" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -45257,7 +45246,7 @@
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 			</output>
 		</layer>
-		<layer id="3127" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2868" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -45276,7 +45265,7 @@
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 			</output>
 		</layer>
-		<layer id="3128" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2869" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -45291,7 +45280,7 @@
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 			</output>
 		</layer>
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+		<layer id="2870" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45312,8 +45301,8 @@
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 		</layer>
-		<layer id="3130" name="Constant_77040" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="729731124" size="5120" />
+		<layer id="2871" name="Constant_77040" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="729664476" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -45322,7 +45311,7 @@
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 			</output>
 		</layer>
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+		<layer id="2872" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45344,7 +45333,7 @@
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 			</output>
 		</layer>
-		<layer id="3132" name="__module.up_blocks.1.attentions.2.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45366,15 +45355,15 @@
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="2874" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="3134" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2875" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45394,8 +45383,8 @@
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 		</layer>
-		<layer id="3135" name="Constant_77041" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="729736244" size="5120" />
+		<layer id="2876" name="Constant_77041" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="729669596" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -45404,7 +45393,7 @@
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-		<layer id="3136" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2877" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45426,8 +45415,8 @@
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-		<layer id="3137" name="Constant_77042" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="729741364" size="5120" />
+		<layer id="2878" name="Constant_77042" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="729674716" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -45436,7 +45425,7 @@
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 			</output>
 		</layer>
-		<layer id="3138" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2879" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45458,8 +45447,8 @@
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+		<layer id="2880" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="729679836" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -45467,7 +45456,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3140" name="Convert_230161" type="Convert" version="opset1">
+		<layer id="2881" name="Convert_117832" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -45482,8 +45471,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3141" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="731384884" size="1280" />
+		<layer id="2882" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="731318236" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -45491,7 +45480,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3142" name="Convert_230164" type="Convert" version="opset1">
+		<layer id="2883" name="Convert_117835" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -45506,7 +45495,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3143" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2884" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -45525,8 +45514,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3144" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="731386164" size="2560" />
+		<layer id="2885" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="731319516" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -45534,7 +45523,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3145" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2886" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -45553,7 +45542,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3146" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2887" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -45568,7 +45557,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3147" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2888" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45589,52 +45578,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3148" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="731388724" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3149" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="731388728" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3150" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="731388724" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3151" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="731388728" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3152" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>1280</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
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-			</output>
-		</layer>
-		<layer id="3153" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="2889" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45655,15 +45599,15 @@
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 			</output>
 		</layer>
-		<layer id="3154" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="2890" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3155" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
+		<layer id="2891" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -45684,8 +45628,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3156" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 768" offset="731388732" size="983040" />
+		<layer id="2892" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="731322076" size="983040" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -45693,7 +45637,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3157" name="Convert_230337" type="Convert" version="opset1">
+		<layer id="2893" name="Convert_118030" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -45708,8 +45652,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3158" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="732371772" size="1280" />
+		<layer id="2894" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="732305116" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -45717,7 +45661,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3159" name="Convert_230340" type="Convert" version="opset1">
+		<layer id="2895" name="Convert_118033" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -45732,7 +45676,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3160" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2896" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -45751,8 +45695,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3161" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="732373052" size="2560" />
+		<layer id="2897" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="732306396" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -45760,7 +45704,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3162" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2898" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -45779,7 +45723,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3163" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2899" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -45794,7 +45738,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3164" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2900" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45815,60 +45759,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3165" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="732375612" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3166" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="732375616" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3167" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="732375612" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3168" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="732375616" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3169" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>77</dim>
-					<dim>1280</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>77</dim>
-					<dim>1280</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3170" name="Constant_79940" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="2901" name="Constant_79940" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3171" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2902" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45889,15 +45788,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3172" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="2903" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3173" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2904" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -45918,8 +45817,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3174" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 768" offset="732375620" size="983040" />
+		<layer id="2905" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="732308956" size="983040" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -45927,7 +45826,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3175" name="Convert_230326" type="Convert" version="opset1">
+		<layer id="2906" name="Convert_118019" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -45942,8 +45841,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3176" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="733358660" size="1280" />
+		<layer id="2907" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="733291996" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -45951,7 +45850,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3177" name="Convert_230329" type="Convert" version="opset1">
+		<layer id="2908" name="Convert_118022" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -45966,7 +45865,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3178" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2909" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -45985,8 +45884,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3179" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="733359940" size="2560" />
+		<layer id="2910" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="733293276" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -45994,7 +45893,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="2911" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
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@@ -46013,7 +45912,7 @@
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+		<layer id="2912" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
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@@ -46028,7 +45927,7 @@
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+		<layer id="2913" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
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@@ -46049,15 +45948,15 @@
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-		<layer id="3183" name="Constant_79941" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="77671744" size="32" />
+		<layer id="2914" name="Constant_79941" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77656716" size="32" />
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+		<layer id="2915" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -46078,15 +45977,15 @@
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-		<layer id="3185" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="2916" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
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+		<layer id="2917" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -46107,7 +46006,7 @@
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-		<layer id="3187" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="2918" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46138,15 +46037,15 @@
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="2919" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
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+		<layer id="2920" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -46167,15 +46066,15 @@
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-		<layer id="3190" name="Constant_79942" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="80956264" size="24" />
+		<layer id="2921" name="Constant_79942" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="80941228" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
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+		<layer id="2922" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46196,8 +46095,8 @@
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-		<layer id="3192" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1280" offset="733362500" size="1638400" />
+		<layer id="2923" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="733295836" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -46205,7 +46104,7 @@
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 			</output>
 		</layer>
-		<layer id="3193" name="Convert_230172" type="Convert" version="opset1">
+		<layer id="2924" name="Convert_117843" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -46220,8 +46119,8 @@
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-		<layer id="3194" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="735000900" size="1280" />
+		<layer id="2925" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="734934236" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -46229,7 +46128,7 @@
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 			</output>
 		</layer>
-		<layer id="3195" name="Convert_230175" type="Convert" version="opset1">
+		<layer id="2926" name="Convert_117846" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -46244,7 +46143,7 @@
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 			</output>
 		</layer>
-		<layer id="3196" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2927" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -46263,8 +46162,8 @@
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-		<layer id="3197" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="735002180" size="2560" />
+		<layer id="2928" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="734935516" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -46272,7 +46171,7 @@
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 			</output>
 		</layer>
-		<layer id="3198" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2929" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -46291,7 +46190,7 @@
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 			</output>
 		</layer>
-		<layer id="3199" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2930" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -46306,7 +46205,7 @@
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 			</output>
 		</layer>
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+		<layer id="2931" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46327,8 +46226,8 @@
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 			</output>
 		</layer>
-		<layer id="3201" name="Constant_77043" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="735004740" size="5120" />
+		<layer id="2932" name="Constant_77043" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="734938076" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -46337,7 +46236,7 @@
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 			</output>
 		</layer>
-		<layer id="3202" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2933" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46359,7 +46258,7 @@
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 			</output>
 		</layer>
-		<layer id="3203" name="__module.up_blocks.1.attentions.2.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2934" name="__module.up_blocks.1.attentions.2.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46381,15 +46280,15 @@
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 			</output>
 		</layer>
-		<layer id="3204" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="2935" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="3205" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2936" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46409,8 +46308,8 @@
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 			</output>
 		</layer>
-		<layer id="3206" name="Constant_77044" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="735009860" size="5120" />
+		<layer id="2937" name="Constant_77044" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="734943196" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -46419,7 +46318,7 @@
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 			</output>
 		</layer>
-		<layer id="3207" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2938" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46441,8 +46340,8 @@
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 			</output>
 		</layer>
-		<layer id="3208" name="Constant_77045" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="735014980" size="5120" />
+		<layer id="2939" name="Constant_77045" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="734948316" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -46451,7 +46350,7 @@
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 			</output>
 		</layer>
-		<layer id="3209" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2940" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46473,8 +46372,8 @@
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 			</output>
 		</layer>
-		<layer id="3210" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1280" offset="735020100" size="13107200" />
+		<layer id="2941" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1280" offset="734953436" size="13107200" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -46482,7 +46381,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3211" name="Convert_229490" type="Convert" version="opset1">
+		<layer id="2942" name="Convert_116798" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -46497,8 +46396,8 @@
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 			</output>
 		</layer>
-		<layer id="3212" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="748127300" size="10240" />
+		<layer id="2943" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="748060636" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -46506,7 +46405,7 @@
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 			</output>
 		</layer>
-		<layer id="3213" name="Convert_229493" type="Convert" version="opset1">
+		<layer id="2944" name="Convert_116801" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -46521,7 +46420,7 @@
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 			</output>
 		</layer>
-		<layer id="3214" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -46540,8 +46439,8 @@
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 			</output>
 		</layer>
-		<layer id="3215" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="748137540" size="20480" />
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+			<data element_type="f16" shape="10240, 1" offset="748070876" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -46549,7 +46448,7 @@
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 			</output>
 		</layer>
-		<layer id="3216" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -46568,7 +46467,7 @@
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 			</output>
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-		<layer id="3217" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2948" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -46583,7 +46482,7 @@
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 			</output>
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 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46604,8 +46503,8 @@
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-		<layer id="3219" name="Constant_77046" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="748158020" size="40960" />
+		<layer id="2950" name="Constant_77046" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -46614,7 +46513,7 @@
 				</port>
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 		</layer>
-		<layer id="3220" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2951" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46636,7 +46535,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3221" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="2952" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46651,15 +46550,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3222" name="Constant_45255" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="6414668" size="4" />
+		<layer id="2953" name="Constant_45255" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="6413324" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3223" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
+		<layer id="2954" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -46674,7 +46573,7 @@
 				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3224" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
+		<layer id="2955" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="I32" />
@@ -46684,7 +46583,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3225" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+		<layer id="2956" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -46694,7 +46593,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3226" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+		<layer id="2957" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -46708,7 +46607,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3227" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+		<layer id="2958" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="BOOL">
@@ -46721,7 +46620,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3228" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+		<layer id="2959" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -46735,15 +46634,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3229" name="Constant_45256" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="2960" name="Constant_45256" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3230" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+		<layer id="2961" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -46759,7 +46658,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3231" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+		<layer id="2962" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -46784,7 +46683,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3232" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="2963" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46801,7 +46700,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3233" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="2964" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46823,8 +46722,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3234" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 5120" offset="748198980" size="6553600" />
+		<layer id="2965" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 5120" offset="748132316" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -46832,7 +46731,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3235" name="Convert_229556" type="Convert" version="opset1">
+		<layer id="2966" name="Convert_116897" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -46847,8 +46746,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3236" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="1280, 1" offset="754752580" size="1280" />
+		<layer id="2967" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="754685916" size="1280" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>1280</dim>
@@ -46856,7 +46755,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3237" name="Convert_229559" type="Convert" version="opset1">
+		<layer id="2968" name="Convert_116900" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -46871,7 +46770,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3238" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2969" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -46890,8 +46789,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3239" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1" offset="754753860" size="2560" />
+		<layer id="2970" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="754687196" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -46899,7 +46798,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3240" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2971" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -46918,7 +46817,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3241" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2972" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -46933,7 +46832,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3242" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2973" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46954,8 +46853,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3243" name="Constant_77047" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1280" offset="754756420" size="5120" />
+		<layer id="2974" name="Constant_77047" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="754689756" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -46964,7 +46863,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3244" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2975" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46986,7 +46885,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3245" name="__module.up_blocks.1.attentions.2.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="2976" name="__module.up_blocks.1.attentions.2.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47008,52 +46907,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3246" name="__module.up_blocks.1.attentions.2.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="754761540" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="3247" name="__module.up_blocks.1.attentions.2.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="754761544" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3248" name="__module.up_blocks.1.attentions.2.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="754761540" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3249" name="__module.up_blocks.1.attentions.2.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="754761544" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3250" name="__module.up_blocks.1.attentions.2.transformer_blocks.0/aten::add/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
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-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1280</dim>
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-			</output>
-		</layer>
-		<layer id="3251" name="__module.up_blocks.1.attentions.2/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="2977" name="__module.up_blocks.1.attentions.2/aten::size/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47069,21 +46923,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3252" name="Constant_73232" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="6826524" size="24" />
+		<layer id="2978" name="Constant_73232" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="6825172" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3253" name="Constant_73233" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="940816" size="8" />
+		<layer id="2979" name="Constant_73233" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="940160" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3254" name="Gather_73234" type="Gather" version="opset8">
+		<layer id="2980" name="Gather_73234" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -47100,15 +46954,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3255" name="Constant_32108" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="107628952" size="8" />
+		<layer id="2981" name="Constant_32108" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="107613892" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3256" name="__module.up_blocks.1.attentions.2/prim::ListConstruct_1" type="Concat" version="opset1">
+		<layer id="2982" name="__module.up_blocks.1.attentions.2/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -47124,7 +46978,7 @@
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 			</output>
 		</layer>
-		<layer id="3257" name="__module.up_blocks.1.attentions.2/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2983" name="__module.up_blocks.1.attentions.2/aten::reshape/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47145,15 +46999,15 @@
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 			</output>
 		</layer>
-		<layer id="3258" name="Constant_32117" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="6826556" size="32" />
+		<layer id="2984" name="Constant_32117" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="6825204" size="32" />
 			<output>
 				<port id="0" precision="I64" names="2635">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3259" name="__module.up_blocks.1.attentions.2/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2985" name="__module.up_blocks.1.attentions.2/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -47174,10 +47028,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3260" name="Constant_1241855" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 1, 1" offset="754761548" size="1638400" />
+		<layer id="2986" name="self.up_blocks.1.attentions.2.proj_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 1, 1" offset="754694876" size="1638400" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -47185,10 +47039,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3261" name="Convert_1241856" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2987" name="Convert_117854" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -47196,7 +47050,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -47204,10 +47058,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3262" name="Constant_1241857" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="756399948" size="5120" />
+		<layer id="2988" name="self.up_blocks.1.attentions.2.proj_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="756333276" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -47215,16 +47069,35 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3263" name="__module.up_blocks.1.attentions.2.proj_out/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2989" name="Convert_117857" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2990" name="self.up_blocks.1.attentions.2.proj_out.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -47232,7 +47105,62 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2991" name="self.up_blocks.1.attentions.2.proj_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="756334556" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2992" name="self.up_blocks.1.attentions.2.proj_out.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2993" name="self.up_blocks.1.attentions.2.proj_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -47240,7 +47168,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3264" name="__module.up_blocks.1.attentions.2.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2994" name="__module.up_blocks.1.attentions.2.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47265,8 +47193,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3265" name="__module.up_blocks.1.attentions.2.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="756405068" size="5120" />
+		<layer id="2995" name="__module.up_blocks.1.attentions.2.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="756337116" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -47276,7 +47204,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3266" name="__module.up_blocks.1.attentions.2.proj_out/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2996" name="__module.up_blocks.1.attentions.2.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47301,7 +47229,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3267" name="__module.up_blocks.1.attentions.2/aten::add/Add" type="Add" version="opset1">
+		<layer id="2997" name="__module.up_blocks.1.attentions.2/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47326,70 +47254,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3268" name="__module.up_blocks.1.attentions.2/aten::add/Add/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="756410188" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3269" name="__module.up_blocks.1.attentions.2/aten::add/Add/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="756410192" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3270" name="__module.up_blocks.1.attentions.2/aten::add/Add/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="756410188" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3271" name="__module.up_blocks.1.attentions.2/aten::add/Add/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="756410192" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3272" name="__module.up_blocks.1.attentions.2/aten::add/Add/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3273" name="__module.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
-			<data element_type="f32" shape="2" offset="497432692" size="8" />
+		<layer id="2998" name="__module.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="497385420" size="8" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3274" name="Constant_32174" type="Const" version="opset1">
-			<data element_type="i32" shape="2" offset="497432700" size="8" />
+		<layer id="2999" name="Constant_32174" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="497385428" size="8" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3275" name="__module.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
+		<layer id="3000" name="__module.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
 			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47414,76 +47295,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3276" name="__module.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Interpolate/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="756410188" size="4" />
+		<layer id="3001" name="self.up_blocks.1.upsamplers.0.conv.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280, 3, 3" offset="756342236" size="14745600" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3277" name="__module.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Interpolate/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="756410192" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3278" name="__module.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Interpolate/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="756410188" size="4" />
+		<layer id="3002" name="Convert_116732" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3279" name="__module.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Interpolate/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="756410192" size="4" />
+		<layer id="3003" name="self.up_blocks.1.upsamplers.0.conv.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1, 1, 1" offset="771087836" size="1280" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3280" name="__module.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Interpolate/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3004" name="Convert_116735" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3281" name="Constant_1241859" type="Const" version="opset1">
-			<data element_type="i8" shape="1280, 1280, 3, 3" offset="756410196" size="14745600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="3005" name="self.up_blocks.1.upsamplers.0.conv.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3282" name="Convert_1241860" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>1280</dim>
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -47491,10 +47380,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3283" name="Constant_1241861" type="Const" version="opset1">
-			<data element_type="f32" shape="1280, 1, 1, 1" offset="771155796" size="5120" />
+		<layer id="3006" name="self.up_blocks.1.upsamplers.0.conv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1, 1, 1" offset="771089116" size="2560" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -47502,16 +47391,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3284" name="__module.up_blocks.1.upsamplers.0.conv/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3007" name="self.up_blocks.1.upsamplers.0.conv.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -47519,7 +47408,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -47527,7 +47416,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3285" name="__module.up_blocks.1.upsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3008" name="self.up_blocks.1.upsamplers.0.conv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3009" name="__module.up_blocks.1.upsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47552,8 +47460,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3286" name="__module.up_blocks.1.upsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1280, 1, 1" offset="771160916" size="5120" />
+		<layer id="3010" name="__module.up_blocks.1.upsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="771091676" size="5120" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -47563,7 +47471,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3287" name="__module.up_blocks.1.upsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3011" name="__module.up_blocks.1.upsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47588,7 +47496,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3288" name="__module.up_blocks.2/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="3012" name="__module.up_blocks.2/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47613,76 +47521,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3289" name="__module.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="771166036" size="4" />
+		<layer id="3013" name="self.up_blocks.2.resnets.0.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1920, 1, 1" offset="771096796" size="1228800" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3290" name="__module.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="771166040" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3291" name="__module.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="771166036" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3292" name="__module.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="771166040" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3293" name="__module.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3014" name="Convert_117898" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>640</dim>
 					<dim>1920</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
 					<dim>1920</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3294" name="Constant_1241863" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 1920, 1, 1" offset="771166044" size="1228800" />
+		<layer id="3015" name="self.up_blocks.2.resnets.0.conv_shortcut.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="772325596" size="640" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>640</dim>
-					<dim>1920</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3295" name="Convert_1241864" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="3016" name="Convert_117901" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3017" name="self.up_blocks.2.resnets.0.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1920</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>1920</dim>
 					<dim>1</dim>
@@ -47690,10 +47606,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3296" name="Constant_1241865" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="772394844" size="2560" />
+		<layer id="3018" name="self.up_blocks.2.resnets.0.conv_shortcut.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="772326236" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -47701,16 +47617,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3297" name="__module.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3019" name="self.up_blocks.2.resnets.0.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1920</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -47718,7 +47634,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3020" name="self.up_blocks.2.resnets.0.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>640</dim>
 					<dim>1920</dim>
 					<dim>1</dim>
@@ -47726,7 +47661,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3298" name="__module.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3021" name="__module.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47751,8 +47686,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3299" name="__module.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="772397404" size="2560" />
+		<layer id="3022" name="__module.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="772327516" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -47762,7 +47697,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3300" name="__module.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3023" name="__module.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47787,23 +47722,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3301" name="self.up_blocks.2.resnets.0.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1920" offset="772399964" size="7680" />
+		<layer id="3024" name="self.up_blocks.2.resnets.0.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1920" offset="772330076" size="7680" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.2.resnets.0.norm1.weight">
 					<dim>1920</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3302" name="self.up_blocks.2.resnets.0.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="1920" offset="772407644" size="7680" />
+		<layer id="3025" name="self.up_blocks.2.resnets.0.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1920" offset="772337756" size="7680" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.2.resnets.0.norm1.bias">
 					<dim>1920</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3303" name="__module.up_blocks.2.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="3026" name="__module.up_blocks.2.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47828,7 +47763,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3304" name="__module.conv_act/aten::silu/Swish_49" type="Swish" version="opset4">
+		<layer id="3027" name="__module.conv_act/aten::silu/Swish_49" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -47846,76 +47781,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3305" name="__module.conv_act/aten::silu/Swish_49/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="3028" name="self.up_blocks.2.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1920, 3, 3" offset="772345436" size="11059200" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3306" name="__module.conv_act/aten::silu/Swish_49/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="433454424" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3307" name="__module.conv_act/aten::silu/Swish_49/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3308" name="__module.conv_act/aten::silu/Swish_49/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="433454424" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1920</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3309" name="__module.conv_act/aten::silu/Swish_49/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3029" name="Convert_116809" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>640</dim>
 					<dim>1920</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
 					<dim>1920</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3310" name="Constant_1241867" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 1920, 3, 3" offset="772415324" size="11059200" />
+		<layer id="3030" name="self.up_blocks.2.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="783404636" size="640" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>640</dim>
-					<dim>1920</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3311" name="Convert_1241868" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="3031" name="Convert_116812" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3032" name="self.up_blocks.2.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1920</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>1920</dim>
 					<dim>3</dim>
@@ -47923,10 +47866,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3312" name="Constant_1241869" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="783474524" size="2560" />
+		<layer id="3033" name="self.up_blocks.2.resnets.0.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="783405276" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -47934,16 +47877,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3313" name="__module.up_blocks.2.resnets.0.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3034" name="self.up_blocks.2.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1920</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -47951,7 +47894,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>1920</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3035" name="self.up_blocks.2.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1920</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>640</dim>
 					<dim>1920</dim>
 					<dim>3</dim>
@@ -47959,7 +47921,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3314" name="__module.up_blocks.2.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3036" name="__module.up_blocks.2.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47984,8 +47946,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3315" name="__module.up_blocks.2.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="783477084" size="2560" />
+		<layer id="3037" name="__module.up_blocks.2.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="783406556" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -47995,7 +47957,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3316" name="__module.up_blocks.2.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3038" name="__module.up_blocks.2.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48020,8 +47982,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3317" name="self.up_blocks.2.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1280" offset="783479644" size="819200" />
+		<layer id="3039" name="self.up_blocks.2.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1280" offset="783409116" size="819200" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -48029,7 +47991,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3318" name="Convert_230403" type="Convert" version="opset1">
+		<layer id="3040" name="Convert_118184" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -48044,8 +48006,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3319" name="self.up_blocks.2.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="784298844" size="640" />
+		<layer id="3041" name="self.up_blocks.2.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="784228316" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -48053,7 +48015,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3320" name="Convert_230406" type="Convert" version="opset1">
+		<layer id="3042" name="Convert_118187" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -48068,7 +48030,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3321" name="self.up_blocks.2.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3043" name="self.up_blocks.2.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -48087,8 +48049,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3322" name="self.up_blocks.2.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="784299484" size="1280" />
+		<layer id="3044" name="self.up_blocks.2.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="784228956" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -48096,7 +48058,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3323" name="self.up_blocks.2.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3045" name="self.up_blocks.2.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -48115,7 +48077,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3324" name="self.up_blocks.2.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3046" name="self.up_blocks.2.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -48130,7 +48092,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3325" name="__module.up_blocks.2.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3047" name="__module.up_blocks.2.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48149,8 +48111,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3326" name="Constant_77048" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640" offset="784300764" size="2560" />
+		<layer id="3048" name="Constant_77048" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640" offset="784230236" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -48158,7 +48120,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3327" name="__module.up_blocks.2.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3049" name="__module.up_blocks.2.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48177,13 +48139,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3328" name="2671" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3419248" size="8" />
+		<layer id="3050" name="2671" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="3418592" size="8" />
 			<output>
 				<port id="0" precision="I64" names="2671" />
 			</output>
 		</layer>
-		<layer id="3329" name="__module.up_blocks.2.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="3051" name="__module.up_blocks.2.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -48199,13 +48161,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3330" name="2672" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3419256" size="8" />
+		<layer id="3052" name="2672" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="3418600" size="8" />
 			<output>
 				<port id="0" precision="I64" names="2672" />
 			</output>
 		</layer>
-		<layer id="3331" name="__module.up_blocks.2.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="3053" name="__module.up_blocks.2.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -48223,7 +48185,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3332" name="__module.up_blocks.2.resnets.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="3054" name="__module.up_blocks.2.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48248,23 +48210,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3333" name="self.up_blocks.2.resnets.0.norm2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="640" offset="784303324" size="2560" />
+		<layer id="3055" name="self.up_blocks.2.resnets.0.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="784232796" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.2.resnets.0.norm2.weight">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3334" name="self.up_blocks.2.resnets.0.norm2.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="640" offset="784305884" size="2560" />
+		<layer id="3056" name="self.up_blocks.2.resnets.0.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="784235356" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.2.resnets.0.norm2.bias">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3335" name="__module.up_blocks.2.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="3057" name="__module.up_blocks.2.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48289,7 +48251,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3336" name="__module.conv_act/aten::silu/Swish_51" type="Swish" version="opset4">
+		<layer id="3058" name="__module.conv_act/aten::silu/Swish_51" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -48307,76 +48269,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3337" name="__module.conv_act/aten::silu/Swish_51/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="3059" name="self.up_blocks.2.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640, 3, 3" offset="784237916" size="3686400" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3338" name="__module.conv_act/aten::silu/Swish_51/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="784308444" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3339" name="__module.conv_act/aten::silu/Swish_51/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="3060" name="Convert_116963" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3340" name="__module.conv_act/aten::silu/Swish_51/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="784308444" size="4" />
+		<layer id="3061" name="self.up_blocks.2.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="787924316" size="640" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3341" name="__module.conv_act/aten::silu/Swish_51/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3062" name="Convert_116966" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3342" name="Constant_1241871" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 640, 3, 3" offset="784308448" size="3686400" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="3063" name="self.up_blocks.2.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3343" name="Convert_1241872" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>640</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -48384,10 +48354,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3344" name="Constant_1241873" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="787994848" size="2560" />
+		<layer id="3064" name="self.up_blocks.2.resnets.0.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="787924956" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -48395,16 +48365,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3345" name="__module.up_blocks.2.resnets.0.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3065" name="self.up_blocks.2.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -48412,7 +48382,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -48420,7 +48390,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3346" name="__module.up_blocks.2.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3066" name="self.up_blocks.2.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3067" name="__module.up_blocks.2.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48445,8 +48434,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3347" name="__module.up_blocks.2.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="787997408" size="2560" />
+		<layer id="3068" name="__module.up_blocks.2.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="787926236" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -48456,7 +48445,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3348" name="__module.up_blocks.2.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3069" name="__module.up_blocks.2.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48481,7 +48470,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3349" name="__module.up_blocks.2.resnets.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3070" name="__module.up_blocks.2.resnets.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48506,23 +48495,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3350" name="self.up_blocks.2.attentions.0.norm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="640" offset="787999968" size="2560" />
+		<layer id="3071" name="self.up_blocks.2.attentions.0.norm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="787928796" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.2.attentions.0.norm.weight">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3351" name="self.up_blocks.2.attentions.0.norm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="640" offset="788002528" size="2560" />
+		<layer id="3072" name="self.up_blocks.2.attentions.0.norm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="787931356" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.2.attentions.0.norm.bias">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3352" name="__module.up_blocks.2.attentions.0.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="3073" name="__module.up_blocks.2.attentions.0.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48547,76 +48536,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3353" name="__module.up_blocks.2.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="788005088" size="4" />
+		<layer id="3074" name="self.up_blocks.2.attentions.0.proj_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640, 1, 1" offset="787933916" size="409600" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3354" name="__module.up_blocks.2.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="788005092" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3355" name="__module.up_blocks.2.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="788005088" size="4" />
+		<layer id="3075" name="Convert_118646" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3356" name="__module.up_blocks.2.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="788005092" size="4" />
+		<layer id="3076" name="self.up_blocks.2.attentions.0.proj_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="788343516" size="640" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3357" name="__module.up_blocks.2.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3077" name="Convert_118649" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3358" name="Constant_1241875" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 640, 1, 1" offset="788005096" size="409600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="3078" name="self.up_blocks.2.attentions.0.proj_in.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3359" name="Convert_1241876" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>640</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -48624,10 +48621,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3360" name="Constant_1241877" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="788414696" size="2560" />
+		<layer id="3079" name="self.up_blocks.2.attentions.0.proj_in.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="788344156" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -48635,16 +48632,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3361" name="__module.up_blocks.2.attentions.0.proj_in/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3080" name="self.up_blocks.2.attentions.0.proj_in.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -48652,7 +48649,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -48660,7 +48657,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3362" name="__module.up_blocks.2.attentions.0.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3081" name="self.up_blocks.2.attentions.0.proj_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3082" name="__module.up_blocks.2.attentions.0.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48685,8 +48701,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3363" name="__module.up_blocks.2.attentions.0.proj_in/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="788417256" size="2560" />
+		<layer id="3083" name="__module.up_blocks.2.attentions.0.proj_in/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="788345436" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -48696,7 +48712,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3364" name="__module.up_blocks.2.attentions.0.proj_in/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3084" name="__module.up_blocks.2.attentions.0.proj_in/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48721,15 +48737,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3365" name="Constant_32554" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4453520" size="32" />
+		<layer id="3085" name="Constant_32554" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4452208" size="32" />
 			<output>
 				<port id="0" precision="I64" names="2764">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3366" name="__module.up_blocks.2.attentions.0/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="3086" name="__module.up_blocks.2.attentions.0/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -48750,15 +48766,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3367" name="Constant_79943" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="19707328" size="24" />
+		<layer id="3087" name="Constant_79943" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="19701396" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3368" name="__module.up_blocks.2.attentions.0/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="3088" name="__module.up_blocks.2.attentions.0/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48779,15 +48795,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3369" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="3089" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3370" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3090" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48807,8 +48823,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3371" name="Constant_77049" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="788419816" size="2560" />
+		<layer id="3091" name="Constant_77049" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="788347996" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -48817,7 +48833,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3372" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3092" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48839,8 +48855,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3373" name="Constant_77050" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="788422376" size="2560" />
+		<layer id="3093" name="Constant_77050" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="788350556" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -48849,7 +48865,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3374" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3094" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48871,8 +48887,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3375" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 640" offset="788424936" size="409600" />
+		<layer id="3095" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="788353116" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -48880,7 +48896,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3376" name="Convert_230810" type="Convert" version="opset1">
+		<layer id="3096" name="Convert_118679" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -48895,8 +48911,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3377" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="788834536" size="640" />
+		<layer id="3097" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="788762716" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -48904,7 +48920,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3378" name="Convert_230813" type="Convert" version="opset1">
+		<layer id="3098" name="Convert_118682" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -48919,7 +48935,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3379" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3099" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -48938,8 +48954,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3380" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="788835176" size="1280" />
+		<layer id="3100" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="788763356" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -48947,7 +48963,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3381" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3101" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -48966,7 +48982,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3382" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3102" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -48981,7 +48997,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3383" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3103" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49002,60 +49018,15 @@
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 			</output>
 		</layer>
-		<layer id="3384" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="788836456" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="3385" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="788836460" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="3386" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="788836456" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="3387" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="788836460" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="3388" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
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-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
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-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-					<dim>-1</dim>
-					<dim>640</dim>
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-		<layer id="3389" name="Constant_79944" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="3104" name="Constant_79944" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="3390" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="3105" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49076,15 +49047,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3391" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3106" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3392" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
+		<layer id="3107" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -49105,8 +49076,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3393" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 640" offset="788836464" size="409600" />
+		<layer id="3108" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="788764636" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -49114,7 +49085,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3394" name="Convert_230799" type="Convert" version="opset1">
+		<layer id="3109" name="Convert_118668" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -49129,8 +49100,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3395" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="789246064" size="640" />
+		<layer id="3110" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="789174236" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -49138,7 +49109,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3396" name="Convert_230802" type="Convert" version="opset1">
+		<layer id="3111" name="Convert_118671" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -49153,7 +49124,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3397" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3112" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -49172,8 +49143,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3398" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="789246704" size="1280" />
+		<layer id="3113" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="789174876" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -49181,7 +49152,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3399" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3114" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -49200,7 +49171,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3400" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3115" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -49215,7 +49186,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3401" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3116" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49236,60 +49207,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3402" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="789247984" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3403" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="789247988" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3404" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="789247984" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3405" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="789247988" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3406" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>640</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3407" name="Constant_79945" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="3117" name="Constant_79945" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3408" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3118" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49310,15 +49236,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3409" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3119" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3410" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3120" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -49339,8 +49265,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3411" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 640" offset="789247992" size="409600" />
+		<layer id="3121" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="789176156" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -49348,7 +49274,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3412" name="Convert_230788" type="Convert" version="opset1">
+		<layer id="3122" name="Convert_118657" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -49363,8 +49289,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3413" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="789657592" size="640" />
+		<layer id="3123" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="789585756" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -49372,7 +49298,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3414" name="Convert_230791" type="Convert" version="opset1">
+		<layer id="3124" name="Convert_118660" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -49387,7 +49313,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3415" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3125" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -49406,8 +49332,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3416" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="789658232" size="1280" />
+		<layer id="3126" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="789586396" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -49415,7 +49341,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3417" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3127" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -49434,7 +49360,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3418" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3128" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -49449,7 +49375,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3419" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3129" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49470,15 +49396,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3420" name="Constant_79946" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="3130" name="Constant_79946" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3421" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
+		<layer id="3131" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49499,15 +49425,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3422" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3132" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3423" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3133" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -49528,7 +49454,7 @@
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 			</output>
 		</layer>
-		<layer id="3424" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="3134" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49559,15 +49485,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3425" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3135" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3426" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3136" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -49588,15 +49514,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3427" name="Constant_79947" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="20947080" size="24" />
+		<layer id="3137" name="Constant_79947" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="20941132" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3428" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="3138" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49617,8 +49543,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3429" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 640" offset="789659512" size="409600" />
+		<layer id="3139" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="789587676" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -49626,7 +49552,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3430" name="Convert_230821" type="Convert" version="opset1">
+		<layer id="3140" name="Convert_118690" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -49641,8 +49567,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3431" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="790069112" size="640" />
+		<layer id="3141" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="789997276" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -49650,7 +49576,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3432" name="Convert_230824" type="Convert" version="opset1">
+		<layer id="3142" name="Convert_118693" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -49665,7 +49591,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3433" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3143" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -49684,8 +49610,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3434" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="790069752" size="1280" />
+		<layer id="3144" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="789997916" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -49693,7 +49619,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3435" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3145" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -49712,7 +49638,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3436" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3146" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -49727,7 +49653,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3437" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3147" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49748,8 +49674,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3438" name="Constant_77051" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="790071032" size="2560" />
+		<layer id="3148" name="Constant_77051" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="789999196" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -49758,7 +49684,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3439" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3149" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49780,7 +49706,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3440" name="__module.up_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="3150" name="__module.up_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49802,15 +49728,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3441" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="3151" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3442" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3152" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49830,8 +49756,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3443" name="Constant_77052" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="790073592" size="2560" />
+		<layer id="3153" name="Constant_77052" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="790001756" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -49840,7 +49766,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3444" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3154" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49862,8 +49788,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3445" name="Constant_77053" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="790076152" size="2560" />
+		<layer id="3155" name="Constant_77053" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="790004316" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -49872,7 +49798,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3446" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3156" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49894,8 +49820,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3447" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 640" offset="790078712" size="409600" />
+		<layer id="3157" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="790006876" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -49903,7 +49829,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3448" name="Convert_230832" type="Convert" version="opset1">
+		<layer id="3158" name="Convert_118701" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -49918,8 +49844,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3449" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="790488312" size="640" />
+		<layer id="3159" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="790416476" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -49927,7 +49853,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3450" name="Convert_230835" type="Convert" version="opset1">
+		<layer id="3160" name="Convert_118704" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -49942,7 +49868,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3451" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3161" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -49961,8 +49887,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3452" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="790488952" size="1280" />
+		<layer id="3162" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="790417116" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -49970,7 +49896,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3453" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3163" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -49989,7 +49915,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3454" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3164" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -50004,7 +49930,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3455" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3165" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50025,52 +49951,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3456" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="790490232" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3457" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="790490236" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3458" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="790490232" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3459" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="790490236" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3460" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>640</dim>
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-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>640</dim>
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-			</output>
-		</layer>
-		<layer id="3461" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="3166" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50091,15 +49972,15 @@
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 			</output>
 		</layer>
-		<layer id="3462" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3167" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3463" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
+		<layer id="3168" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -50120,8 +50001,8 @@
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 			</output>
 		</layer>
-		<layer id="3464" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 768" offset="790490240" size="491520" />
+		<layer id="3169" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 768" offset="790418396" size="491520" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -50129,7 +50010,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3465" name="Convert_230513" type="Convert" version="opset1">
+		<layer id="3170" name="Convert_118327" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -50144,8 +50025,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3466" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="790981760" size="640" />
+		<layer id="3171" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="790909916" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -50153,7 +50034,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3467" name="Convert_230516" type="Convert" version="opset1">
+		<layer id="3172" name="Convert_118330" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -50168,7 +50049,7 @@
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 			</output>
 		</layer>
-		<layer id="3468" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3173" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -50187,8 +50068,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3469" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="790982400" size="1280" />
+		<layer id="3174" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="790910556" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -50196,7 +50077,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3470" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3175" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -50215,7 +50096,7 @@
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 			</output>
 		</layer>
-		<layer id="3471" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3176" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -50230,7 +50111,7 @@
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 			</output>
 		</layer>
-		<layer id="3472" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3177" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50251,60 +50132,15 @@
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 			</output>
 		</layer>
-		<layer id="3473" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="790983680" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3474" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="790983684" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3475" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="790983680" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3476" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="790983684" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3477" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>77</dim>
-					<dim>640</dim>
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-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
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-					<dim>-1</dim>
-					<dim>77</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3478" name="Constant_79948" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="3178" name="Constant_79948" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3479" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3179" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50325,15 +50161,15 @@
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 			</output>
 		</layer>
-		<layer id="3480" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3180" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3481" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3181" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -50354,8 +50190,8 @@
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 			</output>
 		</layer>
-		<layer id="3482" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 768" offset="790983688" size="491520" />
+		<layer id="3182" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 768" offset="790911836" size="491520" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -50363,7 +50199,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3483" name="Convert_230502" type="Convert" version="opset1">
+		<layer id="3183" name="Convert_118316" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -50378,8 +50214,8 @@
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 			</output>
 		</layer>
-		<layer id="3484" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="791475208" size="640" />
+		<layer id="3184" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="791403356" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -50387,7 +50223,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3485" name="Convert_230505" type="Convert" version="opset1">
+		<layer id="3185" name="Convert_118319" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -50402,7 +50238,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3486" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3186" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -50421,8 +50257,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3487" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="791475848" size="1280" />
+		<layer id="3187" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="791403996" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -50430,7 +50266,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3488" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3188" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -50449,7 +50285,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3489" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3189" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -50464,7 +50300,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3490" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3190" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50485,15 +50321,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3491" name="Constant_79949" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="3191" name="Constant_79949" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3492" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
+		<layer id="3192" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50514,15 +50350,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3493" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3193" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3494" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3194" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -50543,7 +50379,7 @@
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 			</output>
 		</layer>
-		<layer id="3495" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="3195" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50574,15 +50410,15 @@
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 			</output>
 		</layer>
-		<layer id="3496" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3196" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3497" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3197" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -50603,15 +50439,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3498" name="Constant_79950" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="20947080" size="24" />
+		<layer id="3198" name="Constant_79950" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="20941132" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3499" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="3199" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50632,8 +50468,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3500" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 640" offset="791477128" size="409600" />
+		<layer id="3200" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="791405276" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -50641,7 +50477,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3501" name="Convert_230843" type="Convert" version="opset1">
+		<layer id="3201" name="Convert_118712" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -50656,8 +50492,8 @@
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 			</output>
 		</layer>
-		<layer id="3502" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="791886728" size="640" />
+		<layer id="3202" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="791814876" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -50665,7 +50501,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3503" name="Convert_230846" type="Convert" version="opset1">
+		<layer id="3203" name="Convert_118715" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -50680,7 +50516,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3504" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3204" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -50699,8 +50535,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3505" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="791887368" size="1280" />
+		<layer id="3205" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="791815516" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -50708,7 +50544,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3506" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3206" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -50727,7 +50563,7 @@
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 			</output>
 		</layer>
-		<layer id="3507" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3207" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -50742,7 +50578,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3508" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
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 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50763,8 +50599,8 @@
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 			</output>
 		</layer>
-		<layer id="3509" name="Constant_77054" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="791888648" size="2560" />
+		<layer id="3209" name="Constant_77054" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="791816796" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -50773,7 +50609,7 @@
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 			</output>
 		</layer>
-		<layer id="3510" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3210" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50795,7 +50631,7 @@
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 			</output>
 		</layer>
-		<layer id="3511" name="__module.up_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3211" name="__module.up_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50817,15 +50653,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3512" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="3212" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3513" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3213" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50845,8 +50681,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3514" name="Constant_77055" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="791891208" size="2560" />
+		<layer id="3214" name="Constant_77055" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="791819356" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -50855,7 +50691,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3515" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3215" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50877,8 +50713,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3516" name="Constant_77056" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="791893768" size="2560" />
+		<layer id="3216" name="Constant_77056" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="791821916" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -50887,7 +50723,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3517" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3217" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50909,8 +50745,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3518" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="5120, 640" offset="791896328" size="3276800" />
+		<layer id="3218" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="5120, 640" offset="791824476" size="3276800" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>5120</dim>
@@ -50918,7 +50754,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3519" name="Convert_229589" type="Convert" version="opset1">
+		<layer id="3219" name="Convert_117084" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -50933,8 +50769,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3520" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="5120, 1" offset="795173128" size="5120" />
+		<layer id="3220" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="5120, 1" offset="795101276" size="5120" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>5120</dim>
@@ -50942,7 +50778,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3521" name="Convert_229592" type="Convert" version="opset1">
+		<layer id="3221" name="Convert_117087" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -50957,7 +50793,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3522" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3222" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -50976,8 +50812,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3523" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="5120, 1" offset="795178248" size="10240" />
+		<layer id="3223" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="5120, 1" offset="795106396" size="10240" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>5120</dim>
@@ -50985,7 +50821,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3524" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3224" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51004,7 +50840,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3525" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3225" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51019,7 +50855,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3526" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3226" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51040,8 +50876,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3527" name="Constant_77057" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 5120" offset="795188488" size="20480" />
+		<layer id="3227" name="Constant_77057" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 5120" offset="795116636" size="20480" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -51050,7 +50886,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3528" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3228" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51072,13 +50908,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3529" name="2661" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4976876" size="8" />
+		<layer id="3229" name="2661" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4975540" size="8" />
 			<output>
 				<port id="0" precision="I64" names="2661" />
 			</output>
 		</layer>
-		<layer id="3530" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="3230" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51093,15 +50929,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3531" name="Constant_45327" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="6414668" size="4" />
+		<layer id="3231" name="Constant_45327" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="6413324" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3532" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
+		<layer id="3232" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -51116,13 +50952,13 @@
 				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3533" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="6414672" size="4" />
+		<layer id="3233" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="6413328" size="4" />
 			<output>
 				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3534" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
+		<layer id="3234" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="I32" />
@@ -51132,7 +50968,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3535" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+		<layer id="3235" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -51142,7 +50978,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3536" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+		<layer id="3236" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -51156,7 +50992,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3537" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+		<layer id="3237" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="BOOL">
@@ -51169,7 +51005,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3538" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+		<layer id="3238" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -51183,15 +51019,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3539" name="Constant_45328" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="3239" name="Constant_45328" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3540" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+		<layer id="3240" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -51207,7 +51043,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3541" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+		<layer id="3241" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -51232,7 +51068,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3542" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="3242" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51249,7 +51085,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3543" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="3243" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51271,8 +51107,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3544" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 2560" offset="795208968" size="1638400" />
+		<layer id="3244" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 2560" offset="795137116" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -51280,7 +51116,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3545" name="Convert_230183" type="Convert" version="opset1">
+		<layer id="3245" name="Convert_117865" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -51295,8 +51131,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3546" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="796847368" size="640" />
+		<layer id="3246" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="796775516" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -51304,7 +51140,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3547" name="Convert_230186" type="Convert" version="opset1">
+		<layer id="3247" name="Convert_117868" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -51319,7 +51155,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3548" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3248" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51338,8 +51174,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3549" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="796848008" size="1280" />
+		<layer id="3249" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="796776156" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -51347,7 +51183,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3550" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3250" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51366,7 +51202,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3551" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3251" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
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 			<input>
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@@ -51381,7 +51217,7 @@
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 		</layer>
-		<layer id="3552" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3252" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51402,8 +51238,8 @@
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 			</output>
 		</layer>
-		<layer id="3553" name="Constant_77058" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="796849288" size="2560" />
+		<layer id="3253" name="Constant_77058" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="796777436" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -51412,7 +51248,7 @@
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 			</output>
 		</layer>
-		<layer id="3554" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3254" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51434,7 +51270,7 @@
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 			</output>
 		</layer>
-		<layer id="3555" name="__module.up_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="3255" name="__module.up_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51456,52 +51292,7 @@
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 			</output>
 		</layer>
-		<layer id="3556" name="__module.up_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="796851848" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="3557" name="__module.up_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="796851852" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="3558" name="__module.up_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="796851848" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3559" name="__module.up_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="796851852" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3560" name="__module.up_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
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-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>640</dim>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-			<output>
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-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>640</dim>
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-			</output>
-		</layer>
-		<layer id="3561" name="__module.up_blocks.2.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="3256" name="__module.up_blocks.2.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51517,21 +51308,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3562" name="Constant_73241" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="6826524" size="24" />
+		<layer id="3257" name="Constant_73241" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="6825172" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3563" name="Constant_73242" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="940816" size="8" />
+		<layer id="3258" name="Constant_73242" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="940160" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3564" name="Gather_73243" type="Gather" version="opset8">
+		<layer id="3259" name="Gather_73243" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -51548,15 +51339,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3565" name="Constant_33851" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="28139456" size="8" />
+		<layer id="3260" name="Constant_33851" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="28133484" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3566" name="__module.up_blocks.2.attentions.0/prim::ListConstruct_1" type="Concat" version="opset1">
+		<layer id="3261" name="__module.up_blocks.2.attentions.0/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -51572,7 +51363,7 @@
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 			</output>
 		</layer>
-		<layer id="3567" name="__module.up_blocks.2.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3262" name="__module.up_blocks.2.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51593,15 +51384,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3568" name="Constant_33860" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="6826556" size="32" />
+		<layer id="3263" name="Constant_33860" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="6825204" size="32" />
 			<output>
 				<port id="0" precision="I64" names="2888">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3569" name="__module.up_blocks.2.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3264" name="__module.up_blocks.2.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -51622,10 +51413,10 @@
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 			</output>
 		</layer>
-		<layer id="3570" name="Constant_1241879" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 640, 1, 1" offset="796851856" size="409600" />
+		<layer id="3265" name="self.up_blocks.2.attentions.0.proj_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640, 1, 1" offset="796779996" size="409600" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -51633,10 +51424,10 @@
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 			</output>
 		</layer>
-		<layer id="3571" name="Convert_1241880" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="3266" name="Convert_118723" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -51644,7 +51435,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -51652,10 +51443,29 @@
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 			</output>
 		</layer>
-		<layer id="3572" name="Constant_1241881" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="797261456" size="2560" />
+		<layer id="3267" name="self.up_blocks.2.attentions.0.proj_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="797189596" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3268" name="Convert_118726" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -51663,16 +51473,16 @@
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 			</output>
 		</layer>
-		<layer id="3573" name="__module.up_blocks.2.attentions.0.proj_out/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3269" name="self.up_blocks.2.attentions.0.proj_out.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -51680,7 +51490,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3270" name="self.up_blocks.2.attentions.0.proj_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="797190236" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3271" name="self.up_blocks.2.attentions.0.proj_out.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -51688,7 +51534,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3574" name="__module.up_blocks.2.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3272" name="self.up_blocks.2.attentions.0.proj_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3273" name="__module.up_blocks.2.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51713,8 +51578,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3575" name="__module.up_blocks.2.attentions.0.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="797264016" size="2560" />
+		<layer id="3274" name="__module.up_blocks.2.attentions.0.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="797191516" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -51724,7 +51589,7 @@
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 			</output>
 		</layer>
-		<layer id="3576" name="__module.up_blocks.2.attentions.0.proj_out/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3275" name="__module.up_blocks.2.attentions.0.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51749,7 +51614,7 @@
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 			</output>
 		</layer>
-		<layer id="3577" name="__module.up_blocks.2.attentions.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="3276" name="__module.up_blocks.2.attentions.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51774,7 +51639,7 @@
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 			</output>
 		</layer>
-		<layer id="3578" name="__module.up_blocks.2/aten::cat/Concat_1" type="Concat" version="opset1">
+		<layer id="3277" name="__module.up_blocks.2/aten::cat/Concat_1" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51799,76 +51664,84 @@
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 			</output>
 		</layer>
-		<layer id="3579" name="__module.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="797266576" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="3580" name="__module.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="797266580" size="4" />
+		<layer id="3278" name="self.up_blocks.2.resnets.1.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1280, 1, 1" offset="797194076" size="819200" />
 			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="3581" name="__module.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="797266576" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="3582" name="__module.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="797266580" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3583" name="__module.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3279" name="Convert_118217" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>640</dim>
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3584" name="Constant_1241883" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 1280, 1, 1" offset="797266584" size="819200" />
+		<layer id="3280" name="self.up_blocks.2.resnets.1.conv_shortcut.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="798013276" size="640" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>640</dim>
-					<dim>1280</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3585" name="Convert_1241884" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="3281" name="Convert_118220" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3282" name="self.up_blocks.2.resnets.1.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -51876,10 +51749,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3586" name="Constant_1241885" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="798085784" size="2560" />
+		<layer id="3283" name="self.up_blocks.2.resnets.1.conv_shortcut.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="798013916" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -51887,16 +51760,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3587" name="__module.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3284" name="self.up_blocks.2.resnets.1.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -51904,7 +51777,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3285" name="self.up_blocks.2.resnets.1.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>640</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -51912,7 +51804,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3588" name="__module.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3286" name="__module.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51937,8 +51829,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3589" name="__module.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="798088344" size="2560" />
+		<layer id="3287" name="__module.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="798015196" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -51948,7 +51840,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3590" name="__module.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3288" name="__module.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51973,23 +51865,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3591" name="self.up_blocks.2.resnets.1.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="798090904" size="5120" />
+		<layer id="3289" name="self.up_blocks.2.resnets.1.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="798017756" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.2.resnets.1.norm1.weight">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3592" name="self.up_blocks.2.resnets.1.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="1280" offset="798096024" size="5120" />
+		<layer id="3290" name="self.up_blocks.2.resnets.1.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1280" offset="798022876" size="5120" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.2.resnets.1.norm1.bias">
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3593" name="__module.up_blocks.2.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="3291" name="__module.up_blocks.2.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52014,7 +51906,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3594" name="__module.conv_act/aten::silu/Swish_52" type="Swish" version="opset4">
+		<layer id="3292" name="__module.conv_act/aten::silu/Swish_52" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52032,76 +51924,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3595" name="__module.conv_act/aten::silu/Swish_52/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="3293" name="self.up_blocks.2.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1280, 3, 3" offset="798027996" size="7372800" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3596" name="__module.conv_act/aten::silu/Swish_52/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="206553828" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3597" name="__module.conv_act/aten::silu/Swish_52/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3598" name="__module.conv_act/aten::silu/Swish_52/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="206553828" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3599" name="__module.conv_act/aten::silu/Swish_52/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3294" name="Convert_116831" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>640</dim>
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
 					<dim>1280</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3600" name="Constant_1241887" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 1280, 3, 3" offset="798101144" size="7372800" />
+		<layer id="3295" name="self.up_blocks.2.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="805400796" size="640" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>640</dim>
-					<dim>1280</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3601" name="Convert_1241888" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="3296" name="Convert_116834" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3297" name="self.up_blocks.2.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -52109,10 +52009,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3602" name="Constant_1241889" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="805473944" size="2560" />
+		<layer id="3298" name="self.up_blocks.2.resnets.1.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="805401436" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -52120,16 +52020,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3603" name="__module.up_blocks.2.resnets.1.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3299" name="self.up_blocks.2.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -52137,7 +52037,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3300" name="self.up_blocks.2.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>640</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -52145,7 +52064,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3604" name="__module.up_blocks.2.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3301" name="__module.up_blocks.2.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52170,8 +52089,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3605" name="__module.up_blocks.2.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="805476504" size="2560" />
+		<layer id="3302" name="__module.up_blocks.2.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="805402716" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -52181,7 +52100,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3606" name="__module.up_blocks.2.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3303" name="__module.up_blocks.2.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52206,8 +52125,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3607" name="self.up_blocks.2.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1280" offset="805479064" size="819200" />
+		<layer id="3304" name="self.up_blocks.2.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1280" offset="805405276" size="819200" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -52215,7 +52134,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3608" name="Convert_230381" type="Convert" version="opset1">
+		<layer id="3305" name="Convert_118162" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -52230,8 +52149,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3609" name="self.up_blocks.2.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="806298264" size="640" />
+		<layer id="3306" name="self.up_blocks.2.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="806224476" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -52239,7 +52158,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3610" name="Convert_230384" type="Convert" version="opset1">
+		<layer id="3307" name="Convert_118165" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -52254,7 +52173,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3611" name="self.up_blocks.2.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3308" name="self.up_blocks.2.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -52273,8 +52192,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3612" name="self.up_blocks.2.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="806298904" size="1280" />
+		<layer id="3309" name="self.up_blocks.2.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="806225116" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -52282,7 +52201,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3613" name="self.up_blocks.2.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3310" name="self.up_blocks.2.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -52301,7 +52220,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3614" name="self.up_blocks.2.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3311" name="self.up_blocks.2.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -52316,7 +52235,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3615" name="__module.up_blocks.2.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3312" name="__module.up_blocks.2.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52335,8 +52254,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3616" name="Constant_77059" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640" offset="806300184" size="2560" />
+		<layer id="3313" name="Constant_77059" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640" offset="806226396" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -52344,7 +52263,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3617" name="__module.up_blocks.2.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3314" name="__module.up_blocks.2.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52363,7 +52282,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3618" name="__module.up_blocks.2.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="3315" name="__module.up_blocks.2.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52379,7 +52298,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3619" name="__module.up_blocks.2.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="3316" name="__module.up_blocks.2.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52397,7 +52316,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3620" name="__module.up_blocks.2.resnets.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="3317" name="__module.up_blocks.2.resnets.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52422,23 +52341,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3621" name="self.up_blocks.2.resnets.1.norm2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="640" offset="806302744" size="2560" />
+		<layer id="3318" name="self.up_blocks.2.resnets.1.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="806228956" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.2.resnets.1.norm2.weight">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3622" name="self.up_blocks.2.resnets.1.norm2.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="640" offset="806305304" size="2560" />
+		<layer id="3319" name="self.up_blocks.2.resnets.1.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="806231516" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.2.resnets.1.norm2.bias">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3623" name="__module.up_blocks.2.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="3320" name="__module.up_blocks.2.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52463,7 +52382,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3624" name="__module.conv_act/aten::silu/Swish_54" type="Swish" version="opset4">
+		<layer id="3321" name="__module.conv_act/aten::silu/Swish_54" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52481,76 +52400,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3625" name="__module.conv_act/aten::silu/Swish_54/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="806307864" size="4" />
+		<layer id="3322" name="self.up_blocks.2.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640, 3, 3" offset="806234076" size="3686400" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3626" name="__module.conv_act/aten::silu/Swish_54/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="806307868" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3627" name="__module.conv_act/aten::silu/Swish_54/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="806307864" size="4" />
+		<layer id="3323" name="Convert_116974" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3628" name="__module.conv_act/aten::silu/Swish_54/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="806307868" size="4" />
+		<layer id="3324" name="self.up_blocks.2.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="809920476" size="640" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3629" name="__module.conv_act/aten::silu/Swish_54/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3325" name="Convert_116977" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3630" name="Constant_1241891" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 640, 3, 3" offset="806307872" size="3686400" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="3326" name="self.up_blocks.2.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3631" name="Convert_1241892" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>640</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -52558,10 +52485,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3632" name="Constant_1241893" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="809994272" size="2560" />
+		<layer id="3327" name="self.up_blocks.2.resnets.1.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="809921116" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -52569,16 +52496,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3633" name="__module.up_blocks.2.resnets.1.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3328" name="self.up_blocks.2.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -52586,7 +52513,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -52594,7 +52521,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3634" name="__module.up_blocks.2.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3329" name="self.up_blocks.2.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3330" name="__module.up_blocks.2.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52619,8 +52565,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3635" name="__module.up_blocks.2.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="809996832" size="2560" />
+		<layer id="3331" name="__module.up_blocks.2.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="809922396" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -52630,7 +52576,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3636" name="__module.up_blocks.2.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3332" name="__module.up_blocks.2.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52655,7 +52601,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3637" name="__module.up_blocks.2.resnets.1/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3333" name="__module.up_blocks.2.resnets.1/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52680,23 +52626,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3638" name="self.up_blocks.2.attentions.1.norm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="640" offset="809999392" size="2560" />
+		<layer id="3334" name="self.up_blocks.2.attentions.1.norm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="809924956" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.2.attentions.1.norm.weight">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3639" name="self.up_blocks.2.attentions.1.norm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="640" offset="810001952" size="2560" />
+		<layer id="3335" name="self.up_blocks.2.attentions.1.norm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="809927516" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.2.attentions.1.norm.bias">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3640" name="__module.up_blocks.2.attentions.1.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="3336" name="__module.up_blocks.2.attentions.1.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52721,76 +52667,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3641" name="__module.up_blocks.2.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="810004512" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3642" name="__module.up_blocks.2.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="810004516" size="4" />
+		<layer id="3337" name="self.up_blocks.2.attentions.1.proj_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640, 1, 1" offset="809930076" size="409600" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3643" name="__module.up_blocks.2.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="810004512" size="4" />
+		<layer id="3338" name="Convert_118734" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3644" name="__module.up_blocks.2.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="810004516" size="4" />
+		<layer id="3339" name="self.up_blocks.2.attentions.1.proj_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="810339676" size="640" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3645" name="__module.up_blocks.2.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3340" name="Convert_118737" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3646" name="Constant_1241895" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 640, 1, 1" offset="810004520" size="409600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="3341" name="self.up_blocks.2.attentions.1.proj_in.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="3647" name="Convert_1241896" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>640</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -52798,10 +52752,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3648" name="Constant_1241897" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="810414120" size="2560" />
+		<layer id="3342" name="self.up_blocks.2.attentions.1.proj_in.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="810340316" size="1280" />
 			<output>
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+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -52809,16 +52763,16 @@
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 			</output>
 		</layer>
-		<layer id="3649" name="__module.up_blocks.2.attentions.1.proj_in/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3343" name="self.up_blocks.2.attentions.1.proj_in.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -52826,7 +52780,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3344" name="self.up_blocks.2.attentions.1.proj_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -52834,7 +52807,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3650" name="__module.up_blocks.2.attentions.1.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3345" name="__module.up_blocks.2.attentions.1.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52859,8 +52832,8 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 640, 1, 1" offset="810416680" size="2560" />
+		<layer id="3346" name="__module.up_blocks.2.attentions.1.proj_in/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="810341596" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -52870,7 +52843,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3652" name="__module.up_blocks.2.attentions.1.proj_in/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3347" name="__module.up_blocks.2.attentions.1.proj_in/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52895,15 +52868,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3653" name="Constant_34203" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4453520" size="32" />
+		<layer id="3348" name="Constant_34203" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4452208" size="32" />
 			<output>
 				<port id="0" precision="I64" names="2973">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3654" name="__module.up_blocks.2.attentions.1/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="3349" name="__module.up_blocks.2.attentions.1/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52924,15 +52897,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3655" name="Constant_79951" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="19707328" size="24" />
+		<layer id="3350" name="Constant_79951" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="19701396" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3656" name="__module.up_blocks.2.attentions.1/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="3351" name="__module.up_blocks.2.attentions.1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52953,15 +52926,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3657" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="3352" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="3353" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52981,8 +52954,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3659" name="Constant_77060" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="810419240" size="2560" />
+		<layer id="3354" name="Constant_77060" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="810344156" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -52991,7 +52964,7 @@
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 			</output>
 		</layer>
-		<layer id="3660" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3355" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53013,8 +52986,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3661" name="Constant_77061" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="810421800" size="2560" />
+		<layer id="3356" name="Constant_77061" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="810346716" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -53023,7 +52996,7 @@
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 			</output>
 		</layer>
-		<layer id="3662" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3357" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53045,8 +53018,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="640, 640" offset="810424360" size="409600" />
+		<layer id="3358" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="810349276" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -53054,7 +53027,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3664" name="Convert_230876" type="Convert" version="opset1">
+		<layer id="3359" name="Convert_118767" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -53069,8 +53042,8 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="640, 1" offset="810833960" size="640" />
+		<layer id="3360" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="810758876" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -53078,7 +53051,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3666" name="Convert_230879" type="Convert" version="opset1">
+		<layer id="3361" name="Convert_118770" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -53093,7 +53066,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="3362" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -53112,8 +53085,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3668" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="810834600" size="1280" />
+		<layer id="3363" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="810759516" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -53121,7 +53094,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3669" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3364" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -53140,7 +53113,7 @@
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 			</output>
 		</layer>
-		<layer id="3670" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3365" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -53155,7 +53128,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="3366" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53176,60 +53149,15 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="810835880" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="3673" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="810835884" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="3674" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="810835880" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="3675" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="810835884" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="3676" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>640</dim>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-			<output>
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-					<dim>-1</dim>
-					<dim>640</dim>
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-		<layer id="3677" name="Constant_79952" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="3367" name="Constant_79952" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
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+		<layer id="3368" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53250,15 +53178,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3369" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -53279,8 +53207,8 @@
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 		</layer>
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-			<data element_type="u8" shape="640, 640" offset="810835888" size="409600" />
+		<layer id="3371" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="810760796" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -53288,7 +53216,7 @@
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 			</output>
 		</layer>
-		<layer id="3682" name="Convert_230865" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -53303,8 +53231,8 @@
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 		</layer>
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-			<data element_type="u8" shape="640, 1" offset="811245488" size="640" />
+		<layer id="3373" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -53312,7 +53240,7 @@
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 			</output>
 		</layer>
-		<layer id="3684" name="Convert_230868" type="Convert" version="opset1">
+		<layer id="3374" name="Convert_118759" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -53327,7 +53255,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -53346,8 +53274,8 @@
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 		</layer>
-		<layer id="3686" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="811246128" size="1280" />
+		<layer id="3376" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="811171036" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -53355,7 +53283,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3687" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3377" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -53374,7 +53302,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3688" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3378" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -53389,7 +53317,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3689" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3379" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53410,60 +53338,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3690" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="811247408" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3691" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="811247412" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3692" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="811247408" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3693" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="811247412" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3694" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>640</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3695" name="Constant_79953" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="3380" name="Constant_79953" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3696" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3381" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53484,15 +53367,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3697" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3382" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3698" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3383" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -53513,8 +53396,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3699" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 640" offset="811247416" size="409600" />
+		<layer id="3384" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="811172316" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -53522,7 +53405,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3700" name="Convert_230854" type="Convert" version="opset1">
+		<layer id="3385" name="Convert_118745" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -53537,8 +53420,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3701" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="811657016" size="640" />
+		<layer id="3386" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="811581916" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -53546,7 +53429,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3702" name="Convert_230857" type="Convert" version="opset1">
+		<layer id="3387" name="Convert_118748" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -53561,7 +53444,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3703" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3388" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -53580,8 +53463,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3704" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="811657656" size="1280" />
+		<layer id="3389" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="811582556" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -53589,7 +53472,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3705" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3390" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -53608,7 +53491,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3706" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3391" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -53623,7 +53506,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3707" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3392" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53644,15 +53527,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3708" name="Constant_79954" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="3393" name="Constant_79954" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3709" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
+		<layer id="3394" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53673,15 +53556,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3710" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3395" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3711" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3396" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -53702,7 +53585,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3712" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="3397" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53733,15 +53616,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3713" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3398" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3714" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3399" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -53762,15 +53645,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3715" name="Constant_79955" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="20947080" size="24" />
+		<layer id="3400" name="Constant_79955" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="20941132" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3716" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="3401" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53791,285 +53674,8 @@
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 			</output>
 		</layer>
-		<layer id="3717" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 640" offset="811658936" size="409600" />
-			<output>
-				<port id="0" precision="U8">
-					<dim>640</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3718" name="Convert_230887" type="Convert" version="opset1">
-			<data destination_type="f16" />
-			<input>
-				<port id="0" precision="U8">
-					<dim>640</dim>
-					<dim>640</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP16">
-					<dim>640</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3719" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="812068536" size="640" />
-			<output>
-				<port id="0" precision="U8">
-					<dim>640</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3720" name="Convert_230890" type="Convert" version="opset1">
-			<data destination_type="f16" />
-			<input>
-				<port id="0" precision="U8">
-					<dim>640</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP16">
-					<dim>640</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3721" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP16">
-					<dim>640</dim>
-					<dim>640</dim>
-				</port>
-				<port id="1" precision="FP16">
-					<dim>640</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP16">
-					<dim>640</dim>
-					<dim>640</dim>
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-			</output>
-		</layer>
-		<layer id="3722" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="812069176" size="1280" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>640</dim>
-					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="3723" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP16">
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-					<dim>640</dim>
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-				<port id="1" precision="FP16">
-					<dim>640</dim>
-					<dim>1</dim>
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-			<output>
-				<port id="2" precision="FP16">
-					<dim>640</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3724" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="FP16">
-					<dim>640</dim>
-					<dim>640</dim>
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-			<output>
-				<port id="1" precision="FP32">
-					<dim>640</dim>
-					<dim>640</dim>
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-		</layer>
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-					<dim>-1</dim>
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-				<port id="1" precision="FP32">
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-					<dim>640</dim>
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-					<dim>-1</dim>
-					<dim>640</dim>
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@@ -54077,7 +53683,7 @@
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 		</layer>
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@@ -54092,8 +53698,8 @@
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@@ -54101,7 +53707,7 @@
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 		</layer>
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@@ -54116,7 +53722,7 @@
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@@ -54163,7 +53769,7 @@
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@@ -54178,7 +53784,7 @@
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+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3748" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3428" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>640</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32">
+				<port id="2" precision="FP32" names="3040,query.47">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3749" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="3429" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54265,15 +54103,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3750" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3430" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3751" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
+		<layer id="3431" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -54294,8 +54132,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3752" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 768" offset="812489664" size="491520" />
+		<layer id="3432" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 768" offset="812414556" size="491520" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -54303,7 +54141,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3753" name="Convert_230535" type="Convert" version="opset1">
+		<layer id="3433" name="Convert_118349" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -54318,8 +54156,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3754" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="812981184" size="640" />
+		<layer id="3434" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="812906076" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -54327,7 +54165,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3755" name="Convert_230538" type="Convert" version="opset1">
+		<layer id="3435" name="Convert_118352" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -54342,7 +54180,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3756" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3436" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -54361,8 +54199,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3757" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="812981824" size="1280" />
+		<layer id="3437" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="812906716" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -54370,7 +54208,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3758" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3438" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -54389,7 +54227,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3759" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3439" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -54404,7 +54242,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3760" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3440" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54425,60 +54263,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3761" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="812983104" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3762" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="812983108" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3763" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="812983104" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3764" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="812983108" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3765" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>77</dim>
-					<dim>640</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>77</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3766" name="Constant_79956" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="3441" name="Constant_79956" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3767" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3442" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54499,15 +54292,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3768" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3443" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3769" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3444" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -54528,8 +54321,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3770" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 768" offset="812983112" size="491520" />
+		<layer id="3445" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 768" offset="812907996" size="491520" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -54537,7 +54330,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3771" name="Convert_230524" type="Convert" version="opset1">
+		<layer id="3446" name="Convert_118338" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -54552,8 +54345,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3772" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="813474632" size="640" />
+		<layer id="3447" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="813399516" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -54561,7 +54354,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3773" name="Convert_230527" type="Convert" version="opset1">
+		<layer id="3448" name="Convert_118341" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -54576,7 +54369,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3774" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3449" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -54595,8 +54388,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3775" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="813475272" size="1280" />
+		<layer id="3450" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="813400156" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -54604,7 +54397,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3776" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3451" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -54623,7 +54416,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3777" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3452" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -54638,7 +54431,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3778" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3453" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54659,15 +54452,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3779" name="Constant_79957" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="3454" name="Constant_79957" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3780" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
+		<layer id="3455" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54688,15 +54481,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3781" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3456" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3782" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3457" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -54717,7 +54510,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3783" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="3458" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54748,15 +54541,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3784" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3459" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3785" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3460" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -54777,15 +54570,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3786" name="Constant_79958" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="20947080" size="24" />
+		<layer id="3461" name="Constant_79958" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="20941132" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="3462" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54806,8 +54599,8 @@
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 			</output>
 		</layer>
-		<layer id="3788" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 640" offset="813476552" size="409600" />
+		<layer id="3463" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="813401436" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -54815,7 +54608,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3789" name="Convert_230909" type="Convert" version="opset1">
+		<layer id="3464" name="Convert_118800" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -54830,8 +54623,8 @@
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 			</output>
 		</layer>
-		<layer id="3790" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="813886152" size="640" />
+		<layer id="3465" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="813811036" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -54839,7 +54632,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3791" name="Convert_230912" type="Convert" version="opset1">
+		<layer id="3466" name="Convert_118803" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -54854,7 +54647,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3792" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3467" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -54873,8 +54666,8 @@
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 			</output>
 		</layer>
-		<layer id="3793" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="813886792" size="1280" />
+		<layer id="3468" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="813811676" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -54882,7 +54675,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3794" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3469" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -54901,7 +54694,7 @@
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 			</output>
 		</layer>
-		<layer id="3795" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3470" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -54916,7 +54709,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3796" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3471" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54937,8 +54730,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3797" name="Constant_77065" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="813888072" size="2560" />
+		<layer id="3472" name="Constant_77065" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="813812956" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -54947,7 +54740,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3798" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3473" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54969,7 +54762,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3799" name="__module.up_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3474" name="__module.up_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54991,15 +54784,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3800" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="3475" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3801" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3476" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55019,8 +54812,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3802" name="Constant_77066" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="813890632" size="2560" />
+		<layer id="3477" name="Constant_77066" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="813815516" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -55029,7 +54822,7 @@
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 			</output>
 		</layer>
-		<layer id="3803" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3478" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55051,8 +54844,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3804" name="Constant_77067" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="813893192" size="2560" />
+		<layer id="3479" name="Constant_77067" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="813818076" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -55061,7 +54854,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3805" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3480" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55083,8 +54876,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3806" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="5120, 640" offset="813895752" size="3276800" />
+		<layer id="3481" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="5120, 640" offset="813820636" size="3276800" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>5120</dim>
@@ -55092,7 +54885,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3807" name="Convert_229600" type="Convert" version="opset1">
+		<layer id="3482" name="Convert_117095" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -55107,8 +54900,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3808" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="5120, 1" offset="817172552" size="5120" />
+		<layer id="3483" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="5120, 1" offset="817097436" size="5120" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>5120</dim>
@@ -55116,7 +54909,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3809" name="Convert_229603" type="Convert" version="opset1">
+		<layer id="3484" name="Convert_117098" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -55131,7 +54924,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3810" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3485" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -55150,8 +54943,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3811" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="5120, 1" offset="817177672" size="10240" />
+		<layer id="3486" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="5120, 1" offset="817102556" size="10240" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>5120</dim>
@@ -55159,7 +54952,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3812" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3487" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -55178,7 +54971,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3813" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3488" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -55193,7 +54986,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3814" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3489" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55214,8 +55007,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3815" name="Constant_77068" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 5120" offset="817187912" size="20480" />
+		<layer id="3490" name="Constant_77068" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 5120" offset="817112796" size="20480" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -55224,7 +55017,7 @@
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 			</output>
 		</layer>
-		<layer id="3816" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3491" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55246,7 +55039,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3817" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="3492" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55261,15 +55054,15 @@
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 			</output>
 		</layer>
-		<layer id="3818" name="Constant_45399" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="6414668" size="4" />
+		<layer id="3493" name="Constant_45399" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="6413324" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3819" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
+		<layer id="3494" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -55284,7 +55077,7 @@
 				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3820" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
+		<layer id="3495" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="I32" />
@@ -55294,7 +55087,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3821" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+		<layer id="3496" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -55304,7 +55097,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3822" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+		<layer id="3497" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -55318,7 +55111,7 @@
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 			</output>
 		</layer>
-		<layer id="3823" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+		<layer id="3498" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="BOOL">
@@ -55331,7 +55124,7 @@
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 			</output>
 		</layer>
-		<layer id="3824" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+		<layer id="3499" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -55345,15 +55138,15 @@
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 			</output>
 		</layer>
-		<layer id="3825" name="Constant_45400" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="3500" name="Constant_45400" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3826" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+		<layer id="3501" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -55369,7 +55162,7 @@
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 			</output>
 		</layer>
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+		<layer id="3502" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -55394,7 +55187,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3828" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="3503" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55411,7 +55204,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3829" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="3504" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55433,8 +55226,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3830" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 2560" offset="817208392" size="1638400" />
+		<layer id="3505" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 2560" offset="817133276" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -55442,7 +55235,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3831" name="Convert_230194" type="Convert" version="opset1">
+		<layer id="3506" name="Convert_117876" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -55457,8 +55250,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3832" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="818846792" size="640" />
+		<layer id="3507" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="818771676" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -55466,7 +55259,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3833" name="Convert_230197" type="Convert" version="opset1">
+		<layer id="3508" name="Convert_117879" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -55481,7 +55274,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3834" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3509" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -55500,8 +55293,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3835" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="818847432" size="1280" />
+		<layer id="3510" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="818772316" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -55509,7 +55302,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3836" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3511" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -55528,7 +55321,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3837" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3512" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -55543,7 +55336,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3838" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3513" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55564,8 +55357,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3839" name="Constant_77069" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="818848712" size="2560" />
+		<layer id="3514" name="Constant_77069" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="818773596" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -55574,7 +55367,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3840" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3515" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55596,7 +55389,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3841" name="__module.up_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="3516" name="__module.up_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55618,52 +55411,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3842" name="__module.up_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="818851272" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3843" name="__module.up_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="818851276" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3844" name="__module.up_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="818851272" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3845" name="__module.up_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="818851276" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3846" name="__module.up_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>640</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3847" name="__module.up_blocks.2.attentions.1/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="3517" name="__module.up_blocks.2.attentions.1/aten::size/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55679,21 +55427,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3848" name="Constant_73250" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="6826524" size="24" />
+		<layer id="3518" name="Constant_73250" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="6825172" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3849" name="Constant_73251" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="940816" size="8" />
+		<layer id="3519" name="Constant_73251" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="940160" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3850" name="Gather_73252" type="Gather" version="opset8">
+		<layer id="3520" name="Gather_73252" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -55710,15 +55458,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3851" name="Constant_35500" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="28139456" size="8" />
+		<layer id="3521" name="Constant_35500" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="28133484" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3852" name="__module.up_blocks.2.attentions.1/prim::ListConstruct_1" type="Concat" version="opset1">
+		<layer id="3522" name="__module.up_blocks.2.attentions.1/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -55734,7 +55482,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3853" name="__module.up_blocks.2.attentions.1/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3523" name="__module.up_blocks.2.attentions.1/aten::reshape/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55755,15 +55503,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3854" name="Constant_35509" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="6826556" size="32" />
+		<layer id="3524" name="Constant_35509" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="6825204" size="32" />
 			<output>
 				<port id="0" precision="I64" names="3097">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3855" name="__module.up_blocks.2.attentions.1/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3525" name="__module.up_blocks.2.attentions.1/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -55784,10 +55532,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3856" name="Constant_1241899" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 640, 1, 1" offset="818851280" size="409600" />
+		<layer id="3526" name="self.up_blocks.2.attentions.1.proj_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640, 1, 1" offset="818776156" size="409600" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -55795,10 +55543,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3857" name="Convert_1241900" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="3527" name="Convert_118811" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -55806,7 +55554,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -55814,10 +55562,29 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3858" name="Constant_1241901" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="819260880" size="2560" />
+		<layer id="3528" name="self.up_blocks.2.attentions.1.proj_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="819185756" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3529" name="Convert_118814" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -55825,16 +55592,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3859" name="__module.up_blocks.2.attentions.1.proj_out/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3530" name="self.up_blocks.2.attentions.1.proj_out.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -55842,7 +55609,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -55850,7 +55617,62 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3860" name="__module.up_blocks.2.attentions.1.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3531" name="self.up_blocks.2.attentions.1.proj_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="819186396" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3532" name="self.up_blocks.2.attentions.1.proj_out.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3533" name="self.up_blocks.2.attentions.1.proj_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3534" name="__module.up_blocks.2.attentions.1.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55875,8 +55697,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3861" name="__module.up_blocks.2.attentions.1.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="819263440" size="2560" />
+		<layer id="3535" name="__module.up_blocks.2.attentions.1.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="819187676" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -55886,7 +55708,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3862" name="__module.up_blocks.2.attentions.1.proj_out/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3536" name="__module.up_blocks.2.attentions.1.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55911,7 +55733,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3863" name="__module.up_blocks.2.attentions.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="3537" name="__module.up_blocks.2.attentions.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55936,7 +55758,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3864" name="__module.up_blocks.2/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="3538" name="__module.up_blocks.2/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55961,76 +55783,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3865" name="__module.up_blocks.2.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="819266000" size="4" />
+		<layer id="3539" name="self.up_blocks.2.resnets.2.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 960, 1, 1" offset="819190236" size="614400" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3866" name="__module.up_blocks.2.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="819266004" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3867" name="__module.up_blocks.2.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="819266000" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3868" name="__module.up_blocks.2.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="819266004" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3869" name="__module.up_blocks.2.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3540" name="Convert_118261" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>640</dim>
 					<dim>960</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
 					<dim>960</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3870" name="Constant_1241903" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 960, 1, 1" offset="819266008" size="614400" />
+		<layer id="3541" name="self.up_blocks.2.resnets.2.conv_shortcut.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="819804636" size="640" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>640</dim>
-					<dim>960</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3871" name="Convert_1241904" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="3542" name="Convert_118264" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3543" name="self.up_blocks.2.resnets.2.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>960</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>960</dim>
 					<dim>1</dim>
@@ -56038,10 +55868,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3872" name="Constant_1241905" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="819880408" size="2560" />
+		<layer id="3544" name="self.up_blocks.2.resnets.2.conv_shortcut.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="819805276" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -56049,16 +55879,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3873" name="__module.up_blocks.2.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3545" name="self.up_blocks.2.resnets.2.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>960</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -56066,7 +55896,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3546" name="self.up_blocks.2.resnets.2.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>640</dim>
 					<dim>960</dim>
 					<dim>1</dim>
@@ -56074,7 +55923,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3874" name="__module.up_blocks.2.resnets.2.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3547" name="__module.up_blocks.2.resnets.2.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56099,8 +55948,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3875" name="__module.up_blocks.2.resnets.2.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="819882968" size="2560" />
+		<layer id="3548" name="__module.up_blocks.2.resnets.2.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="819806556" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -56110,7 +55959,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3876" name="__module.up_blocks.2.resnets.2.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3549" name="__module.up_blocks.2.resnets.2.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56135,23 +55984,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3877" name="self.up_blocks.2.resnets.2.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="960" offset="819885528" size="3840" />
+		<layer id="3550" name="self.up_blocks.2.resnets.2.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="960" offset="819809116" size="3840" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.2.resnets.2.norm1.weight">
 					<dim>960</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3878" name="self.up_blocks.2.resnets.2.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="960" offset="819889368" size="3840" />
+		<layer id="3551" name="self.up_blocks.2.resnets.2.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="960" offset="819812956" size="3840" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.2.resnets.2.norm1.bias">
 					<dim>960</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3879" name="__module.up_blocks.2.resnets.2.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="3552" name="__module.up_blocks.2.resnets.2.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56176,7 +56025,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3880" name="__module.conv_act/aten::silu/Swish_55" type="Swish" version="opset4">
+		<layer id="3553" name="__module.conv_act/aten::silu/Swish_55" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56194,76 +56043,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3881" name="__module.conv_act/aten::silu/Swish_55/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="819893208" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3882" name="__module.conv_act/aten::silu/Swish_55/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="819893212" size="4" />
+		<layer id="3554" name="self.up_blocks.2.resnets.2.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 960, 3, 3" offset="819816796" size="5529600" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3883" name="__module.conv_act/aten::silu/Swish_55/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="819893208" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3884" name="__module.conv_act/aten::silu/Swish_55/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="819893212" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>960</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3885" name="__module.conv_act/aten::silu/Swish_55/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3555" name="Convert_116908" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>640</dim>
 					<dim>960</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
 					<dim>960</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3886" name="Constant_1241907" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 960, 3, 3" offset="819893216" size="5529600" />
+		<layer id="3556" name="self.up_blocks.2.resnets.2.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="825346396" size="640" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>640</dim>
-					<dim>960</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3887" name="Convert_1241908" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="3557" name="Convert_116911" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3558" name="self.up_blocks.2.resnets.2.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>960</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>960</dim>
 					<dim>3</dim>
@@ -56271,10 +56128,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3888" name="Constant_1241909" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="825422816" size="2560" />
+		<layer id="3559" name="self.up_blocks.2.resnets.2.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="825347036" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -56282,16 +56139,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3889" name="__module.up_blocks.2.resnets.2.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3560" name="self.up_blocks.2.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>960</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -56299,7 +56156,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>960</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3561" name="self.up_blocks.2.resnets.2.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>960</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>640</dim>
 					<dim>960</dim>
 					<dim>3</dim>
@@ -56307,7 +56183,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3890" name="__module.up_blocks.2.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3562" name="__module.up_blocks.2.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56332,8 +56208,8 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 640, 1, 1" offset="825425376" size="2560" />
+		<layer id="3563" name="__module.up_blocks.2.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="825348316" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -56343,7 +56219,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3892" name="__module.up_blocks.2.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3564" name="__module.up_blocks.2.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56368,8 +56244,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3893" name="self.up_blocks.2.resnets.2.time_emb_proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1280" offset="825427936" size="819200" />
+		<layer id="3565" name="self.up_blocks.2.resnets.2.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1280" offset="825350876" size="819200" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -56377,7 +56253,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3894" name="Convert_230370" type="Convert" version="opset1">
+		<layer id="3566" name="Convert_118151" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -56392,8 +56268,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3895" name="self.up_blocks.2.resnets.2.time_emb_proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="826247136" size="640" />
+		<layer id="3567" name="self.up_blocks.2.resnets.2.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="826170076" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -56401,7 +56277,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3896" name="Convert_230373" type="Convert" version="opset1">
+		<layer id="3568" name="Convert_118154" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -56416,7 +56292,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3897" name="self.up_blocks.2.resnets.2.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3569" name="self.up_blocks.2.resnets.2.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -56435,8 +56311,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3898" name="self.up_blocks.2.resnets.2.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="826247776" size="1280" />
+		<layer id="3570" name="self.up_blocks.2.resnets.2.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="826170716" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -56444,7 +56320,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3899" name="self.up_blocks.2.resnets.2.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3571" name="self.up_blocks.2.resnets.2.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -56463,7 +56339,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3900" name="self.up_blocks.2.resnets.2.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3572" name="self.up_blocks.2.resnets.2.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -56478,7 +56354,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3901" name="__module.up_blocks.2.resnets.2.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3573" name="__module.up_blocks.2.resnets.2.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56497,8 +56373,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3902" name="Constant_77070" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640" offset="826249056" size="2560" />
+		<layer id="3574" name="Constant_77070" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640" offset="826171996" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -56506,7 +56382,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3903" name="__module.up_blocks.2.resnets.2.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3575" name="__module.up_blocks.2.resnets.2.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56525,7 +56401,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3904" name="__module.up_blocks.2.resnets.2/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="3576" name="__module.up_blocks.2.resnets.2/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56541,7 +56417,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3905" name="__module.up_blocks.2.resnets.2/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="3577" name="__module.up_blocks.2.resnets.2/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56559,7 +56435,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3906" name="__module.up_blocks.2.resnets.2/aten::add/Add" type="Add" version="opset1">
+		<layer id="3578" name="__module.up_blocks.2.resnets.2/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56584,23 +56460,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3907" name="self.up_blocks.2.resnets.2.norm2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="640" offset="826251616" size="2560" />
+		<layer id="3579" name="self.up_blocks.2.resnets.2.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="826174556" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.2.resnets.2.norm2.weight">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3908" name="self.up_blocks.2.resnets.2.norm2.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="640" offset="826254176" size="2560" />
+		<layer id="3580" name="self.up_blocks.2.resnets.2.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="826177116" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.2.resnets.2.norm2.bias">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3909" name="__module.up_blocks.2.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="3581" name="__module.up_blocks.2.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56625,7 +56501,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3910" name="__module.conv_act/aten::silu/Swish_57" type="Swish" version="opset4">
+		<layer id="3582" name="__module.conv_act/aten::silu/Swish_57" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56643,76 +56519,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3911" name="__module.conv_act/aten::silu/Swish_57/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="3583" name="self.up_blocks.2.resnets.2.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640, 3, 3" offset="826179676" size="3686400" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3912" name="__module.conv_act/aten::silu/Swish_57/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="206553828" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3913" name="__module.conv_act/aten::silu/Swish_57/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="3584" name="Convert_116985" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3914" name="__module.conv_act/aten::silu/Swish_57/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="206553828" size="4" />
+		<layer id="3585" name="self.up_blocks.2.resnets.2.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="829866076" size="640" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3915" name="__module.conv_act/aten::silu/Swish_57/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3586" name="Convert_116988" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3916" name="Constant_1241911" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 640, 3, 3" offset="826256736" size="3686400" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="3587" name="self.up_blocks.2.resnets.2.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3917" name="Convert_1241912" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>640</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -56720,10 +56604,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3918" name="Constant_1241913" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="829943136" size="2560" />
+		<layer id="3588" name="self.up_blocks.2.resnets.2.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="829866716" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -56731,16 +56615,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3919" name="__module.up_blocks.2.resnets.2.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3589" name="self.up_blocks.2.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -56748,7 +56632,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -56756,7 +56640,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3920" name="__module.up_blocks.2.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3590" name="self.up_blocks.2.resnets.2.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3591" name="__module.up_blocks.2.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56781,8 +56684,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3921" name="__module.up_blocks.2.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="829945696" size="2560" />
+		<layer id="3592" name="__module.up_blocks.2.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="829867996" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -56792,7 +56695,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3922" name="__module.up_blocks.2.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3593" name="__module.up_blocks.2.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56817,7 +56720,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3923" name="__module.up_blocks.2.resnets.2/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3594" name="__module.up_blocks.2.resnets.2/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56842,23 +56745,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3924" name="self.up_blocks.2.attentions.2.norm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="640" offset="829948256" size="2560" />
+		<layer id="3595" name="self.up_blocks.2.attentions.2.norm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="829870556" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.2.attentions.2.norm.weight">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="640" offset="829950816" size="2560" />
+		<layer id="3596" name="self.up_blocks.2.attentions.2.norm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="829873116" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.2.attentions.2.norm.bias">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3926" name="__module.up_blocks.2.attentions.2.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="3597" name="__module.up_blocks.2.attentions.2.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56883,76 +56786,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3927" name="__module.up_blocks.2.attentions.2.norm/aten::group_norm/GroupNormalization/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="829953376" size="4" />
+		<layer id="3598" name="self.up_blocks.2.attentions.2.proj_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640, 1, 1" offset="829875676" size="409600" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3928" name="__module.up_blocks.2.attentions.2.norm/aten::group_norm/GroupNormalization/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="829953380" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3929" name="__module.up_blocks.2.attentions.2.norm/aten::group_norm/GroupNormalization/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="829953376" size="4" />
+		<layer id="3599" name="Convert_118822" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3930" name="__module.up_blocks.2.attentions.2.norm/aten::group_norm/GroupNormalization/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="829953380" size="4" />
+		<layer id="3600" name="self.up_blocks.2.attentions.2.proj_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="830285276" size="640" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3931" name="__module.up_blocks.2.attentions.2.norm/aten::group_norm/GroupNormalization/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3601" name="Convert_118825" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3932" name="Constant_1241915" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 640, 1, 1" offset="829953384" size="409600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="3602" name="self.up_blocks.2.attentions.2.proj_in.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3933" name="Convert_1241916" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>640</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -56960,10 +56871,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3934" name="Constant_1241917" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="830362984" size="2560" />
+		<layer id="3603" name="self.up_blocks.2.attentions.2.proj_in.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="830285916" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -56971,16 +56882,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3935" name="__module.up_blocks.2.attentions.2.proj_in/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3604" name="self.up_blocks.2.attentions.2.proj_in.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -56988,7 +56899,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3605" name="self.up_blocks.2.attentions.2.proj_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -56996,7 +56926,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3936" name="__module.up_blocks.2.attentions.2.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3606" name="__module.up_blocks.2.attentions.2.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57021,8 +56951,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3937" name="__module.up_blocks.2.attentions.2.proj_in/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="830365544" size="2560" />
+		<layer id="3607" name="__module.up_blocks.2.attentions.2.proj_in/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="830287196" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -57032,7 +56962,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3938" name="__module.up_blocks.2.attentions.2.proj_in/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3608" name="__module.up_blocks.2.attentions.2.proj_in/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57057,15 +56987,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3939" name="Constant_35852" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4453520" size="32" />
+		<layer id="3609" name="Constant_35852" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4452208" size="32" />
 			<output>
 				<port id="0" precision="I64" names="3182">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3940" name="__module.up_blocks.2.attentions.2/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="3610" name="__module.up_blocks.2.attentions.2/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -57086,15 +57016,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3941" name="Constant_79959" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="19707328" size="24" />
+		<layer id="3611" name="Constant_79959" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="19701396" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3942" name="__module.up_blocks.2.attentions.2/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="3612" name="__module.up_blocks.2.attentions.2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57115,15 +57045,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3943" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="3613" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3944" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3614" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57143,8 +57073,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3945" name="Constant_77071" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="830368104" size="2560" />
+		<layer id="3615" name="Constant_77071" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="830289756" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -57153,7 +57083,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3946" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3616" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57175,8 +57105,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3947" name="Constant_77072" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="830370664" size="2560" />
+		<layer id="3617" name="Constant_77072" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="830292316" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -57185,7 +57115,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3948" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3618" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57207,8 +57137,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3949" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 640" offset="830373224" size="409600" />
+		<layer id="3619" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="830294876" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -57216,7 +57146,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3950" name="Convert_230942" type="Convert" version="opset1">
+		<layer id="3620" name="Convert_118855" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -57231,8 +57161,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3951" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="830782824" size="640" />
+		<layer id="3621" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="830704476" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -57240,7 +57170,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3952" name="Convert_230945" type="Convert" version="opset1">
+		<layer id="3622" name="Convert_118858" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -57255,7 +57185,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3953" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3623" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -57274,8 +57204,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3954" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="830783464" size="1280" />
+		<layer id="3624" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="830705116" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -57283,7 +57213,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3955" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3625" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -57302,7 +57232,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3956" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3626" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -57317,7 +57247,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3957" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3627" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57338,60 +57268,15 @@
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 			</output>
 		</layer>
-		<layer id="3958" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="830784744" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="3959" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="830784748" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="3960" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="830784744" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="3961" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="830784748" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="3962" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>640</dim>
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-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
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-					<dim>-1</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3963" name="Constant_79960" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="3628" name="Constant_79960" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3964" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="3629" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57412,15 +57297,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3965" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3630" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3966" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
+		<layer id="3631" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -57441,8 +57326,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3967" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 640" offset="830784752" size="409600" />
+		<layer id="3632" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="830706396" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -57450,7 +57335,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3968" name="Convert_230931" type="Convert" version="opset1">
+		<layer id="3633" name="Convert_118844" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -57465,8 +57350,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3969" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="831194352" size="640" />
+		<layer id="3634" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="831115996" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -57474,7 +57359,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3970" name="Convert_230934" type="Convert" version="opset1">
+		<layer id="3635" name="Convert_118847" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -57489,7 +57374,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3971" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3636" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -57508,8 +57393,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3972" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="831194992" size="1280" />
+		<layer id="3637" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="831116636" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -57517,7 +57402,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3973" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3638" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -57536,7 +57421,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3974" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3639" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -57551,7 +57436,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3975" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3640" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57572,60 +57457,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3976" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="831196272" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3977" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="831196276" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3978" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="831196272" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3979" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="831196276" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3980" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>640</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3981" name="Constant_79961" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="3641" name="Constant_79961" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3982" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3642" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57646,15 +57486,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3983" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3643" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3984" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3644" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -57675,8 +57515,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3985" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 640" offset="831196280" size="409600" />
+		<layer id="3645" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="831117916" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -57684,7 +57524,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3986" name="Convert_230920" type="Convert" version="opset1">
+		<layer id="3646" name="Convert_118833" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -57699,8 +57539,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3987" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="831605880" size="640" />
+		<layer id="3647" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="831527516" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -57708,7 +57548,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3988" name="Convert_230923" type="Convert" version="opset1">
+		<layer id="3648" name="Convert_118836" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -57723,7 +57563,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3989" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3649" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -57742,8 +57582,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3990" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="831606520" size="1280" />
+		<layer id="3650" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="831528156" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -57751,7 +57591,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3991" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3651" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -57770,7 +57610,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3992" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3652" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -57785,7 +57625,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3993" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3653" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57806,15 +57646,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3994" name="Constant_79962" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="3654" name="Constant_79962" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3995" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
+		<layer id="3655" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57835,15 +57675,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3996" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3656" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3997" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3657" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -57864,7 +57704,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3998" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="3658" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57895,15 +57735,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3999" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3659" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4000" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3660" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -57924,15 +57764,15 @@
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 			</output>
 		</layer>
-		<layer id="4001" name="Constant_79963" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="20947080" size="24" />
+		<layer id="3661" name="Constant_79963" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="20941132" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="3662" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57953,8 +57793,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4003" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 640" offset="831607800" size="409600" />
+		<layer id="3663" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="831529436" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -57962,7 +57802,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4004" name="Convert_230953" type="Convert" version="opset1">
+		<layer id="3664" name="Convert_118866" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -57977,8 +57817,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4005" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="832017400" size="640" />
+		<layer id="3665" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="831939036" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -57986,7 +57826,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4006" name="Convert_230956" type="Convert" version="opset1">
+		<layer id="3666" name="Convert_118869" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -58001,7 +57841,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4007" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3667" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -58020,8 +57860,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4008" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="832018040" size="1280" />
+		<layer id="3668" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="831939676" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -58029,7 +57869,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4009" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3669" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -58048,7 +57888,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4010" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3670" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -58063,7 +57903,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4011" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3671" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58084,8 +57924,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4012" name="Constant_77073" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="832019320" size="2560" />
+		<layer id="3672" name="Constant_77073" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="831940956" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -58094,7 +57934,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4013" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3673" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58116,7 +57956,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4014" name="__module.up_blocks.2.attentions.2.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="3674" name="__module.up_blocks.2.attentions.2.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58138,15 +57978,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4015" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="3675" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4016" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3676" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58166,8 +58006,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4017" name="Constant_77074" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="832021880" size="2560" />
+		<layer id="3677" name="Constant_77074" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="831943516" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -58176,7 +58016,7 @@
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 			</output>
 		</layer>
-		<layer id="4018" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3678" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58198,8 +58038,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4019" name="Constant_77075" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="832024440" size="2560" />
+		<layer id="3679" name="Constant_77075" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="831946076" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -58208,7 +58048,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4020" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3680" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58230,8 +58070,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4021" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 640" offset="832027000" size="409600" />
+		<layer id="3681" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="831948636" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -58239,7 +58079,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4022" name="Convert_230964" type="Convert" version="opset1">
+		<layer id="3682" name="Convert_118877" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -58254,8 +58094,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4023" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="832436600" size="640" />
+		<layer id="3683" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="832358236" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -58263,7 +58103,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4024" name="Convert_230967" type="Convert" version="opset1">
+		<layer id="3684" name="Convert_118880" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -58278,7 +58118,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4025" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3685" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -58297,8 +58137,8 @@
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 			</output>
 		</layer>
-		<layer id="4026" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="832437240" size="1280" />
+		<layer id="3686" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="832358876" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -58306,7 +58146,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4027" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3687" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -58325,7 +58165,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4028" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3688" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -58340,7 +58180,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4029" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3689" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58361,52 +58201,7 @@
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 			</output>
 		</layer>
-		<layer id="4030" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="832438520" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4031" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="832438524" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4032" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="832438520" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4033" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="832438524" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4034" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>640</dim>
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-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>640</dim>
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-			</output>
-		</layer>
-		<layer id="4035" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="3690" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58427,15 +58222,15 @@
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 			</output>
 		</layer>
-		<layer id="4036" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3691" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4037" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
+		<layer id="3692" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -58456,8 +58251,8 @@
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 			</output>
 		</layer>
-		<layer id="4038" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 768" offset="832438528" size="491520" />
+		<layer id="3693" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 768" offset="832360156" size="491520" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -58465,7 +58260,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4039" name="Convert_230557" type="Convert" version="opset1">
+		<layer id="3694" name="Convert_118371" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -58480,8 +58275,8 @@
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 			</output>
 		</layer>
-		<layer id="4040" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="832930048" size="640" />
+		<layer id="3695" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="832851676" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -58489,7 +58284,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4041" name="Convert_230560" type="Convert" version="opset1">
+		<layer id="3696" name="Convert_118374" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -58504,7 +58299,7 @@
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 			</output>
 		</layer>
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+		<layer id="3697" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -58523,8 +58318,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4043" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="832930688" size="1280" />
+		<layer id="3698" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="832852316" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -58532,7 +58327,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4044" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3699" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -58551,7 +58346,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4045" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3700" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -58566,7 +58361,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4046" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3701" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58587,60 +58382,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4047" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="832931968" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4048" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="832931972" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4049" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="832931968" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4050" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="832931972" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4051" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>77</dim>
-					<dim>640</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>77</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4052" name="Constant_79964" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="3702" name="Constant_79964" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4053" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3703" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58661,15 +58411,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4054" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3704" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4055" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3705" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -58690,8 +58440,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4056" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 768" offset="832931976" size="491520" />
+		<layer id="3706" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 768" offset="832853596" size="491520" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -58699,7 +58449,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4057" name="Convert_230546" type="Convert" version="opset1">
+		<layer id="3707" name="Convert_118360" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -58714,8 +58464,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4058" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="833423496" size="640" />
+		<layer id="3708" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="833345116" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -58723,7 +58473,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4059" name="Convert_230549" type="Convert" version="opset1">
+		<layer id="3709" name="Convert_118363" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -58738,7 +58488,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4060" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3710" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -58757,8 +58507,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4061" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="833424136" size="1280" />
+		<layer id="3711" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="833345756" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -58766,7 +58516,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4062" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3712" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -58785,7 +58535,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4063" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3713" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -58800,7 +58550,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4064" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3714" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58821,15 +58571,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4065" name="Constant_79965" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20124000" size="32" />
+		<layer id="3715" name="Constant_79965" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20118060" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4066" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
+		<layer id="3716" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58850,15 +58600,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4067" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3717" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4068" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3718" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -58879,7 +58629,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4069" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="3719" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58910,15 +58660,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4070" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3720" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4071" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3721" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -58939,15 +58689,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4072" name="Constant_79966" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="20947080" size="24" />
+		<layer id="3722" name="Constant_79966" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="20941132" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4073" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="3723" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58968,8 +58718,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4074" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 640" offset="833425416" size="409600" />
+		<layer id="3724" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="833347036" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -58977,7 +58727,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4075" name="Convert_230975" type="Convert" version="opset1">
+		<layer id="3725" name="Convert_118888" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -58992,8 +58742,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4076" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="833835016" size="640" />
+		<layer id="3726" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="833756636" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -59001,7 +58751,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4077" name="Convert_230978" type="Convert" version="opset1">
+		<layer id="3727" name="Convert_118891" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -59016,7 +58766,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4078" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3728" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -59035,8 +58785,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4079" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="833835656" size="1280" />
+		<layer id="3729" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="833757276" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -59044,7 +58794,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4080" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3730" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -59063,7 +58813,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4081" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3731" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -59078,7 +58828,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="3732" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59099,8 +58849,8 @@
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 		</layer>
-		<layer id="4083" name="Constant_77076" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="833836936" size="2560" />
+		<layer id="3733" name="Constant_77076" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="833758556" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -59109,7 +58859,7 @@
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 		</layer>
-		<layer id="4084" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3734" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59131,7 +58881,7 @@
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 			</output>
 		</layer>
-		<layer id="4085" name="__module.up_blocks.2.attentions.2.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3735" name="__module.up_blocks.2.attentions.2.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59153,15 +58903,15 @@
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 			</output>
 		</layer>
-		<layer id="4086" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="3736" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="4087" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3737" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59181,8 +58931,8 @@
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 			</output>
 		</layer>
-		<layer id="4088" name="Constant_77077" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="833839496" size="2560" />
+		<layer id="3738" name="Constant_77077" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="833761116" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -59191,7 +58941,7 @@
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 			</output>
 		</layer>
-		<layer id="4089" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3739" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59213,8 +58963,8 @@
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 			</output>
 		</layer>
-		<layer id="4090" name="Constant_77078" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="833842056" size="2560" />
+		<layer id="3740" name="Constant_77078" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="833763676" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -59223,7 +58973,7 @@
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 			</output>
 		</layer>
-		<layer id="4091" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3741" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59245,8 +58995,8 @@
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 			</output>
 		</layer>
-		<layer id="4092" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="5120, 640" offset="833844616" size="3276800" />
+		<layer id="3742" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="5120, 640" offset="833766236" size="3276800" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>5120</dim>
@@ -59254,7 +59004,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4093" name="Convert_229611" type="Convert" version="opset1">
+		<layer id="3743" name="Convert_117106" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -59269,8 +59019,8 @@
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 			</output>
 		</layer>
-		<layer id="4094" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="5120, 1" offset="837121416" size="5120" />
+		<layer id="3744" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="5120, 1" offset="837043036" size="5120" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>5120</dim>
@@ -59278,7 +59028,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4095" name="Convert_229614" type="Convert" version="opset1">
+		<layer id="3745" name="Convert_117109" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -59293,7 +59043,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4096" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3746" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -59312,8 +59062,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4097" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="5120, 1" offset="837126536" size="10240" />
+		<layer id="3747" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="5120, 1" offset="837048156" size="10240" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>5120</dim>
@@ -59321,7 +59071,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4098" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3748" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -59340,7 +59090,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4099" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3749" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -59355,7 +59105,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4100" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3750" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59376,8 +59126,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4101" name="Constant_77079" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 5120" offset="837136776" size="20480" />
+		<layer id="3751" name="Constant_77079" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 5120" offset="837058396" size="20480" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -59386,7 +59136,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4102" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3752" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59408,7 +59158,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4103" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="3753" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59423,15 +59173,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4104" name="Constant_45471" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="6414668" size="4" />
+		<layer id="3754" name="Constant_45471" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="6413324" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4105" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
+		<layer id="3755" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -59446,7 +59196,7 @@
 				<port id="3" precision="I32" />
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 		</layer>
-		<layer id="4106" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
+		<layer id="3756" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="I32" />
@@ -59456,7 +59206,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4107" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+		<layer id="3757" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -59466,7 +59216,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4108" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+		<layer id="3758" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -59480,7 +59230,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4109" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+		<layer id="3759" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="BOOL">
@@ -59493,7 +59243,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4110" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+		<layer id="3760" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -59507,15 +59257,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4111" name="Constant_45472" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="3761" name="Constant_45472" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4112" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+		<layer id="3762" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -59531,7 +59281,7 @@
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 			</output>
 		</layer>
-		<layer id="4113" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+		<layer id="3763" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -59556,7 +59306,7 @@
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 			</output>
 		</layer>
-		<layer id="4114" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="3764" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59573,7 +59323,7 @@
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 			</output>
 		</layer>
-		<layer id="4115" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="3765" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59595,8 +59345,8 @@
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 			</output>
 		</layer>
-		<layer id="4116" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 2560" offset="837157256" size="1638400" />
+		<layer id="3766" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 2560" offset="837078876" size="1638400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -59604,7 +59354,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4117" name="Convert_230205" type="Convert" version="opset1">
+		<layer id="3767" name="Convert_117887" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -59619,8 +59369,8 @@
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 			</output>
 		</layer>
-		<layer id="4118" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="640, 1" offset="838795656" size="640" />
+		<layer id="3768" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="838717276" size="640" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>640</dim>
@@ -59628,7 +59378,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4119" name="Convert_230208" type="Convert" version="opset1">
+		<layer id="3769" name="Convert_117890" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -59643,7 +59393,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4120" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3770" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -59662,8 +59412,8 @@
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 			</output>
 		</layer>
-		<layer id="4121" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1" offset="838796296" size="1280" />
+		<layer id="3771" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="838717916" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -59671,7 +59421,7 @@
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 			</output>
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-		<layer id="4122" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3772" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -59690,7 +59440,7 @@
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 			</output>
 		</layer>
-		<layer id="4123" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3773" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -59705,7 +59455,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4124" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3774" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59726,8 +59476,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4125" name="Constant_77080" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 640" offset="838797576" size="2560" />
+		<layer id="3775" name="Constant_77080" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="838719196" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -59736,7 +59486,7 @@
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 			</output>
 		</layer>
-		<layer id="4126" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3776" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59758,7 +59508,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4127" name="__module.up_blocks.2.attentions.2.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="3777" name="__module.up_blocks.2.attentions.2.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59780,52 +59530,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4128" name="__module.up_blocks.2.attentions.2.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="838800136" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4129" name="__module.up_blocks.2.attentions.2.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="838800140" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4130" name="__module.up_blocks.2.attentions.2.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="838800136" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4131" name="__module.up_blocks.2.attentions.2.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="838800140" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="4132" name="__module.up_blocks.2.attentions.2.transformer_blocks.0/aten::add/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>640</dim>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-			<output>
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-					<dim>-1</dim>
-					<dim>640</dim>
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-			</output>
-		</layer>
-		<layer id="4133" name="__module.up_blocks.2.attentions.2/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="3778" name="__module.up_blocks.2.attentions.2/aten::size/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59841,21 +59546,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4134" name="Constant_73259" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="6826524" size="24" />
+		<layer id="3779" name="Constant_73259" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="6825172" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4135" name="Constant_73260" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="940816" size="8" />
+		<layer id="3780" name="Constant_73260" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="940160" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4136" name="Gather_73261" type="Gather" version="opset8">
+		<layer id="3781" name="Gather_73261" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -59872,15 +59577,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4137" name="Constant_37149" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="28139456" size="8" />
+		<layer id="3782" name="Constant_37149" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="28133484" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4138" name="__module.up_blocks.2.attentions.2/prim::ListConstruct_1" type="Concat" version="opset1">
+		<layer id="3783" name="__module.up_blocks.2.attentions.2/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -59896,7 +59601,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4139" name="__module.up_blocks.2.attentions.2/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3784" name="__module.up_blocks.2.attentions.2/aten::reshape/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59917,15 +59622,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4140" name="Constant_37158" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="6826556" size="32" />
+		<layer id="3785" name="Constant_37158" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="6825204" size="32" />
 			<output>
 				<port id="0" precision="I64" names="3306">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4141" name="__module.up_blocks.2.attentions.2/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3786" name="__module.up_blocks.2.attentions.2/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -59946,10 +59651,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4142" name="Constant_1241919" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 640, 1, 1" offset="838800144" size="409600" />
+		<layer id="3787" name="self.up_blocks.2.attentions.2.proj_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640, 1, 1" offset="838721756" size="409600" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -59957,10 +59662,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4143" name="Convert_1241920" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="3788" name="Convert_118899" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -59968,7 +59673,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -59976,10 +59681,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4144" name="Constant_1241921" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="839209744" size="2560" />
+		<layer id="3789" name="self.up_blocks.2.attentions.2.proj_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="839131356" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -59987,16 +59692,35 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4145" name="__module.up_blocks.2.attentions.2.proj_out/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3790" name="Convert_118902" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3791" name="self.up_blocks.2.attentions.2.proj_out.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -60004,7 +59728,62 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3792" name="self.up_blocks.2.attentions.2.proj_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="839131996" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3793" name="self.up_blocks.2.attentions.2.proj_out.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3794" name="self.up_blocks.2.attentions.2.proj_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -60012,7 +59791,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4146" name="__module.up_blocks.2.attentions.2.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3795" name="__module.up_blocks.2.attentions.2.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60037,8 +59816,8 @@
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 			</output>
 		</layer>
-		<layer id="4147" name="__module.up_blocks.2.attentions.2.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="839212304" size="2560" />
+		<layer id="3796" name="__module.up_blocks.2.attentions.2.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="839133276" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -60048,7 +59827,7 @@
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 			</output>
 		</layer>
-		<layer id="4148" name="__module.up_blocks.2.attentions.2.proj_out/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3797" name="__module.up_blocks.2.attentions.2.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60073,7 +59852,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4149" name="__module.up_blocks.2.attentions.2/aten::add/Add" type="Add" version="opset1">
+		<layer id="3798" name="__module.up_blocks.2.attentions.2/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60098,70 +59877,23 @@
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 			</output>
 		</layer>
-		<layer id="4150" name="__module.up_blocks.2.attentions.2/aten::add/Add/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="839214864" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="4151" name="__module.up_blocks.2.attentions.2/aten::add/Add/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="839214868" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="4152" name="__module.up_blocks.2.attentions.2/aten::add/Add/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="839214864" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="4153" name="__module.up_blocks.2.attentions.2/aten::add/Add/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="839214868" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="4154" name="__module.up_blocks.2.attentions.2/aten::add/Add/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>640</dim>
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-					<dim>-1</dim>
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-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
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-		<layer id="4155" name="__module.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
-			<data element_type="f32" shape="2" offset="497432692" size="8" />
+		<layer id="3799" name="__module.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="497385420" size="8" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4156" name="Constant_37215" type="Const" version="opset1">
-			<data element_type="i32" shape="2" offset="497432700" size="8" />
+		<layer id="3800" name="Constant_37215" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="497385428" size="8" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4157" name="__module.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
+		<layer id="3801" name="__module.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
 			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60186,76 +59918,84 @@
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 			</output>
 		</layer>
-		<layer id="4158" name="__module.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Interpolate/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="839214864" size="4" />
+		<layer id="3802" name="self.up_blocks.2.upsamplers.0.conv.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640, 3, 3" offset="839135836" size="3686400" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4159" name="__module.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Interpolate/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="839214868" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4160" name="__module.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Interpolate/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="839214864" size="4" />
+		<layer id="3803" name="Convert_116996" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4161" name="__module.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Interpolate/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="839214868" size="4" />
+		<layer id="3804" name="self.up_blocks.2.upsamplers.0.conv.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1, 1, 1" offset="842822236" size="640" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4162" name="__module.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Interpolate/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3805" name="Convert_116999" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4163" name="Constant_1241923" type="Const" version="opset1">
-			<data element_type="i8" shape="640, 640, 3, 3" offset="839214872" size="3686400" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="3806" name="self.up_blocks.2.upsamplers.0.conv.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4164" name="Convert_1241924" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>640</dim>
+				<port id="1" precision="FP16">
 					<dim>640</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -60263,10 +60003,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4165" name="Constant_1241925" type="Const" version="opset1">
-			<data element_type="f32" shape="640, 1, 1, 1" offset="842901272" size="2560" />
+		<layer id="3807" name="self.up_blocks.2.upsamplers.0.conv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1, 1, 1" offset="842822876" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -60274,16 +60014,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4166" name="__module.up_blocks.2.upsamplers.0.conv/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3808" name="self.up_blocks.2.upsamplers.0.conv.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -60291,7 +60031,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -60299,7 +60039,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4167" name="__module.up_blocks.2.upsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3809" name="self.up_blocks.2.upsamplers.0.conv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3810" name="__module.up_blocks.2.upsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60324,8 +60083,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4168" name="__module.up_blocks.2.upsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 640, 1, 1" offset="842903832" size="2560" />
+		<layer id="3811" name="__module.up_blocks.2.upsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="842824156" size="2560" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -60335,7 +60094,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4169" name="__module.up_blocks.2.upsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3812" name="__module.up_blocks.2.upsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60360,7 +60119,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4170" name="__module.up_blocks.3/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="3813" name="__module.up_blocks.3/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60385,76 +60144,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4171" name="__module.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="842906392" size="4" />
+		<layer id="3814" name="self.up_blocks.3.resnets.0.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 960, 1, 1" offset="842826716" size="307200" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4172" name="__module.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="842906396" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4173" name="__module.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="842906392" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4174" name="__module.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="842906396" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4175" name="__module.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3815" name="Convert_118943" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>320</dim>
 					<dim>960</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
 					<dim>960</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4176" name="Constant_1241927" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 960, 1, 1" offset="842906400" size="307200" />
+		<layer id="3816" name="self.up_blocks.3.resnets.0.conv_shortcut.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="843133916" size="320" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>320</dim>
-					<dim>960</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4177" name="Convert_1241928" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="3817" name="Convert_118946" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3818" name="self.up_blocks.3.resnets.0.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>960</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>960</dim>
 					<dim>1</dim>
@@ -60462,10 +60229,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4178" name="Constant_1241929" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="843213600" size="1280" />
+		<layer id="3819" name="self.up_blocks.3.resnets.0.conv_shortcut.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="843134236" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -60473,16 +60240,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4179" name="__module.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3820" name="self.up_blocks.3.resnets.0.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>960</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -60490,7 +60257,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3821" name="self.up_blocks.3.resnets.0.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>320</dim>
 					<dim>960</dim>
 					<dim>1</dim>
@@ -60498,7 +60284,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4180" name="__module.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3822" name="__module.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60523,8 +60309,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4181" name="__module.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="843214880" size="1280" />
+		<layer id="3823" name="__module.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="843134876" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -60534,7 +60320,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4182" name="__module.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3824" name="__module.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60559,23 +60345,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4183" name="self.up_blocks.3.resnets.0.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="960" offset="843216160" size="3840" />
+		<layer id="3825" name="self.up_blocks.3.resnets.0.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="960" offset="843136156" size="3840" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.3.resnets.0.norm1.weight">
 					<dim>960</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4184" name="self.up_blocks.3.resnets.0.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="960" offset="843220000" size="3840" />
+		<layer id="3826" name="self.up_blocks.3.resnets.0.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="960" offset="843139996" size="3840" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.3.resnets.0.norm1.bias">
 					<dim>960</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4185" name="__module.up_blocks.3.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="3827" name="__module.up_blocks.3.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60600,7 +60386,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4186" name="__module.conv_act/aten::silu/Swish_58" type="Swish" version="opset4">
+		<layer id="3828" name="__module.conv_act/aten::silu/Swish_58" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -60618,76 +60404,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4187" name="__module.conv_act/aten::silu/Swish_58/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="3829" name="self.up_blocks.3.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 960, 3, 3" offset="843143836" size="2764800" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4188" name="__module.conv_act/aten::silu/Swish_58/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="843223840" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4189" name="__module.conv_act/aten::silu/Swish_58/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4190" name="__module.conv_act/aten::silu/Swish_58/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="843223840" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>960</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4191" name="__module.conv_act/aten::silu/Swish_58/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3830" name="Convert_117117" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>320</dim>
 					<dim>960</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
 					<dim>960</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4192" name="Constant_1241931" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 960, 3, 3" offset="843223844" size="2764800" />
+		<layer id="3831" name="self.up_blocks.3.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="845908636" size="320" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>320</dim>
-					<dim>960</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4193" name="Convert_1241932" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="3832" name="Convert_117120" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3833" name="self.up_blocks.3.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>960</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>960</dim>
 					<dim>3</dim>
@@ -60695,10 +60489,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4194" name="Constant_1241933" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="845988644" size="1280" />
+		<layer id="3834" name="self.up_blocks.3.resnets.0.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="845908956" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -60706,16 +60500,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4195" name="__module.up_blocks.3.resnets.0.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3835" name="self.up_blocks.3.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>960</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -60723,7 +60517,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>960</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3836" name="self.up_blocks.3.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>960</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>320</dim>
 					<dim>960</dim>
 					<dim>3</dim>
@@ -60731,7 +60544,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4196" name="__module.up_blocks.3.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3837" name="__module.up_blocks.3.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60756,8 +60569,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4197" name="__module.up_blocks.3.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="845989924" size="1280" />
+		<layer id="3838" name="__module.up_blocks.3.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="845909596" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -60767,7 +60580,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4198" name="__module.up_blocks.3.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3839" name="__module.up_blocks.3.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60792,8 +60605,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4199" name="self.up_blocks.3.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1280" offset="845991204" size="409600" />
+		<layer id="3840" name="self.up_blocks.3.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1280" offset="845910876" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -60801,7 +60614,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4200" name="Convert_230623" type="Convert" version="opset1">
+		<layer id="3841" name="Convert_118437" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -60816,8 +60629,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4201" name="self.up_blocks.3.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="846400804" size="320" />
+		<layer id="3842" name="self.up_blocks.3.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="846320476" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -60825,7 +60638,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4202" name="Convert_230626" type="Convert" version="opset1">
+		<layer id="3843" name="Convert_118440" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -60840,7 +60653,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4203" name="self.up_blocks.3.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3844" name="self.up_blocks.3.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -60859,8 +60672,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4204" name="self.up_blocks.3.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="846401124" size="640" />
+		<layer id="3845" name="self.up_blocks.3.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="846320796" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -60868,7 +60681,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4205" name="self.up_blocks.3.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3846" name="self.up_blocks.3.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -60887,7 +60700,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4206" name="self.up_blocks.3.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3847" name="self.up_blocks.3.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -60902,7 +60715,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4207" name="__module.up_blocks.3.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3848" name="__module.up_blocks.3.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60921,8 +60734,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4208" name="Constant_77081" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320" offset="846401764" size="1280" />
+		<layer id="3849" name="Constant_77081" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320" offset="846321436" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -60930,7 +60743,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4209" name="__module.up_blocks.3.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3850" name="__module.up_blocks.3.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60949,13 +60762,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4210" name="3341" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3419248" size="8" />
+		<layer id="3851" name="3341" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="3418592" size="8" />
 			<output>
 				<port id="0" precision="I64" names="3341" />
 			</output>
 		</layer>
-		<layer id="4211" name="__module.up_blocks.3.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="3852" name="__module.up_blocks.3.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -60971,13 +60784,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4212" name="3342" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3419256" size="8" />
+		<layer id="3853" name="3342" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="3418600" size="8" />
 			<output>
 				<port id="0" precision="I64" names="3342" />
 			</output>
 		</layer>
-		<layer id="4213" name="__module.up_blocks.3.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="3854" name="__module.up_blocks.3.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -60995,7 +60808,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4214" name="__module.up_blocks.3.resnets.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="3855" name="__module.up_blocks.3.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61020,23 +60833,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4215" name="self.up_blocks.3.resnets.0.norm2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="320" offset="846403044" size="1280" />
+		<layer id="3856" name="self.up_blocks.3.resnets.0.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="846322716" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.3.resnets.0.norm2.weight">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4216" name="self.up_blocks.3.resnets.0.norm2.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="320" offset="846404324" size="1280" />
+		<layer id="3857" name="self.up_blocks.3.resnets.0.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="846323996" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.3.resnets.0.norm2.bias">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4217" name="__module.up_blocks.3.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="3858" name="__module.up_blocks.3.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61061,7 +60874,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4218" name="__module.conv_act/aten::silu/Swish_60" type="Swish" version="opset4">
+		<layer id="3859" name="__module.conv_act/aten::silu/Swish_60" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -61079,76 +60892,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4219" name="__module.conv_act/aten::silu/Swish_60/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="846405604" size="4" />
+		<layer id="3860" name="self.up_blocks.3.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320, 3, 3" offset="846325276" size="921600" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4220" name="__module.conv_act/aten::silu/Swish_60/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="846405608" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4221" name="__module.conv_act/aten::silu/Swish_60/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="846405604" size="4" />
+		<layer id="3861" name="Convert_118096" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="846405608" size="4" />
+		<layer id="3862" name="self.up_blocks.3.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="847246876" size="320" />
 			<output>
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+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3863" name="Convert_118099" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>320</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
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 			<output>
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 					<dim>320</dim>
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-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data element_type="i8" shape="320, 320, 3, 3" offset="846405612" size="921600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="3864" name="self.up_blocks.3.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
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 					<dim>320</dim>
 					<dim>3</dim>
 					<dim>3</dim>
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-			<input>
-				<port id="0" precision="I8">
-					<dim>320</dim>
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-					<dim>3</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
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 					<dim>320</dim>
 					<dim>3</dim>
@@ -61156,10 +60977,10 @@
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-			<data element_type="f32" shape="320, 1, 1, 1" offset="847327212" size="1280" />
+		<layer id="3865" name="self.up_blocks.3.resnets.0.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="847247196" size="640" />
 			<output>
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 					<dim>1</dim>
 					<dim>1</dim>
@@ -61167,16 +60988,16 @@
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 		</layer>
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+		<layer id="3866" name="self.up_blocks.3.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
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 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
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 					<dim>1</dim>
 					<dim>1</dim>
@@ -61184,7 +61005,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
@@ -61192,7 +61013,26 @@
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 			</output>
 		</layer>
-		<layer id="4228" name="__module.up_blocks.3.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3867" name="self.up_blocks.3.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3868" name="__module.up_blocks.3.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61217,8 +61057,8 @@
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 			</output>
 		</layer>
-		<layer id="4229" name="__module.up_blocks.3.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="847328492" size="1280" />
+		<layer id="3869" name="__module.up_blocks.3.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="847247836" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -61228,7 +61068,7 @@
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 			</output>
 		</layer>
-		<layer id="4230" name="__module.up_blocks.3.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3870" name="__module.up_blocks.3.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61253,7 +61093,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4231" name="__module.up_blocks.3.resnets.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3871" name="__module.up_blocks.3.resnets.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61278,23 +61118,23 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="320" offset="847329772" size="1280" />
+		<layer id="3872" name="self.up_blocks.3.attentions.0.norm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="847249116" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.3.attentions.0.norm.weight">
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 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="320" offset="847331052" size="1280" />
+		<layer id="3873" name="self.up_blocks.3.attentions.0.norm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="847250396" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.3.attentions.0.norm.bias">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4234" name="__module.up_blocks.3.attentions.0.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="3874" name="__module.up_blocks.3.attentions.0.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61319,76 +61159,84 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="847332332" size="4" />
+		<layer id="3875" name="self.up_blocks.3.attentions.0.proj_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320, 1, 1" offset="847251676" size="102400" />
 			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="4236" name="__module.up_blocks.3.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="847332336" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4237" name="__module.up_blocks.3.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="847332332" size="4" />
+		<layer id="3876" name="Convert_119273" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4238" name="__module.up_blocks.3.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="847332336" size="4" />
+		<layer id="3877" name="self.up_blocks.3.attentions.0.proj_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="847354076" size="320" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="4239" name="__module.up_blocks.3.attentions.0.norm/aten::group_norm/GroupNormalization/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="3878" name="Convert_119276" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4240" name="Constant_1241939" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 320, 1, 1" offset="847332340" size="102400" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="3879" name="self.up_blocks.3.attentions.0.proj_in.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
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-		<layer id="4241" name="Convert_1241940" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>320</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -61396,10 +61244,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4242" name="Constant_1241941" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="847434740" size="1280" />
+		<layer id="3880" name="self.up_blocks.3.attentions.0.proj_in.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="847354396" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -61407,16 +61255,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4243" name="__module.up_blocks.3.attentions.0.proj_in/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3881" name="self.up_blocks.3.attentions.0.proj_in.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -61424,7 +61272,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -61432,7 +61280,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4244" name="__module.up_blocks.3.attentions.0.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3882" name="self.up_blocks.3.attentions.0.proj_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3883" name="__module.up_blocks.3.attentions.0.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61457,8 +61324,8 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 320, 1, 1" offset="847436020" size="1280" />
+		<layer id="3884" name="__module.up_blocks.3.attentions.0.proj_in/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="847355036" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -61468,7 +61335,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4246" name="__module.up_blocks.3.attentions.0.proj_in/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="3885" name="__module.up_blocks.3.attentions.0.proj_in/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61493,15 +61360,15 @@
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 			</output>
 		</layer>
-		<layer id="4247" name="Constant_37592" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4453520" size="32" />
+		<layer id="3886" name="Constant_37592" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4452208" size="32" />
 			<output>
 				<port id="0" precision="I64" names="3432">
 					<dim>4</dim>
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 			</output>
 		</layer>
-		<layer id="4248" name="__module.up_blocks.3.attentions.0/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="3887" name="__module.up_blocks.3.attentions.0/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -61522,15 +61389,15 @@
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 			</output>
 		</layer>
-		<layer id="4249" name="Constant_79967" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="4453552" size="24" />
+		<layer id="3888" name="Constant_79967" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="4452240" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
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 		</layer>
-		<layer id="4250" name="__module.up_blocks.3.attentions.0/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="3889" name="__module.up_blocks.3.attentions.0/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61551,15 +61418,15 @@
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 			</output>
 		</layer>
-		<layer id="4251" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="3890" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="3891" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61579,8 +61446,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4253" name="Constant_77082" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="847437300" size="1280" />
+		<layer id="3892" name="Constant_77082" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="847356316" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -61589,7 +61456,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4254" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3893" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61611,8 +61478,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4255" name="Constant_77083" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="847438580" size="1280" />
+		<layer id="3894" name="Constant_77083" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="847357596" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -61621,7 +61488,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4256" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3895" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61643,8 +61510,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4257" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 320" offset="847439860" size="102400" />
+		<layer id="3896" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="847358876" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -61652,7 +61519,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4258" name="Convert_231283" type="Convert" version="opset1">
+		<layer id="3897" name="Convert_119306" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -61667,8 +61534,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4259" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="847542260" size="320" />
+		<layer id="3898" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="847461276" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -61676,7 +61543,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4260" name="Convert_231286" type="Convert" version="opset1">
+		<layer id="3899" name="Convert_119309" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -61691,7 +61558,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4261" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3900" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -61710,8 +61577,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4262" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="847542580" size="640" />
+		<layer id="3901" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="847461596" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -61719,7 +61586,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4263" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3902" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -61738,7 +61605,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4264" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3903" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -61753,7 +61620,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4265" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3904" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61774,60 +61641,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4266" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="847543220" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4267" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="847543224" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4268" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="847543220" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4269" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="847543224" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4270" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>320</dim>
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-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>320</dim>
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-			</output>
-		</layer>
-		<layer id="4271" name="Constant_79968" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4559508" size="32" />
+		<layer id="3905" name="Constant_79968" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4272" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="3906" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61848,15 +61670,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4273" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3907" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4274" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
+		<layer id="3908" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -61877,8 +61699,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4275" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 320" offset="847543228" size="102400" />
+		<layer id="3909" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="847462236" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -61886,7 +61708,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4276" name="Convert_231272" type="Convert" version="opset1">
+		<layer id="3910" name="Convert_119295" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -61901,8 +61723,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4277" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="847645628" size="320" />
+		<layer id="3911" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="847564636" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -61910,7 +61732,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4278" name="Convert_231275" type="Convert" version="opset1">
+		<layer id="3912" name="Convert_119298" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -61925,7 +61747,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4279" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3913" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -61944,8 +61766,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4280" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="847645948" size="640" />
+		<layer id="3914" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="847564956" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -61953,7 +61775,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4281" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3915" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -61972,7 +61794,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4282" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3916" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -61987,7 +61809,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="3917" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62008,60 +61830,15 @@
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 			</output>
 		</layer>
-		<layer id="4284" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="847646588" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="4285" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="847646592" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="4286" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="847646588" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="4287" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="847646592" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4288" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-					<dim>-1</dim>
-					<dim>320</dim>
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-		</layer>
-		<layer id="4289" name="Constant_79969" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4559508" size="32" />
+		<layer id="3918" name="Constant_79969" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="3919" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62082,15 +61859,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3920" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4292" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3921" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62111,8 +61888,8 @@
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 		</layer>
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-			<data element_type="u8" shape="320, 320" offset="847646596" size="102400" />
+		<layer id="3922" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="847565596" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -62120,7 +61897,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4294" name="Convert_231261" type="Convert" version="opset1">
+		<layer id="3923" name="Convert_119284" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -62135,8 +61912,8 @@
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 			</output>
 		</layer>
-		<layer id="4295" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="847748996" size="320" />
+		<layer id="3924" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="847667996" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -62144,7 +61921,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4296" name="Convert_231264" type="Convert" version="opset1">
+		<layer id="3925" name="Convert_119287" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -62159,7 +61936,7 @@
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 			</output>
 		</layer>
-		<layer id="4297" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3926" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -62178,8 +61955,8 @@
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 			</output>
 		</layer>
-		<layer id="4298" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="847749316" size="640" />
+		<layer id="3927" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="847668316" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -62187,7 +61964,7 @@
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 			</output>
 		</layer>
-		<layer id="4299" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3928" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -62206,7 +61983,7 @@
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 			</output>
 		</layer>
-		<layer id="4300" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3929" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -62221,7 +61998,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4301" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3930" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62242,15 +62019,15 @@
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 			</output>
 		</layer>
-		<layer id="4302" name="Constant_79970" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4559508" size="32" />
+		<layer id="3931" name="Constant_79970" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4303" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
+		<layer id="3932" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62271,15 +62048,15 @@
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 			</output>
 		</layer>
-		<layer id="4304" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3933" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4305" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3934" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62300,7 +62077,7 @@
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 			</output>
 		</layer>
-		<layer id="4306" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="3935" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62331,15 +62108,15 @@
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 			</output>
 		</layer>
-		<layer id="4307" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3936" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4308" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3937" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62360,15 +62137,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4309" name="Constant_79971" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="4766284" size="24" />
+		<layer id="3938" name="Constant_79971" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="4764956" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4310" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="3939" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62389,8 +62166,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4311" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 320" offset="847749956" size="102400" />
+		<layer id="3940" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="847668956" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -62398,7 +62175,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4312" name="Convert_231294" type="Convert" version="opset1">
+		<layer id="3941" name="Convert_119317" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -62413,8 +62190,8 @@
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 			</output>
 		</layer>
-		<layer id="4313" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="847852356" size="320" />
+		<layer id="3942" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="847771356" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -62422,7 +62199,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4314" name="Convert_231297" type="Convert" version="opset1">
+		<layer id="3943" name="Convert_119320" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -62437,7 +62214,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4315" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3944" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -62456,8 +62233,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4316" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="847852676" size="640" />
+		<layer id="3945" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="847771676" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -62465,7 +62242,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4317" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3946" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -62484,7 +62261,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4318" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3947" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -62499,7 +62276,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4319" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3948" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62520,8 +62297,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4320" name="Constant_77084" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="847853316" size="1280" />
+		<layer id="3949" name="Constant_77084" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="847772316" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -62530,7 +62307,7 @@
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 			</output>
 		</layer>
-		<layer id="4321" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3950" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62552,7 +62329,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4322" name="__module.up_blocks.3.attentions.0.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="3951" name="__module.up_blocks.3.attentions.0.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62574,15 +62351,15 @@
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 			</output>
 		</layer>
-		<layer id="4323" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="3952" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4324" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3953" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62602,8 +62379,8 @@
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 			</output>
 		</layer>
-		<layer id="4325" name="Constant_77085" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="847854596" size="1280" />
+		<layer id="3954" name="Constant_77085" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="847773596" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -62612,7 +62389,7 @@
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 			</output>
 		</layer>
-		<layer id="4326" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3955" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62634,8 +62411,8 @@
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 			</output>
 		</layer>
-		<layer id="4327" name="Constant_77086" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="847855876" size="1280" />
+		<layer id="3956" name="Constant_77086" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="847774876" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -62644,7 +62421,7 @@
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 			</output>
 		</layer>
-		<layer id="4328" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3957" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62666,8 +62443,8 @@
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 			</output>
 		</layer>
-		<layer id="4329" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 320" offset="847857156" size="102400" />
+		<layer id="3958" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="847776156" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -62675,7 +62452,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4330" name="Convert_231305" type="Convert" version="opset1">
+		<layer id="3959" name="Convert_119328" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -62690,8 +62467,8 @@
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 			</output>
 		</layer>
-		<layer id="4331" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="847959556" size="320" />
+		<layer id="3960" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="847878556" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -62699,7 +62476,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4332" name="Convert_231308" type="Convert" version="opset1">
+		<layer id="3961" name="Convert_119331" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -62714,7 +62491,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4333" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3962" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -62733,8 +62510,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4334" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="847959876" size="640" />
+		<layer id="3963" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="847878876" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -62742,7 +62519,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4335" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3964" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -62761,7 +62538,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4336" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3965" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -62776,7 +62553,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4337" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3966" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62797,52 +62574,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4338" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="847960516" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4339" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="847960520" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4340" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="847960516" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4341" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="847960520" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4342" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>320</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4343" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="3967" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62863,15 +62595,15 @@
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 			</output>
 		</layer>
-		<layer id="4344" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3968" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4345" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
+		<layer id="3969" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62892,8 +62624,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4346" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 768" offset="847960524" size="245760" />
+		<layer id="3970" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="847879516" size="245760" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -62901,7 +62633,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4347" name="Convert_231074" type="Convert" version="opset1">
+		<layer id="3971" name="Convert_119009" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -62916,8 +62648,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4348" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="848206284" size="320" />
+		<layer id="3972" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="848125276" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -62925,7 +62657,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4349" name="Convert_231077" type="Convert" version="opset1">
+		<layer id="3973" name="Convert_119012" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -62940,7 +62672,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4350" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3974" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -62959,8 +62691,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4351" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="848206604" size="640" />
+		<layer id="3975" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="848125596" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -62968,7 +62700,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4352" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3976" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -62987,7 +62719,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4353" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3977" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -63002,7 +62734,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4354" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3978" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63023,60 +62755,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4355" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="848207244" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4356" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="848207248" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4357" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="848207244" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4358" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="848207248" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4359" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>77</dim>
-					<dim>320</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>77</dim>
-					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4360" name="Constant_79972" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4559508" size="32" />
+		<layer id="3979" name="Constant_79972" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4361" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3980" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63097,15 +62784,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4362" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3981" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4363" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3982" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -63126,8 +62813,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4364" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 768" offset="848207252" size="245760" />
+		<layer id="3983" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="848126236" size="245760" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -63135,7 +62822,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4365" name="Convert_231063" type="Convert" version="opset1">
+		<layer id="3984" name="Convert_118998" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -63150,8 +62837,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4366" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="848453012" size="320" />
+		<layer id="3985" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="848371996" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -63159,7 +62846,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4367" name="Convert_231066" type="Convert" version="opset1">
+		<layer id="3986" name="Convert_119001" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -63174,7 +62861,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4368" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3987" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -63193,8 +62880,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4369" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="848453332" size="640" />
+		<layer id="3988" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="848372316" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -63202,7 +62889,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4370" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3989" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -63221,7 +62908,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4371" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3990" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -63236,7 +62923,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4372" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3991" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63257,15 +62944,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4373" name="Constant_79973" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4559508" size="32" />
+		<layer id="3992" name="Constant_79973" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
 			<output>
 				<port id="0" precision="I64">
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 				</port>
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 		</layer>
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+		<layer id="3993" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
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 				<port id="0" precision="FP32">
@@ -63286,15 +62973,15 @@
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 			</output>
 		</layer>
-		<layer id="4375" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3994" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
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 		</layer>
-		<layer id="4376" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3995" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -63315,7 +63002,7 @@
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 			</output>
 		</layer>
-		<layer id="4377" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="3996" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63346,15 +63033,15 @@
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 			</output>
 		</layer>
-		<layer id="4378" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="3997" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
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 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4379" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3998" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -63375,15 +63062,15 @@
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 			</output>
 		</layer>
-		<layer id="4380" name="Constant_79974" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="4766284" size="24" />
+		<layer id="3999" name="Constant_79974" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="4764956" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="4000" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63404,8 +63091,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4382" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 320" offset="848453972" size="102400" />
+		<layer id="4001" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="848372956" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -63413,7 +63100,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4383" name="Convert_231316" type="Convert" version="opset1">
+		<layer id="4002" name="Convert_119339" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -63428,8 +63115,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4384" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="848556372" size="320" />
+		<layer id="4003" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="848475356" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -63437,7 +63124,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4385" name="Convert_231319" type="Convert" version="opset1">
+		<layer id="4004" name="Convert_119342" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -63452,7 +63139,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4386" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4005" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -63471,8 +63158,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4387" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="848556692" size="640" />
+		<layer id="4006" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="848475676" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -63480,7 +63167,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4388" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4007" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -63499,7 +63186,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4389" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4008" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -63514,7 +63201,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4390" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4009" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63535,8 +63222,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4391" name="Constant_77087" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="848557332" size="1280" />
+		<layer id="4010" name="Constant_77087" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="848476316" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -63545,7 +63232,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4392" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4011" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63567,7 +63254,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4393" name="__module.up_blocks.3.attentions.0.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4012" name="__module.up_blocks.3.attentions.0.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63589,15 +63276,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4394" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="4013" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4395" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4014" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63617,8 +63304,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4396" name="Constant_77088" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="848558612" size="1280" />
+		<layer id="4015" name="Constant_77088" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="848477596" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -63627,7 +63314,7 @@
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 			</output>
 		</layer>
-		<layer id="4397" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="4016" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63649,8 +63336,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4398" name="Constant_77089" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="848559892" size="1280" />
+		<layer id="4017" name="Constant_77089" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="848478876" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -63659,7 +63346,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4399" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4018" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63681,8 +63368,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4400" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 320" offset="848561172" size="819200" />
+		<layer id="4019" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 320" offset="848480156" size="819200" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -63690,7 +63377,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4401" name="Convert_230425" type="Convert" version="opset1">
+		<layer id="4020" name="Convert_118228" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -63705,8 +63392,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4402" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="849380372" size="2560" />
+		<layer id="4021" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="849299356" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -63714,7 +63401,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4403" name="Convert_230428" type="Convert" version="opset1">
+		<layer id="4022" name="Convert_118231" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -63729,7 +63416,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4404" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4023" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -63748,8 +63435,8 @@
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 			</output>
 		</layer>
-		<layer id="4405" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="849382932" size="5120" />
+		<layer id="4024" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="849301916" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -63757,7 +63444,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4406" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4025" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -63776,7 +63463,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4407" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4026" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -63791,7 +63478,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4408" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4027" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63812,8 +63499,8 @@
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 			</output>
 		</layer>
-		<layer id="4409" name="Constant_77090" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="849388052" size="10240" />
+		<layer id="4028" name="Constant_77090" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="849307036" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -63822,7 +63509,7 @@
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 			</output>
 		</layer>
-		<layer id="4410" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4029" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63844,13 +63531,13 @@
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 			</output>
 		</layer>
-		<layer id="4411" name="3331" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4976876" size="8" />
+		<layer id="4030" name="3331" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4975540" size="8" />
 			<output>
 				<port id="0" precision="I64" names="3331" />
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 		</layer>
-		<layer id="4412" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="4031" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63865,15 +63552,15 @@
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 			</output>
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-		<layer id="4413" name="Constant_45543" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="6414668" size="4" />
+		<layer id="4032" name="Constant_45543" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="6413324" size="4" />
 			<output>
 				<port id="0" precision="I32">
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 			</output>
 		</layer>
-		<layer id="4414" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
+		<layer id="4033" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -63888,13 +63575,13 @@
 				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4415" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="6414672" size="4" />
+		<layer id="4034" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="6413328" size="4" />
 			<output>
 				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4416" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
+		<layer id="4035" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="I32" />
@@ -63904,7 +63591,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4417" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+		<layer id="4036" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -63914,7 +63601,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4418" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+		<layer id="4037" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -63928,7 +63615,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4419" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+		<layer id="4038" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="BOOL">
@@ -63941,7 +63628,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4420" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+		<layer id="4039" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -63955,15 +63642,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4421" name="Constant_45544" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="4040" name="Constant_45544" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4422" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+		<layer id="4041" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -63979,7 +63666,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4423" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+		<layer id="4042" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -64004,7 +63691,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4424" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="4043" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64021,7 +63708,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4425" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="4044" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64043,8 +63730,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4426" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1280" offset="849398292" size="409600" />
+		<layer id="4045" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1280" offset="849317276" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -64052,7 +63739,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4427" name="Convert_230986" type="Convert" version="opset1">
+		<layer id="4046" name="Convert_118910" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -64067,8 +63754,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4428" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="849807892" size="320" />
+		<layer id="4047" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="849726876" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -64076,7 +63763,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4429" name="Convert_230989" type="Convert" version="opset1">
+		<layer id="4048" name="Convert_118913" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -64091,7 +63778,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4430" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4049" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -64110,8 +63797,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4431" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="849808212" size="640" />
+		<layer id="4050" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="849727196" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -64119,7 +63806,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4432" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4051" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -64138,7 +63825,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4433" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4052" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -64153,7 +63840,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4434" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4053" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64174,8 +63861,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4435" name="Constant_77091" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="849808852" size="1280" />
+		<layer id="4054" name="Constant_77091" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="849727836" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -64184,7 +63871,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4436" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4055" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64206,7 +63893,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4437" name="__module.up_blocks.3.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="4056" name="__module.up_blocks.3.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64228,52 +63915,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4438" name="__module.up_blocks.3.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="849810132" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4439" name="__module.up_blocks.3.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="849810136" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4440" name="__module.up_blocks.3.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="849810132" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4441" name="__module.up_blocks.3.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="849810136" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4442" name="__module.up_blocks.3.attentions.0.transformer_blocks.0/aten::add/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>320</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4443" name="__module.up_blocks.3.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="4057" name="__module.up_blocks.3.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64289,21 +63931,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4444" name="Constant_73268" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="6826524" size="24" />
+		<layer id="4058" name="Constant_73268" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="6825172" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4445" name="Constant_73269" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="940816" size="8" />
+		<layer id="4059" name="Constant_73269" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="940160" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4446" name="Gather_73270" type="Gather" version="opset8">
+		<layer id="4060" name="Gather_73270" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -64320,15 +63962,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4447" name="Constant_38889" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="6826548" size="8" />
+		<layer id="4061" name="Constant_38889" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="6825196" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4448" name="__module.up_blocks.3.attentions.0/prim::ListConstruct_1" type="Concat" version="opset1">
+		<layer id="4062" name="__module.up_blocks.3.attentions.0/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -64344,7 +63986,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4449" name="__module.up_blocks.3.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+		<layer id="4063" name="__module.up_blocks.3.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64365,15 +64007,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4450" name="Constant_38898" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="6826556" size="32" />
+		<layer id="4064" name="Constant_38898" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="6825204" size="32" />
 			<output>
 				<port id="0" precision="I64" names="3556">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4451" name="__module.up_blocks.3.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="4065" name="__module.up_blocks.3.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -64394,10 +64036,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4452" name="Constant_1241943" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 320, 1, 1" offset="849810140" size="102400" />
+		<layer id="4066" name="self.up_blocks.3.attentions.0.proj_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320, 1, 1" offset="849729116" size="102400" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -64405,10 +64047,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4453" name="Convert_1241944" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="4067" name="Convert_119350" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -64416,7 +64058,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -64424,10 +64066,29 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4454" name="Constant_1241945" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="849912540" size="1280" />
+		<layer id="4068" name="self.up_blocks.3.attentions.0.proj_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="849831516" size="320" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4069" name="Convert_119353" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -64435,16 +64096,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4455" name="__module.up_blocks.3.attentions.0.proj_out/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4070" name="self.up_blocks.3.attentions.0.proj_out.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -64452,7 +64113,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4071" name="self.up_blocks.3.attentions.0.proj_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="849831836" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4072" name="self.up_blocks.3.attentions.0.proj_out.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -64460,7 +64157,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4456" name="__module.up_blocks.3.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="4073" name="self.up_blocks.3.attentions.0.proj_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4074" name="__module.up_blocks.3.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64485,8 +64201,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4457" name="__module.up_blocks.3.attentions.0.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="849913820" size="1280" />
+		<layer id="4075" name="__module.up_blocks.3.attentions.0.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="849832476" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -64496,7 +64212,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4458" name="__module.up_blocks.3.attentions.0.proj_out/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="4076" name="__module.up_blocks.3.attentions.0.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64521,7 +64237,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4459" name="__module.up_blocks.3.attentions.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="4077" name="__module.up_blocks.3.attentions.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64546,7 +64262,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4460" name="__module.up_blocks.3/aten::cat/Concat_1" type="Concat" version="opset1">
+		<layer id="4078" name="__module.up_blocks.3/aten::cat/Concat_1" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64571,76 +64287,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4461" name="__module.up_blocks.3.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="849915100" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4462" name="__module.up_blocks.3.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="849915104" size="4" />
+		<layer id="4079" name="self.up_blocks.3.resnets.1.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 640, 1, 1" offset="849833756" size="204800" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4463" name="__module.up_blocks.3.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="849915100" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4464" name="__module.up_blocks.3.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="849915104" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4465" name="__module.up_blocks.3.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="4080" name="Convert_119075" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>320</dim>
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4466" name="Constant_1241947" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 640, 1, 1" offset="849915108" size="204800" />
+		<layer id="4081" name="self.up_blocks.3.resnets.1.conv_shortcut.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="850038556" size="320" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>320</dim>
-					<dim>640</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4467" name="Convert_1241948" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="4082" name="Convert_119078" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4083" name="self.up_blocks.3.resnets.1.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -64648,10 +64372,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4468" name="Constant_1241949" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="850119908" size="1280" />
+		<layer id="4084" name="self.up_blocks.3.resnets.1.conv_shortcut.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="850038876" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -64659,16 +64383,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4469" name="__module.up_blocks.3.resnets.1.conv_shortcut/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4085" name="self.up_blocks.3.resnets.1.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -64676,7 +64400,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4086" name="self.up_blocks.3.resnets.1.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>320</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -64684,7 +64427,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4470" name="__module.up_blocks.3.resnets.1.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="4087" name="__module.up_blocks.3.resnets.1.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64709,8 +64452,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4471" name="__module.up_blocks.3.resnets.1.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="850121188" size="1280" />
+		<layer id="4088" name="__module.up_blocks.3.resnets.1.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="850039516" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -64720,7 +64463,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4472" name="__module.up_blocks.3.resnets.1.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="4089" name="__module.up_blocks.3.resnets.1.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64745,23 +64488,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4473" name="self.up_blocks.3.resnets.1.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="640" offset="850122468" size="2560" />
+		<layer id="4090" name="self.up_blocks.3.resnets.1.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="850040796" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.3.resnets.1.norm1.weight">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4474" name="self.up_blocks.3.resnets.1.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="640" offset="850125028" size="2560" />
+		<layer id="4091" name="self.up_blocks.3.resnets.1.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="850043356" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.3.resnets.1.norm1.bias">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4475" name="__module.up_blocks.3.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="4092" name="__module.up_blocks.3.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64786,7 +64529,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4476" name="__module.conv_act/aten::silu/Swish_61" type="Swish" version="opset4">
+		<layer id="4093" name="__module.conv_act/aten::silu/Swish_61" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -64804,76 +64547,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4477" name="__module.conv_act/aten::silu/Swish_61/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="4094" name="self.up_blocks.3.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 640, 3, 3" offset="850045916" size="1843200" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4478" name="__module.conv_act/aten::silu/Swish_61/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="850127588" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4479" name="__module.conv_act/aten::silu/Swish_61/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4480" name="__module.conv_act/aten::silu/Swish_61/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="850127588" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4481" name="__module.conv_act/aten::silu/Swish_61/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="4095" name="Convert_117150" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>320</dim>
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4482" name="Constant_1241951" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 640, 3, 3" offset="850127592" size="1843200" />
+		<layer id="4096" name="self.up_blocks.3.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="851889116" size="320" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>320</dim>
-					<dim>640</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4483" name="Convert_1241952" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="4097" name="Convert_117153" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4098" name="self.up_blocks.3.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -64881,10 +64632,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4484" name="Constant_1241953" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="851970792" size="1280" />
+		<layer id="4099" name="self.up_blocks.3.resnets.1.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="851889436" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -64892,16 +64643,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4485" name="__module.up_blocks.3.resnets.1.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4100" name="self.up_blocks.3.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -64909,7 +64660,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4101" name="self.up_blocks.3.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>320</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -64917,7 +64687,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4486" name="__module.up_blocks.3.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="4102" name="__module.up_blocks.3.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64942,8 +64712,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4487" name="__module.up_blocks.3.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="851972072" size="1280" />
+		<layer id="4103" name="__module.up_blocks.3.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="851890076" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -64953,7 +64723,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4488" name="__module.up_blocks.3.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="4104" name="__module.up_blocks.3.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64978,8 +64748,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4489" name="self.up_blocks.3.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1280" offset="851973352" size="409600" />
+		<layer id="4105" name="self.up_blocks.3.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1280" offset="851891356" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -64987,7 +64757,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4490" name="Convert_230590" type="Convert" version="opset1">
+		<layer id="4106" name="Convert_118404" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -65002,8 +64772,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4491" name="self.up_blocks.3.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="852382952" size="320" />
+		<layer id="4107" name="self.up_blocks.3.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="852300956" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -65011,7 +64781,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4492" name="Convert_230593" type="Convert" version="opset1">
+		<layer id="4108" name="Convert_118407" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -65026,7 +64796,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4493" name="self.up_blocks.3.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4109" name="self.up_blocks.3.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -65045,8 +64815,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4494" name="self.up_blocks.3.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="852383272" size="640" />
+		<layer id="4110" name="self.up_blocks.3.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="852301276" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -65054,7 +64824,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4495" name="self.up_blocks.3.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4111" name="self.up_blocks.3.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -65073,7 +64843,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4496" name="self.up_blocks.3.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4112" name="self.up_blocks.3.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -65088,7 +64858,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4497" name="__module.up_blocks.3.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4113" name="__module.up_blocks.3.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65107,8 +64877,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4498" name="Constant_77092" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320" offset="852383912" size="1280" />
+		<layer id="4114" name="Constant_77092" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320" offset="852301916" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -65116,7 +64886,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4499" name="__module.up_blocks.3.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4115" name="__module.up_blocks.3.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65135,7 +64905,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4500" name="__module.up_blocks.3.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="4116" name="__module.up_blocks.3.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65151,7 +64921,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4501" name="__module.up_blocks.3.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="4117" name="__module.up_blocks.3.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65169,7 +64939,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4502" name="__module.up_blocks.3.resnets.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="4118" name="__module.up_blocks.3.resnets.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65194,23 +64964,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4503" name="self.up_blocks.3.resnets.1.norm2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="320" offset="852385192" size="1280" />
+		<layer id="4119" name="self.up_blocks.3.resnets.1.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="852303196" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.3.resnets.1.norm2.weight">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4504" name="self.up_blocks.3.resnets.1.norm2.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="320" offset="852386472" size="1280" />
+		<layer id="4120" name="self.up_blocks.3.resnets.1.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="852304476" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.3.resnets.1.norm2.bias">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4505" name="__module.up_blocks.3.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="4121" name="__module.up_blocks.3.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65235,7 +65005,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4506" name="__module.conv_act/aten::silu/Swish_63" type="Swish" version="opset4">
+		<layer id="4122" name="__module.conv_act/aten::silu/Swish_63" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65253,76 +65023,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4507" name="__module.conv_act/aten::silu/Swish_63/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="852387752" size="4" />
+		<layer id="4123" name="self.up_blocks.3.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320, 3, 3" offset="852305756" size="921600" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4508" name="__module.conv_act/aten::silu/Swish_63/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="852387756" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4509" name="__module.conv_act/aten::silu/Swish_63/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="852387752" size="4" />
+		<layer id="4124" name="Convert_118107" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4510" name="__module.conv_act/aten::silu/Swish_63/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="852387756" size="4" />
+		<layer id="4125" name="self.up_blocks.3.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="853227356" size="320" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4511" name="__module.conv_act/aten::silu/Swish_63/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="4126" name="Convert_118110" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4512" name="Constant_1241955" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 320, 3, 3" offset="852387760" size="921600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="4127" name="self.up_blocks.3.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
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-		</layer>
-		<layer id="4513" name="Convert_1241956" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>320</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
@@ -65330,10 +65108,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4514" name="Constant_1241957" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="853309360" size="1280" />
+		<layer id="4128" name="self.up_blocks.3.resnets.1.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="853227676" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -65341,16 +65119,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4515" name="__module.up_blocks.3.resnets.1.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4129" name="self.up_blocks.3.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -65358,7 +65136,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
@@ -65366,7 +65144,26 @@
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 			</output>
 		</layer>
-		<layer id="4516" name="__module.up_blocks.3.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="4130" name="self.up_blocks.3.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4131" name="__module.up_blocks.3.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65391,8 +65188,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4517" name="__module.up_blocks.3.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="853310640" size="1280" />
+		<layer id="4132" name="__module.up_blocks.3.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="853228316" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -65402,7 +65199,7 @@
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 			</output>
 		</layer>
-		<layer id="4518" name="__module.up_blocks.3.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="4133" name="__module.up_blocks.3.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65427,7 +65224,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4519" name="__module.up_blocks.3.resnets.1/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4134" name="__module.up_blocks.3.resnets.1/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65452,23 +65249,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4520" name="self.up_blocks.3.attentions.1.norm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="320" offset="853311920" size="1280" />
+		<layer id="4135" name="self.up_blocks.3.attentions.1.norm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="853229596" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.3.attentions.1.norm.weight">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="320" offset="853313200" size="1280" />
+		<layer id="4136" name="self.up_blocks.3.attentions.1.norm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="853230876" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.3.attentions.1.norm.bias">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4522" name="__module.up_blocks.3.attentions.1.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="4137" name="__module.up_blocks.3.attentions.1.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65493,76 +65290,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4523" name="__module.up_blocks.3.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="853314480" size="4" />
+		<layer id="4138" name="self.up_blocks.3.attentions.1.proj_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320, 1, 1" offset="853232156" size="102400" />
 			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="4524" name="__module.up_blocks.3.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="853314484" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4525" name="__module.up_blocks.3.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="853314480" size="4" />
+		<layer id="4139" name="Convert_119361" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4526" name="__module.up_blocks.3.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="853314484" size="4" />
+		<layer id="4140" name="self.up_blocks.3.attentions.1.proj_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="853334556" size="320" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4527" name="__module.up_blocks.3.attentions.1.norm/aten::group_norm/GroupNormalization/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="4141" name="Convert_119364" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4528" name="Constant_1241959" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 320, 1, 1" offset="853314488" size="102400" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="4142" name="self.up_blocks.3.attentions.1.proj_in.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4529" name="Convert_1241960" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>320</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -65570,10 +65375,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4530" name="Constant_1241961" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="853416888" size="1280" />
+		<layer id="4143" name="self.up_blocks.3.attentions.1.proj_in.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="853334876" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -65581,16 +65386,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4531" name="__module.up_blocks.3.attentions.1.proj_in/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4144" name="self.up_blocks.3.attentions.1.proj_in.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -65598,7 +65403,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -65606,7 +65411,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4532" name="__module.up_blocks.3.attentions.1.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="4145" name="self.up_blocks.3.attentions.1.proj_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4146" name="__module.up_blocks.3.attentions.1.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65631,8 +65455,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4533" name="__module.up_blocks.3.attentions.1.proj_in/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="853418168" size="1280" />
+		<layer id="4147" name="__module.up_blocks.3.attentions.1.proj_in/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="853335516" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -65642,7 +65466,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4534" name="__module.up_blocks.3.attentions.1.proj_in/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="4148" name="__module.up_blocks.3.attentions.1.proj_in/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65667,15 +65491,15 @@
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 			</output>
 		</layer>
-		<layer id="4535" name="Constant_39241" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4453520" size="32" />
+		<layer id="4149" name="Constant_39241" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4452208" size="32" />
 			<output>
 				<port id="0" precision="I64" names="3641">
 					<dim>4</dim>
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 			</output>
 		</layer>
-		<layer id="4536" name="__module.up_blocks.3.attentions.1/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="4150" name="__module.up_blocks.3.attentions.1/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65696,15 +65520,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4537" name="Constant_79975" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="4453552" size="24" />
+		<layer id="4151" name="Constant_79975" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="4452240" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4538" name="__module.up_blocks.3.attentions.1/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="4152" name="__module.up_blocks.3.attentions.1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65725,15 +65549,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4539" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="4153" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4540" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4154" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65753,8 +65577,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4541" name="Constant_77093" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="853419448" size="1280" />
+		<layer id="4155" name="Constant_77093" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="853336796" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -65763,7 +65587,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4542" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="4156" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65785,8 +65609,8 @@
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 			</output>
 		</layer>
-		<layer id="4543" name="Constant_77094" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="853420728" size="1280" />
+		<layer id="4157" name="Constant_77094" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="853338076" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -65795,7 +65619,7 @@
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 			</output>
 		</layer>
-		<layer id="4544" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4158" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65817,8 +65641,8 @@
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 			</output>
 		</layer>
-		<layer id="4545" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 320" offset="853422008" size="102400" />
+		<layer id="4159" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="853339356" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -65826,7 +65650,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4546" name="Convert_231349" type="Convert" version="opset1">
+		<layer id="4160" name="Convert_119394" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -65841,8 +65665,8 @@
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 			</output>
 		</layer>
-		<layer id="4547" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="853524408" size="320" />
+		<layer id="4161" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="853441756" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -65850,7 +65674,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4548" name="Convert_231352" type="Convert" version="opset1">
+		<layer id="4162" name="Convert_119397" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -65865,7 +65689,7 @@
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 			</output>
 		</layer>
-		<layer id="4549" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4163" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -65884,8 +65708,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4550" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="853524728" size="640" />
+		<layer id="4164" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="853442076" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -65893,7 +65717,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4551" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4165" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -65912,7 +65736,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4552" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4166" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -65927,7 +65751,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4553" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4167" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65948,60 +65772,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4554" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="853525368" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4555" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="853525372" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4556" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="853525368" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4557" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="853525372" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4558" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>320</dim>
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-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4559" name="Constant_79976" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4559508" size="32" />
+		<layer id="4168" name="Constant_79976" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4560" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="4169" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66022,15 +65801,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4561" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="4170" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4562" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
+		<layer id="4171" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -66051,8 +65830,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4563" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 320" offset="853525376" size="102400" />
+		<layer id="4172" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="853442716" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -66060,7 +65839,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4564" name="Convert_231338" type="Convert" version="opset1">
+		<layer id="4173" name="Convert_119383" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -66075,8 +65854,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4565" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="853627776" size="320" />
+		<layer id="4174" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="853545116" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -66084,7 +65863,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4566" name="Convert_231341" type="Convert" version="opset1">
+		<layer id="4175" name="Convert_119386" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -66099,7 +65878,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4567" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4176" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -66118,8 +65897,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4568" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="853628096" size="640" />
+		<layer id="4177" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="853545436" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -66127,7 +65906,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4569" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4178" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -66146,7 +65925,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4570" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4179" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -66161,7 +65940,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4571" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4180" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66182,60 +65961,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4572" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="853628736" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4573" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="853628740" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4574" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="853628736" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4575" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="853628740" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4576" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>320</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4577" name="Constant_79977" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4559508" size="32" />
+		<layer id="4181" name="Constant_79977" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4578" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="4182" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66256,15 +65990,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4579" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="4183" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4580" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="4184" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -66285,8 +66019,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4581" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 320" offset="853628744" size="102400" />
+		<layer id="4185" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="853546076" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -66294,7 +66028,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4582" name="Convert_231327" type="Convert" version="opset1">
+		<layer id="4186" name="Convert_119372" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -66309,8 +66043,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4583" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="853731144" size="320" />
+		<layer id="4187" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="853648476" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -66318,7 +66052,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4584" name="Convert_231330" type="Convert" version="opset1">
+		<layer id="4188" name="Convert_119375" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -66333,7 +66067,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4585" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4189" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -66352,8 +66086,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4586" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="853731464" size="640" />
+		<layer id="4190" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="853648796" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -66361,7 +66095,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4587" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4191" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -66380,7 +66114,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4588" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4192" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -66395,7 +66129,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4589" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4193" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66416,15 +66150,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4590" name="Constant_79978" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4559508" size="32" />
+		<layer id="4194" name="Constant_79978" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
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 		</layer>
-		<layer id="4591" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
+		<layer id="4195" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66445,15 +66179,15 @@
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 			</output>
 		</layer>
-		<layer id="4592" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="4196" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4593" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+		<layer id="4197" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -66474,7 +66208,7 @@
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 			</output>
 		</layer>
-		<layer id="4594" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="4198" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66505,15 +66239,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4595" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="4199" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4596" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+		<layer id="4200" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -66534,15 +66268,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4597" name="Constant_79979" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="4766284" size="24" />
+		<layer id="4201" name="Constant_79979" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="4764956" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4598" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="4202" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66563,8 +66297,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4599" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 320" offset="853732104" size="102400" />
+		<layer id="4203" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="853649436" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -66572,7 +66306,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4600" name="Convert_231360" type="Convert" version="opset1">
+		<layer id="4204" name="Convert_119405" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -66587,8 +66321,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4601" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="853834504" size="320" />
+		<layer id="4205" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="853751836" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -66596,7 +66330,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4602" name="Convert_231363" type="Convert" version="opset1">
+		<layer id="4206" name="Convert_119408" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -66611,7 +66345,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4603" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4207" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -66630,8 +66364,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4604" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="853834824" size="640" />
+		<layer id="4208" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="853752156" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -66639,7 +66373,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4605" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4209" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -66658,7 +66392,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4606" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4210" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -66673,7 +66407,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4607" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4211" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66694,8 +66428,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4608" name="Constant_77095" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="853835464" size="1280" />
+		<layer id="4212" name="Constant_77095" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="853752796" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -66704,7 +66438,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4609" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4213" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66726,7 +66460,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4610" name="__module.up_blocks.3.attentions.1.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="4214" name="__module.up_blocks.3.attentions.1.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66748,15 +66482,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4611" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="4215" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4612" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4216" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66776,8 +66510,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4613" name="Constant_77096" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="853836744" size="1280" />
+		<layer id="4217" name="Constant_77096" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="853754076" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -66786,7 +66520,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4614" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="4218" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66808,8 +66542,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4615" name="Constant_77097" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="853838024" size="1280" />
+		<layer id="4219" name="Constant_77097" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="853755356" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -66818,7 +66552,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4616" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4220" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66840,8 +66574,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4617" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 320" offset="853839304" size="102400" />
+		<layer id="4221" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="853756636" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -66849,7 +66583,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4618" name="Convert_231371" type="Convert" version="opset1">
+		<layer id="4222" name="Convert_119416" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -66864,8 +66598,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4619" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="853941704" size="320" />
+		<layer id="4223" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="853859036" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -66873,7 +66607,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4620" name="Convert_231374" type="Convert" version="opset1">
+		<layer id="4224" name="Convert_119419" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -66888,7 +66622,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4621" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4225" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -66907,8 +66641,8 @@
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 			</output>
 		</layer>
-		<layer id="4622" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="853942024" size="640" />
+		<layer id="4226" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="853859356" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -66916,7 +66650,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4623" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4227" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -66935,7 +66669,7 @@
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 			</output>
 		</layer>
-		<layer id="4624" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4228" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -66950,7 +66684,7 @@
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 			</output>
 		</layer>
-		<layer id="4625" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4229" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66971,60 +66705,15 @@
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 		</layer>
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-			<data element_type="f32" shape="" offset="853942664" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="4627" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="853942668" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="4628" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="853942664" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="4629" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="853942668" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="4630" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
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-				<port id="2" precision="FP32" />
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-		</layer>
-		<layer id="4631" name="Constant_79980" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="853942672" size="32" />
+		<layer id="4230" name="Constant_79980" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="853859996" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
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 			</output>
 		</layer>
-		<layer id="4632" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="4231" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67045,15 +66734,15 @@
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 			</output>
 		</layer>
-		<layer id="4633" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="4232" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4634" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
+		<layer id="4233" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -67074,8 +66763,8 @@
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 			</output>
 		</layer>
-		<layer id="4635" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 768" offset="853942704" size="245760" />
+		<layer id="4234" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="853860028" size="245760" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -67083,7 +66772,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4636" name="Convert_231096" type="Convert" version="opset1">
+		<layer id="4235" name="Convert_119031" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -67098,8 +66787,8 @@
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 			</output>
 		</layer>
-		<layer id="4637" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="854188464" size="320" />
+		<layer id="4236" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="854105788" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -67107,7 +66796,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4638" name="Convert_231099" type="Convert" version="opset1">
+		<layer id="4237" name="Convert_119034" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -67122,7 +66811,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4639" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4238" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -67141,8 +66830,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4640" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="854188784" size="640" />
+		<layer id="4239" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="854106108" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -67150,7 +66839,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4641" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4240" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -67169,7 +66858,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4642" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4241" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -67184,7 +66873,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4643" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4242" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67205,60 +66894,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4644" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="854189424" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4645" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="854189428" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4646" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="854189424" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4647" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="854189428" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4648" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>77</dim>
-					<dim>320</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>77</dim>
-					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4649" name="Constant_79981" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4559508" size="32" />
+		<layer id="4243" name="Constant_79981" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4650" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="4244" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67279,15 +66923,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4651" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="4245" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4652" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="4246" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -67308,8 +66952,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4653" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 768" offset="854189432" size="245760" />
+		<layer id="4247" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="854106748" size="245760" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -67317,7 +66961,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4654" name="Convert_231085" type="Convert" version="opset1">
+		<layer id="4248" name="Convert_119020" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -67332,8 +66976,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4655" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="854435192" size="320" />
+		<layer id="4249" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="854352508" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -67341,7 +66985,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4656" name="Convert_231088" type="Convert" version="opset1">
+		<layer id="4250" name="Convert_119023" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -67356,7 +67000,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4657" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4251" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -67375,8 +67019,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4658" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="854435512" size="640" />
+		<layer id="4252" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="854352828" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -67384,7 +67028,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4659" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4253" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -67403,7 +67047,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4660" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4254" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -67418,7 +67062,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4661" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4255" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67439,15 +67083,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4662" name="Constant_79982" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4559508" size="32" />
+		<layer id="4256" name="Constant_79982" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4663" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
+		<layer id="4257" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67468,15 +67112,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4664" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="4258" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4665" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+		<layer id="4259" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -67497,7 +67141,7 @@
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 			</output>
 		</layer>
-		<layer id="4666" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="4260" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67528,15 +67172,15 @@
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 			</output>
 		</layer>
-		<layer id="4667" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="4261" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4668" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+		<layer id="4262" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -67557,15 +67201,15 @@
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 			</output>
 		</layer>
-		<layer id="4669" name="Constant_79983" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="4766284" size="24" />
+		<layer id="4263" name="Constant_79983" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="4764956" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4670" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="4264" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67586,8 +67230,8 @@
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 			</output>
 		</layer>
-		<layer id="4671" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 320" offset="854436152" size="102400" />
+		<layer id="4265" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="854353468" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -67595,7 +67239,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4672" name="Convert_231382" type="Convert" version="opset1">
+		<layer id="4266" name="Convert_119427" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -67610,8 +67254,8 @@
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 			</output>
 		</layer>
-		<layer id="4673" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="854538552" size="320" />
+		<layer id="4267" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="854455868" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -67619,7 +67263,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4674" name="Convert_231385" type="Convert" version="opset1">
+		<layer id="4268" name="Convert_119430" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -67634,7 +67278,7 @@
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 			</output>
 		</layer>
-		<layer id="4675" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4269" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -67653,8 +67297,8 @@
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 			</output>
 		</layer>
-		<layer id="4676" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="854538872" size="640" />
+		<layer id="4270" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="854456188" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -67662,7 +67306,7 @@
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 			</output>
 		</layer>
-		<layer id="4677" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4271" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -67681,7 +67325,7 @@
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 			</output>
 		</layer>
-		<layer id="4678" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4272" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -67696,7 +67340,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4679" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4273" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67717,8 +67361,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4680" name="Constant_77098" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="854539512" size="1280" />
+		<layer id="4274" name="Constant_77098" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="854456828" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -67727,7 +67371,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4681" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4275" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67749,7 +67393,7 @@
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 			</output>
 		</layer>
-		<layer id="4682" name="__module.up_blocks.3.attentions.1.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4276" name="__module.up_blocks.3.attentions.1.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67771,15 +67415,15 @@
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 			</output>
 		</layer>
-		<layer id="4683" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="4277" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4684" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4278" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67799,8 +67443,8 @@
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 			</output>
 		</layer>
-		<layer id="4685" name="Constant_77099" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="854540792" size="1280" />
+		<layer id="4279" name="Constant_77099" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="854458108" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -67809,7 +67453,7 @@
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 			</output>
 		</layer>
-		<layer id="4686" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="4280" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67831,8 +67475,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4687" name="Constant_77100" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="854542072" size="1280" />
+		<layer id="4281" name="Constant_77100" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="854459388" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -67841,7 +67485,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4688" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4282" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67863,8 +67507,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4689" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 320" offset="854543352" size="819200" />
+		<layer id="4283" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 320" offset="854460668" size="819200" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -67872,7 +67516,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4690" name="Convert_230436" type="Convert" version="opset1">
+		<layer id="4284" name="Convert_118239" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -67887,8 +67531,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4691" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="855362552" size="2560" />
+		<layer id="4285" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="855279868" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -67896,7 +67540,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4692" name="Convert_230439" type="Convert" version="opset1">
+		<layer id="4286" name="Convert_118242" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -67911,7 +67555,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4693" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4287" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -67930,8 +67574,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4694" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="855365112" size="5120" />
+		<layer id="4288" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="855282428" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -67939,7 +67583,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4695" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4289" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -67958,7 +67602,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4696" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4290" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -67973,7 +67617,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4697" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4291" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67994,8 +67638,8 @@
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 			</output>
 		</layer>
-		<layer id="4698" name="Constant_77101" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="855370232" size="10240" />
+		<layer id="4292" name="Constant_77101" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="855287548" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -68004,7 +67648,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4699" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4293" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68026,7 +67670,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4700" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="4294" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68041,15 +67685,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4701" name="Constant_45615" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="6414668" size="4" />
+		<layer id="4295" name="Constant_45615" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="6413324" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4702" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
+		<layer id="4296" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -68064,7 +67708,7 @@
 				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4703" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
+		<layer id="4297" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="I32" />
@@ -68074,7 +67718,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4704" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+		<layer id="4298" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -68084,7 +67728,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4705" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+		<layer id="4299" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -68098,7 +67742,7 @@
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 			</output>
 		</layer>
-		<layer id="4706" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+		<layer id="4300" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="BOOL">
@@ -68111,7 +67755,7 @@
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 			</output>
 		</layer>
-		<layer id="4707" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+		<layer id="4301" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -68125,15 +67769,15 @@
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 			</output>
 		</layer>
-		<layer id="4708" name="Constant_45616" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="4302" name="Constant_45616" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4709" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+		<layer id="4303" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -68149,7 +67793,7 @@
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 			</output>
 		</layer>
-		<layer id="4710" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+		<layer id="4304" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -68174,7 +67818,7 @@
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 		</layer>
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+		<layer id="4305" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68191,7 +67835,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4712" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="4306" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68213,8 +67857,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4713" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1280" offset="855380472" size="409600" />
+		<layer id="4307" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1280" offset="855297788" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -68222,7 +67866,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4714" name="Convert_230997" type="Convert" version="opset1">
+		<layer id="4308" name="Convert_118921" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -68237,8 +67881,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4715" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="855790072" size="320" />
+		<layer id="4309" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="855707388" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -68246,7 +67890,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4716" name="Convert_231000" type="Convert" version="opset1">
+		<layer id="4310" name="Convert_118924" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -68261,7 +67905,7 @@
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 			</output>
 		</layer>
-		<layer id="4717" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4311" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -68280,8 +67924,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4718" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="855790392" size="640" />
+		<layer id="4312" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="855707708" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -68289,7 +67933,7 @@
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 			</output>
 		</layer>
-		<layer id="4719" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4313" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -68308,7 +67952,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4720" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4314" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -68323,7 +67967,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4721" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4315" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68344,8 +67988,8 @@
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 			</output>
 		</layer>
-		<layer id="4722" name="Constant_77102" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="855791032" size="1280" />
+		<layer id="4316" name="Constant_77102" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="855708348" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -68354,7 +67998,7 @@
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 			</output>
 		</layer>
-		<layer id="4723" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4317" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68376,7 +68020,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4724" name="__module.up_blocks.3.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="4318" name="__module.up_blocks.3.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68398,52 +68042,7 @@
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 			</output>
 		</layer>
-		<layer id="4725" name="__module.up_blocks.3.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="855792312" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4726" name="__module.up_blocks.3.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="855792316" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4727" name="__module.up_blocks.3.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="855792312" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4728" name="__module.up_blocks.3.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="855792316" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4729" name="__module.up_blocks.3.attentions.1.transformer_blocks.0/aten::add/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>320</dim>
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-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-			<output>
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-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>320</dim>
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-			</output>
-		</layer>
-		<layer id="4730" name="__module.up_blocks.3.attentions.1/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="4319" name="__module.up_blocks.3.attentions.1/aten::size/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68459,21 +68058,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4731" name="Constant_73277" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="6826524" size="24" />
+		<layer id="4320" name="Constant_73277" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="6825172" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4732" name="Constant_73278" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="940816" size="8" />
+		<layer id="4321" name="Constant_73278" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="940160" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4733" name="Gather_73279" type="Gather" version="opset8">
+		<layer id="4322" name="Gather_73279" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -68490,15 +68089,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4734" name="Constant_40538" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="6826548" size="8" />
+		<layer id="4323" name="Constant_40538" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="6825196" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4735" name="__module.up_blocks.3.attentions.1/prim::ListConstruct_1" type="Concat" version="opset1">
+		<layer id="4324" name="__module.up_blocks.3.attentions.1/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -68514,7 +68113,7 @@
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 			</output>
 		</layer>
-		<layer id="4736" name="__module.up_blocks.3.attentions.1/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+		<layer id="4325" name="__module.up_blocks.3.attentions.1/aten::reshape/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68535,15 +68134,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4737" name="Constant_40547" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="6826556" size="32" />
+		<layer id="4326" name="Constant_40547" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="6825204" size="32" />
 			<output>
 				<port id="0" precision="I64" names="3765">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4738" name="__module.up_blocks.3.attentions.1/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="4327" name="__module.up_blocks.3.attentions.1/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -68564,10 +68163,10 @@
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 			</output>
 		</layer>
-		<layer id="4739" name="Constant_1241963" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 320, 1, 1" offset="855792320" size="102400" />
+		<layer id="4328" name="self.up_blocks.3.attentions.1.proj_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320, 1, 1" offset="855709628" size="102400" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -68575,10 +68174,10 @@
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 			</output>
 		</layer>
-		<layer id="4740" name="Convert_1241964" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="4329" name="Convert_119438" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -68586,7 +68185,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -68594,10 +68193,29 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4741" name="Constant_1241965" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="855894720" size="1280" />
+		<layer id="4330" name="self.up_blocks.3.attentions.1.proj_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="855812028" size="320" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4331" name="Convert_119441" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -68605,16 +68223,16 @@
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 			</output>
 		</layer>
-		<layer id="4742" name="__module.up_blocks.3.attentions.1.proj_out/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4332" name="self.up_blocks.3.attentions.1.proj_out.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -68622,7 +68240,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4333" name="self.up_blocks.3.attentions.1.proj_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="855812348" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4334" name="self.up_blocks.3.attentions.1.proj_out.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -68630,7 +68284,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4743" name="__module.up_blocks.3.attentions.1.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="4335" name="self.up_blocks.3.attentions.1.proj_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4336" name="__module.up_blocks.3.attentions.1.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68655,8 +68328,8 @@
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 			</output>
 		</layer>
-		<layer id="4744" name="__module.up_blocks.3.attentions.1.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="855896000" size="1280" />
+		<layer id="4337" name="__module.up_blocks.3.attentions.1.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="855812988" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -68666,7 +68339,7 @@
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 			</output>
 		</layer>
-		<layer id="4745" name="__module.up_blocks.3.attentions.1.proj_out/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="4338" name="__module.up_blocks.3.attentions.1.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68691,7 +68364,7 @@
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 			</output>
 		</layer>
-		<layer id="4746" name="__module.up_blocks.3.attentions.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="4339" name="__module.up_blocks.3.attentions.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68716,7 +68389,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4747" name="__module.up_blocks.3/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="4340" name="__module.up_blocks.3/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68741,76 +68414,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4748" name="__module.up_blocks.3.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="855897280" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4749" name="__module.up_blocks.3.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="855897284" size="4" />
+		<layer id="4341" name="self.up_blocks.3.resnets.2.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 640, 1, 1" offset="855814268" size="204800" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4750" name="__module.up_blocks.3.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="855897280" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4751" name="__module.up_blocks.3.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="855897284" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4752" name="__module.up_blocks.3.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_input_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="4342" name="Convert_119086" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>320</dim>
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4753" name="Constant_1241967" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 640, 1, 1" offset="855897288" size="204800" />
+		<layer id="4343" name="self.up_blocks.3.resnets.2.conv_shortcut.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="856019068" size="320" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>320</dim>
-					<dim>640</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4754" name="Convert_1241968" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="4344" name="Convert_119089" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4345" name="self.up_blocks.3.resnets.2.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -68818,10 +68499,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4755" name="Constant_1241969" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="856102088" size="1280" />
+		<layer id="4346" name="self.up_blocks.3.resnets.2.conv_shortcut.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="856019388" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -68829,16 +68510,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4756" name="__module.up_blocks.3.resnets.2.conv_shortcut/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4347" name="self.up_blocks.3.resnets.2.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -68846,7 +68527,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4348" name="self.up_blocks.3.resnets.2.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>320</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -68854,7 +68554,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4757" name="__module.up_blocks.3.resnets.2.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="4349" name="__module.up_blocks.3.resnets.2.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68879,8 +68579,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4758" name="__module.up_blocks.3.resnets.2.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="856103368" size="1280" />
+		<layer id="4350" name="__module.up_blocks.3.resnets.2.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="856020028" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -68890,7 +68590,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4759" name="__module.up_blocks.3.resnets.2.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="4351" name="__module.up_blocks.3.resnets.2.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68915,23 +68615,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4760" name="self.up_blocks.3.resnets.2.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="640" offset="856104648" size="2560" />
+		<layer id="4352" name="self.up_blocks.3.resnets.2.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="856021308" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.3.resnets.2.norm1.weight">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4761" name="self.up_blocks.3.resnets.2.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="640" offset="856107208" size="2560" />
+		<layer id="4353" name="self.up_blocks.3.resnets.2.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="640" offset="856023868" size="2560" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.3.resnets.2.norm1.bias">
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4762" name="__module.up_blocks.3.resnets.2.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="4354" name="__module.up_blocks.3.resnets.2.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68956,7 +68656,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4763" name="__module.conv_act/aten::silu/Swish_64" type="Swish" version="opset4">
+		<layer id="4355" name="__module.conv_act/aten::silu/Swish_64" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -68974,76 +68674,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4764" name="__module.conv_act/aten::silu/Swish_64/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="856109768" size="4" />
+		<layer id="4356" name="self.up_blocks.3.resnets.2.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 640, 3, 3" offset="856026428" size="1843200" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4765" name="__module.conv_act/aten::silu/Swish_64/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="856109772" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4766" name="__module.conv_act/aten::silu/Swish_64/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="856109768" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4767" name="__module.conv_act/aten::silu/Swish_64/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="856109772" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4768" name="__module.conv_act/aten::silu/Swish_64/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="4357" name="Convert_117161" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
+					<dim>320</dim>
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
 					<dim>640</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4769" name="Constant_1241971" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 640, 3, 3" offset="856109776" size="1843200" />
+		<layer id="4358" name="self.up_blocks.3.resnets.2.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="857869628" size="320" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>320</dim>
-					<dim>640</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4770" name="Convert_1241972" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="4359" name="Convert_117164" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4360" name="self.up_blocks.3.resnets.2.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -69051,10 +68759,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4771" name="Constant_1241973" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="857952976" size="1280" />
+		<layer id="4361" name="self.up_blocks.3.resnets.2.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="857869948" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -69062,16 +68770,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4772" name="__module.up_blocks.3.resnets.2.conv1/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4362" name="self.up_blocks.3.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>640</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -69079,7 +68787,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4363" name="self.up_blocks.3.resnets.2.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>320</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -69087,7 +68814,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4773" name="__module.up_blocks.3.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="4364" name="__module.up_blocks.3.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69112,8 +68839,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4774" name="__module.up_blocks.3.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="857954256" size="1280" />
+		<layer id="4365" name="__module.up_blocks.3.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="857870588" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -69123,7 +68850,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4775" name="__module.up_blocks.3.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="4366" name="__module.up_blocks.3.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69148,8 +68875,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4776" name="self.up_blocks.3.resnets.2.time_emb_proj.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1280" offset="857955536" size="409600" />
+		<layer id="4367" name="self.up_blocks.3.resnets.2.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1280" offset="857871868" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -69157,7 +68884,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4777" name="Convert_230579" type="Convert" version="opset1">
+		<layer id="4368" name="Convert_118393" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -69172,8 +68899,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4778" name="self.up_blocks.3.resnets.2.time_emb_proj.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="858365136" size="320" />
+		<layer id="4369" name="self.up_blocks.3.resnets.2.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="858281468" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -69181,7 +68908,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4779" name="Convert_230582" type="Convert" version="opset1">
+		<layer id="4370" name="Convert_118396" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -69196,7 +68923,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4780" name="self.up_blocks.3.resnets.2.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4371" name="self.up_blocks.3.resnets.2.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -69215,8 +68942,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4781" name="self.up_blocks.3.resnets.2.time_emb_proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="858365456" size="640" />
+		<layer id="4372" name="self.up_blocks.3.resnets.2.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="858281788" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -69224,7 +68951,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4782" name="self.up_blocks.3.resnets.2.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4373" name="self.up_blocks.3.resnets.2.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -69243,7 +68970,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4783" name="self.up_blocks.3.resnets.2.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4374" name="self.up_blocks.3.resnets.2.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -69258,7 +68985,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4784" name="__module.up_blocks.3.resnets.2.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4375" name="__module.up_blocks.3.resnets.2.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69277,8 +69004,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4785" name="Constant_77103" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320" offset="858366096" size="1280" />
+		<layer id="4376" name="Constant_77103" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320" offset="858282428" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -69286,7 +69013,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4786" name="__module.up_blocks.3.resnets.2.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4377" name="__module.up_blocks.3.resnets.2.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69305,7 +69032,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4787" name="__module.up_blocks.3.resnets.2/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="4378" name="__module.up_blocks.3.resnets.2/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69321,7 +69048,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4788" name="__module.up_blocks.3.resnets.2/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="4379" name="__module.up_blocks.3.resnets.2/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69339,7 +69066,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4789" name="__module.up_blocks.3.resnets.2/aten::add/Add" type="Add" version="opset1">
+		<layer id="4380" name="__module.up_blocks.3.resnets.2/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69364,23 +69091,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4790" name="self.up_blocks.3.resnets.2.norm2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="320" offset="858367376" size="1280" />
+		<layer id="4381" name="self.up_blocks.3.resnets.2.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="858283708" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.3.resnets.2.norm2.weight">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4791" name="self.up_blocks.3.resnets.2.norm2.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="320" offset="858368656" size="1280" />
+		<layer id="4382" name="self.up_blocks.3.resnets.2.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="858284988" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.3.resnets.2.norm2.bias">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4792" name="__module.up_blocks.3.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="4383" name="__module.up_blocks.3.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69405,7 +69132,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4793" name="__module.conv_act/aten::silu/Swish_66" type="Swish" version="opset4">
+		<layer id="4384" name="__module.conv_act/aten::silu/Swish_66" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69423,76 +69150,84 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4794" name="__module.conv_act/aten::silu/Swish_66/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="4385" name="self.up_blocks.3.resnets.2.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320, 3, 3" offset="858286268" size="921600" />
 			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4795" name="__module.conv_act/aten::silu/Swish_66/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="858369936" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4796" name="__module.conv_act/aten::silu/Swish_66/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="16648" size="4" />
+		<layer id="4386" name="Convert_118118" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4797" name="__module.conv_act/aten::silu/Swish_66/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="858369936" size="4" />
+		<layer id="4387" name="self.up_blocks.3.resnets.2.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="859207868" size="320" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4798" name="__module.conv_act/aten::silu/Swish_66/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="4388" name="Convert_118121" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4799" name="Constant_1241975" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 320, 3, 3" offset="858369940" size="921600" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="4389" name="self.up_blocks.3.resnets.2.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4800" name="Convert_1241976" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>320</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
-					<dim>3</dim>
-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
@@ -69500,10 +69235,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4801" name="Constant_1241977" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="859291540" size="1280" />
+		<layer id="4390" name="self.up_blocks.3.resnets.2.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="859208188" size="640" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -69511,16 +69246,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4802" name="__module.up_blocks.3.resnets.2.conv2/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4391" name="self.up_blocks.3.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -69528,7 +69263,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
@@ -69536,7 +69271,26 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4803" name="__module.up_blocks.3.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="4392" name="self.up_blocks.3.resnets.2.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4393" name="__module.up_blocks.3.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69561,8 +69315,8 @@
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 			</output>
 		</layer>
-		<layer id="4804" name="__module.up_blocks.3.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="859292820" size="1280" />
+		<layer id="4394" name="__module.up_blocks.3.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="859208828" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -69572,7 +69326,7 @@
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 			</output>
 		</layer>
-		<layer id="4805" name="__module.up_blocks.3.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="4395" name="__module.up_blocks.3.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69597,7 +69351,7 @@
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 			</output>
 		</layer>
-		<layer id="4806" name="__module.up_blocks.3.resnets.2/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4396" name="__module.up_blocks.3.resnets.2/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69622,23 +69376,23 @@
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 			</output>
 		</layer>
-		<layer id="4807" name="self.up_blocks.3.attentions.2.norm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="320" offset="859294100" size="1280" />
+		<layer id="4397" name="self.up_blocks.3.attentions.2.norm.weight" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.3.attentions.2.norm.weight">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4808" name="self.up_blocks.3.attentions.2.norm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="320" offset="859295380" size="1280" />
+		<layer id="4398" name="self.up_blocks.3.attentions.2.norm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="859211388" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.up_blocks.3.attentions.2.norm.bias">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4809" name="__module.up_blocks.3.attentions.2.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="4399" name="__module.up_blocks.3.attentions.2.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69663,76 +69417,84 @@
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 			</output>
 		</layer>
-		<layer id="4810" name="__module.up_blocks.3.attentions.2.norm/aten::group_norm/GroupNormalization/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="859296660" size="4" />
+		<layer id="4400" name="self.up_blocks.3.attentions.2.proj_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320, 1, 1" offset="859212668" size="102400" />
 			<output>
-				<port id="0" precision="FP32" />
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-			<data element_type="f32" shape="" offset="859296664" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="4812" name="__module.up_blocks.3.attentions.2.norm/aten::group_norm/GroupNormalization/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="859296660" size="4" />
+		<layer id="4401" name="Convert_119449" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4813" name="__module.up_blocks.3.attentions.2.norm/aten::group_norm/GroupNormalization/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="859296664" size="4" />
+		<layer id="4402" name="self.up_blocks.3.attentions.2.proj_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="859315068" size="320" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="4814" name="__module.up_blocks.3.attentions.2.norm/aten::group_norm/GroupNormalization/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="4403" name="Convert_119452" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="U8">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i8" shape="320, 320, 1, 1" offset="859296668" size="102400" />
-			<output>
-				<port id="0" precision="I8">
+		<layer id="4404" name="self.up_blocks.3.attentions.2.proj_in.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
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-		<layer id="4816" name="Convert_1241980" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>320</dim>
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -69740,10 +69502,10 @@
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 			</output>
 		</layer>
-		<layer id="4817" name="Constant_1241981" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="859399068" size="1280" />
+		<layer id="4405" name="self.up_blocks.3.attentions.2.proj_in.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="859315388" size="640" />
 			<output>
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+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -69751,16 +69513,16 @@
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 			</output>
 		</layer>
-		<layer id="4818" name="__module.up_blocks.3.attentions.2.proj_in/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4406" name="self.up_blocks.3.attentions.2.proj_in.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
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 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -69768,7 +69530,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -69776,7 +69538,26 @@
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 			</output>
 		</layer>
-		<layer id="4819" name="__module.up_blocks.3.attentions.2.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="4407" name="self.up_blocks.3.attentions.2.proj_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4408" name="__module.up_blocks.3.attentions.2.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69801,8 +69582,8 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 320, 1, 1" offset="859400348" size="1280" />
+		<layer id="4409" name="__module.up_blocks.3.attentions.2.proj_in/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="859316028" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -69812,7 +69593,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4821" name="__module.up_blocks.3.attentions.2.proj_in/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="4410" name="__module.up_blocks.3.attentions.2.proj_in/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69837,15 +69618,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4822" name="Constant_40890" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4453520" size="32" />
+		<layer id="4411" name="Constant_40890" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4452208" size="32" />
 			<output>
 				<port id="0" precision="I64" names="3850">
 					<dim>4</dim>
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 			</output>
 		</layer>
-		<layer id="4823" name="__module.up_blocks.3.attentions.2/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="4412" name="__module.up_blocks.3.attentions.2/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69866,15 +69647,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4824" name="Constant_79984" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="4453552" size="24" />
+		<layer id="4413" name="Constant_79984" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="4452240" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4825" name="__module.up_blocks.3.attentions.2/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="4414" name="__module.up_blocks.3.attentions.2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69895,15 +69676,15 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="4415" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="4416" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69923,8 +69704,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1, 320" offset="859401628" size="1280" />
+		<layer id="4417" name="Constant_77104" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="859317308" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -69933,7 +69714,7 @@
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 			</output>
 		</layer>
-		<layer id="4829" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="4418" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69955,8 +69736,8 @@
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 			</output>
 		</layer>
-		<layer id="4830" name="Constant_77105" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="859402908" size="1280" />
+		<layer id="4419" name="Constant_77105" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="859318588" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -69965,7 +69746,7 @@
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 			</output>
 		</layer>
-		<layer id="4831" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4420" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69987,8 +69768,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="320, 320" offset="859404188" size="102400" />
+		<layer id="4421" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="859319868" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -69996,7 +69777,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4833" name="Convert_231415" type="Convert" version="opset1">
+		<layer id="4422" name="Convert_119482" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70011,8 +69792,8 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="320, 1" offset="859506588" size="320" />
+		<layer id="4423" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="859422268" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -70020,7 +69801,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4835" name="Convert_231418" type="Convert" version="opset1">
+		<layer id="4424" name="Convert_119485" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70035,7 +69816,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70054,8 +69835,8 @@
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 			</output>
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-			<data element_type="f16" shape="320, 1" offset="859506908" size="640" />
+		<layer id="4426" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="859422588" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -70063,7 +69844,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70082,7 +69863,7 @@
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 			</output>
 		</layer>
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 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70097,7 +69878,7 @@
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+		<layer id="4429" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70118,60 +69899,15 @@
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-		<layer id="4843" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
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-		<layer id="4844" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
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+		<layer id="4430" name="Constant_79985" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4847" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="4431" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70192,15 +69928,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4848" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="4432" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4849" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
+		<layer id="4433" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -70221,8 +69957,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4850" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 320" offset="859507556" size="102400" />
+		<layer id="4434" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="859423228" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -70230,7 +69966,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4851" name="Convert_231404" type="Convert" version="opset1">
+		<layer id="4435" name="Convert_119471" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70245,8 +69981,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4852" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="859609956" size="320" />
+		<layer id="4436" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="859525628" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -70254,7 +69990,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4853" name="Convert_231407" type="Convert" version="opset1">
+		<layer id="4437" name="Convert_119474" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70269,7 +70005,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4854" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4438" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70288,8 +70024,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4855" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="859610276" size="640" />
+		<layer id="4439" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="859525948" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -70297,7 +70033,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4856" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4440" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70316,7 +70052,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4857" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4441" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70331,7 +70067,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4858" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4442" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70352,60 +70088,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4859" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="859610916" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4860" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="859610920" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4861" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="859610916" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4862" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="859610920" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4863" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>320</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4864" name="Constant_79986" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4559508" size="32" />
+		<layer id="4443" name="Constant_79986" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4865" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="4444" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70426,15 +70117,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4866" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="4445" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4867" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="4446" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -70455,8 +70146,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4868" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 320" offset="859610924" size="102400" />
+		<layer id="4447" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="859526588" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -70464,7 +70155,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4869" name="Convert_231393" type="Convert" version="opset1">
+		<layer id="4448" name="Convert_119460" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70479,8 +70170,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4870" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="859713324" size="320" />
+		<layer id="4449" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="859628988" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -70488,7 +70179,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4871" name="Convert_231396" type="Convert" version="opset1">
+		<layer id="4450" name="Convert_119463" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70503,7 +70194,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4872" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4451" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70522,8 +70213,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4873" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="859713644" size="640" />
+		<layer id="4452" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="859629308" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -70531,7 +70222,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4874" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4453" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70550,7 +70241,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4875" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4454" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70565,7 +70256,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4876" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4455" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70586,15 +70277,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4877" name="Constant_79987" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4559508" size="32" />
+		<layer id="4456" name="Constant_79987" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4878" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
+		<layer id="4457" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70615,15 +70306,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4879" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="4458" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4880" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+		<layer id="4459" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -70644,7 +70335,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4881" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="4460" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70675,15 +70366,15 @@
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 			</output>
 		</layer>
-		<layer id="4882" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="4461" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4883" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+		<layer id="4462" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -70704,15 +70395,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4884" name="Constant_79988" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="4766284" size="24" />
+		<layer id="4463" name="Constant_79988" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="4764956" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4885" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="4464" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70733,8 +70424,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4886" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 320" offset="859714284" size="102400" />
+		<layer id="4465" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="859629948" size="102400" />
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 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -70742,7 +70433,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4887" name="Convert_231426" type="Convert" version="opset1">
+		<layer id="4466" name="Convert_119493" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70757,8 +70448,8 @@
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 			</output>
 		</layer>
-		<layer id="4888" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="859816684" size="320" />
+		<layer id="4467" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="859732348" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -70766,7 +70457,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4889" name="Convert_231429" type="Convert" version="opset1">
+		<layer id="4468" name="Convert_119496" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70781,7 +70472,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="4469" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70800,8 +70491,8 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="320, 1" offset="859817004" size="640" />
+		<layer id="4470" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="859732668" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -70809,7 +70500,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4892" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4471" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70828,7 +70519,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4893" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4472" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70843,7 +70534,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="4473" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70864,8 +70555,8 @@
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 			</output>
 		</layer>
-		<layer id="4895" name="Constant_77106" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="859817644" size="1280" />
+		<layer id="4474" name="Constant_77106" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="859733308" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -70874,7 +70565,7 @@
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 			</output>
 		</layer>
-		<layer id="4896" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4475" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70896,7 +70587,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4897" name="__module.up_blocks.3.attentions.2.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
+		<layer id="4476" name="__module.up_blocks.3.attentions.2.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70918,15 +70609,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="4477" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 			</output>
 		</layer>
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+		<layer id="4478" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70946,8 +70637,8 @@
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 			</output>
 		</layer>
-		<layer id="4900" name="Constant_77107" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="859818924" size="1280" />
+		<layer id="4479" name="Constant_77107" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="859734588" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -70956,7 +70647,7 @@
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 			</output>
 		</layer>
-		<layer id="4901" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="4480" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70978,8 +70669,8 @@
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 			</output>
 		</layer>
-		<layer id="4902" name="Constant_77108" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="859820204" size="1280" />
+		<layer id="4481" name="Constant_77108" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="859735868" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -70988,7 +70679,7 @@
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 			</output>
 		</layer>
-		<layer id="4903" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4482" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71010,8 +70701,8 @@
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 			</output>
 		</layer>
-		<layer id="4904" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 320" offset="859821484" size="102400" />
+		<layer id="4483" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="859737148" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -71019,7 +70710,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4905" name="Convert_231437" type="Convert" version="opset1">
+		<layer id="4484" name="Convert_119504" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -71034,8 +70725,8 @@
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 			</output>
 		</layer>
-		<layer id="4906" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="859923884" size="320" />
+		<layer id="4485" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="859839548" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -71043,7 +70734,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4907" name="Convert_231440" type="Convert" version="opset1">
+		<layer id="4486" name="Convert_119507" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -71058,7 +70749,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4908" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4487" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -71077,8 +70768,8 @@
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 			</output>
 		</layer>
-		<layer id="4909" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="859924204" size="640" />
+		<layer id="4488" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="859839868" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -71086,7 +70777,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4910" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4489" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -71105,7 +70796,7 @@
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 			</output>
 		</layer>
-		<layer id="4911" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4490" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -71120,7 +70811,7 @@
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 			</output>
 		</layer>
-		<layer id="4912" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4491" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71141,52 +70832,7 @@
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 			</output>
 		</layer>
-		<layer id="4913" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="859924844" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="4914" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="859924848" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="4915" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="859924844" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="4916" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="859924848" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="4917" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
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-			<input>
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-					<dim>-1</dim>
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-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
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-			<output>
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-					<dim>-1</dim>
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-		<layer id="4918" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
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 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71207,15 +70853,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="4493" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="4494" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71236,8 +70882,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="320, 768" offset="859924852" size="245760" />
+		<layer id="4495" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="859840508" size="245760" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -71245,7 +70891,7 @@
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 			</output>
 		</layer>
-		<layer id="4922" name="Convert_231118" type="Convert" version="opset1">
+		<layer id="4496" name="Convert_119053" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -71260,8 +70906,8 @@
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="320, 1" offset="860170612" size="320" />
+		<layer id="4497" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="860086268" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -71269,7 +70915,7 @@
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 			</output>
 		</layer>
-		<layer id="4924" name="Convert_231121" type="Convert" version="opset1">
+		<layer id="4498" name="Convert_119056" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -71284,7 +70930,7 @@
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 			</output>
 		</layer>
-		<layer id="4925" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4499" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -71303,8 +70949,8 @@
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 			</output>
 		</layer>
-		<layer id="4926" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="860170932" size="640" />
+		<layer id="4500" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="860086588" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -71312,7 +70958,7 @@
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 			</output>
 		</layer>
-		<layer id="4927" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4501" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -71331,7 +70977,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4928" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4502" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -71346,7 +70992,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4929" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4503" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71367,60 +71013,15 @@
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 			</output>
 		</layer>
-		<layer id="4930" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="860171572" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4931" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="860171576" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4932" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="860171572" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4933" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="860171576" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4934" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul/fq_output_0" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>77</dim>
-					<dim>320</dim>
-				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-				<port id="3" precision="FP32" />
-				<port id="4" precision="FP32" />
-			</input>
-			<output>
-				<port id="5" precision="FP32">
-					<dim>-1</dim>
-					<dim>77</dim>
-					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4935" name="Constant_79989" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4559508" size="32" />
+		<layer id="4504" name="Constant_79989" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
 			<output>
 				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="4936" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="4505" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71441,15 +71042,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4937" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="4506" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4938" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+		<layer id="4507" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71470,8 +71071,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4939" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 768" offset="860171580" size="245760" />
+		<layer id="4508" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="860087228" size="245760" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -71479,7 +71080,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4940" name="Convert_231107" type="Convert" version="opset1">
+		<layer id="4509" name="Convert_119042" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -71494,8 +71095,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4941" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="860417340" size="320" />
+		<layer id="4510" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="860332988" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -71503,7 +71104,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4942" name="Convert_231110" type="Convert" version="opset1">
+		<layer id="4511" name="Convert_119045" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -71518,7 +71119,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4943" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4512" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -71537,8 +71138,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4944" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="860417660" size="640" />
+		<layer id="4513" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="860333308" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -71546,7 +71147,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4945" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4514" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -71565,7 +71166,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4946" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4515" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -71580,7 +71181,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4947" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4516" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71601,15 +71202,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4948" name="Constant_79990" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="4559508" size="32" />
+		<layer id="4517" name="Constant_79990" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4558188" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4949" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
+		<layer id="4518" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71630,15 +71231,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4950" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="4519" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4951" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
+		<layer id="4520" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71659,7 +71260,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4952" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="4521" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71690,15 +71291,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4953" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
-			<data element_type="i32" shape="4" offset="4559540" size="16" />
+		<layer id="4522" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="4558220" size="16" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4954" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+		<layer id="4523" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71719,15 +71320,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4955" name="Constant_79991" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="4766284" size="24" />
+		<layer id="4524" name="Constant_79991" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="4764956" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4956" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
+		<layer id="4525" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71748,8 +71349,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4957" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 320" offset="860418300" size="102400" />
+		<layer id="4526" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="860333948" size="102400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -71757,7 +71358,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4958" name="Convert_231448" type="Convert" version="opset1">
+		<layer id="4527" name="Convert_119515" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -71772,8 +71373,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4959" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="860520700" size="320" />
+		<layer id="4528" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="860436348" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -71781,7 +71382,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4960" name="Convert_231451" type="Convert" version="opset1">
+		<layer id="4529" name="Convert_119518" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -71796,7 +71397,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4961" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4530" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -71815,8 +71416,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4962" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="860521020" size="640" />
+		<layer id="4531" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="860436668" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -71824,7 +71425,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4963" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4532" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -71843,7 +71444,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4964" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4533" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -71858,7 +71459,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4965" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4534" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71879,8 +71480,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4966" name="Constant_77109" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="860521660" size="1280" />
+		<layer id="4535" name="Constant_77109" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="860437308" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -71889,7 +71490,7 @@
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 			</output>
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-		<layer id="4967" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4536" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -71911,7 +71512,7 @@
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 		</layer>
-		<layer id="4968" name="__module.up_blocks.3.attentions.2.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4537" name="__module.up_blocks.3.attentions.2.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71933,15 +71534,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="4538" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
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 				<port id="0" precision="I32">
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 		</layer>
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+		<layer id="4539" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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 				<port id="0" precision="FP32">
@@ -71961,8 +71562,8 @@
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 		</layer>
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-			<data element_type="f32" shape="1, 1, 320" offset="860522940" size="1280" />
+		<layer id="4540" name="Constant_77110" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="860438588" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -71971,7 +71572,7 @@
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 			</output>
 		</layer>
-		<layer id="4972" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+		<layer id="4541" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71993,8 +71594,8 @@
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 		</layer>
-		<layer id="4973" name="Constant_77111" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 320" offset="860524220" size="1280" />
+		<layer id="4542" name="Constant_77111" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="860439868" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -72003,7 +71604,7 @@
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 			</output>
 		</layer>
-		<layer id="4974" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4543" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72025,8 +71626,8 @@
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-			<data element_type="u8" shape="2560, 320" offset="860525500" size="819200" />
+		<layer id="4544" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0.proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 320" offset="860441148" size="819200" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -72034,7 +71635,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4976" name="Convert_230447" type="Convert" version="opset1">
+		<layer id="4545" name="Convert_118250" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -72049,8 +71650,8 @@
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 		</layer>
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-			<data element_type="u8" shape="2560, 1" offset="861344700" size="2560" />
+		<layer id="4546" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="861260348" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -72058,7 +71659,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4978" name="Convert_230450" type="Convert" version="opset1">
+		<layer id="4547" name="Convert_118253" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -72073,7 +71674,7 @@
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 		</layer>
-		<layer id="4979" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4548" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -72092,8 +71693,8 @@
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 			</output>
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-		<layer id="4980" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="861347260" size="5120" />
+		<layer id="4549" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="861262908" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -72101,7 +71702,7 @@
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 			</output>
 		</layer>
-		<layer id="4981" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4550" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -72120,7 +71721,7 @@
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 			</output>
 		</layer>
-		<layer id="4982" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4551" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -72135,7 +71736,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4983" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4552" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72156,8 +71757,8 @@
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 			</output>
 		</layer>
-		<layer id="4984" name="Constant_77112" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="861352380" size="10240" />
+		<layer id="4553" name="Constant_77112" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="861268028" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -72166,7 +71767,7 @@
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 			</output>
 		</layer>
-		<layer id="4985" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4554" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72188,7 +71789,7 @@
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 			</output>
 		</layer>
-		<layer id="4986" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="4555" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72203,15 +71804,15 @@
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 			</output>
 		</layer>
-		<layer id="4987" name="Constant_45687" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="6414668" size="4" />
+		<layer id="4556" name="Constant_45687" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="6413324" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="4988" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
+		<layer id="4557" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -72226,7 +71827,7 @@
 				<port id="3" precision="I32" />
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 		</layer>
-		<layer id="4989" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
+		<layer id="4558" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="I32" />
@@ -72236,7 +71837,7 @@
 				<port id="2" precision="I32" />
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 		</layer>
-		<layer id="4990" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+		<layer id="4559" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -72246,7 +71847,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4991" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+		<layer id="4560" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -72260,7 +71861,7 @@
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 			</output>
 		</layer>
-		<layer id="4992" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+		<layer id="4561" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="BOOL">
@@ -72273,7 +71874,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4993" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+		<layer id="4562" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -72287,15 +71888,15 @@
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 			</output>
 		</layer>
-		<layer id="4994" name="Constant_45688" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="4453576" size="4" />
+		<layer id="4563" name="Constant_45688" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4452264" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="4995" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+		<layer id="4564" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -72311,7 +71912,7 @@
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 			</output>
 		</layer>
-		<layer id="4996" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+		<layer id="4565" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -72336,7 +71937,7 @@
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 		</layer>
-		<layer id="4997" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="4566" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72353,7 +71954,7 @@
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 			</output>
 		</layer>
-		<layer id="4998" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="4567" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72375,8 +71976,8 @@
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 		</layer>
-		<layer id="4999" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1280" offset="861362620" size="409600" />
+		<layer id="4568" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1280" offset="861278268" size="409600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -72384,7 +71985,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5000" name="Convert_231008" type="Convert" version="opset1">
+		<layer id="4569" name="Convert_118932" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -72399,8 +72000,8 @@
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 			</output>
 		</layer>
-		<layer id="5001" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="320, 1" offset="861772220" size="320" />
+		<layer id="4570" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="861687868" size="320" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>320</dim>
@@ -72408,7 +72009,7 @@
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 			</output>
 		</layer>
-		<layer id="5002" name="Convert_231011" type="Convert" version="opset1">
+		<layer id="4571" name="Convert_118935" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -72423,7 +72024,7 @@
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 			</output>
 		</layer>
-		<layer id="5003" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4572" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -72442,8 +72043,8 @@
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-		<layer id="5004" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1" offset="861772540" size="640" />
+		<layer id="4573" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="861688188" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -72451,7 +72052,7 @@
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 		</layer>
-		<layer id="5005" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4574" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -72470,7 +72071,7 @@
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 			</output>
 		</layer>
-		<layer id="5006" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4575" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -72485,7 +72086,7 @@
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+		<layer id="4576" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -72506,8 +72107,8 @@
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-			<data element_type="f32" shape="1, 1, 320" offset="861773180" size="1280" />
+		<layer id="4577" name="Constant_77113" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="861688828" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -72516,7 +72117,7 @@
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 		</layer>
-		<layer id="5009" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4578" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -72538,7 +72139,7 @@
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 			</output>
 		</layer>
-		<layer id="5010" name="__module.up_blocks.3.attentions.2.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="4579" name="__module.up_blocks.3.attentions.2.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72560,52 +72161,7 @@
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 			</output>
 		</layer>
-		<layer id="5011" name="__module.up_blocks.3.attentions.2.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="861774460" size="4" />
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-				<port id="0" precision="FP32" />
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-		<layer id="5012" name="__module.up_blocks.3.attentions.2.transformer_blocks.0/aten::add/Add_2/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="861774464" size="4" />
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-				<port id="0" precision="FP32" />
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-		<layer id="5013" name="__module.up_blocks.3.attentions.2.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="861774460" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="5014" name="__module.up_blocks.3.attentions.2.transformer_blocks.0/aten::add/Add_2/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="861774464" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="5015" name="__module.up_blocks.3.attentions.2.transformer_blocks.0/aten::add/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
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-					<dim>-1</dim>
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-				<port id="4" precision="FP32" />
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-					<dim>-1</dim>
-					<dim>320</dim>
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-		</layer>
-		<layer id="5016" name="__module.up_blocks.3.attentions.2/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="4580" name="__module.up_blocks.3.attentions.2/aten::size/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72621,21 +72177,21 @@
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 			</output>
 		</layer>
-		<layer id="5017" name="Constant_73286" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="6826524" size="24" />
+		<layer id="4581" name="Constant_73286" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="6825172" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
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 		</layer>
-		<layer id="5018" name="Constant_73287" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="940816" size="8" />
+		<layer id="4582" name="Constant_73287" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="940160" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5019" name="Gather_73288" type="Gather" version="opset8">
+		<layer id="4583" name="Gather_73288" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -72652,15 +72208,15 @@
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 			</output>
 		</layer>
-		<layer id="5020" name="Constant_42187" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="6826548" size="8" />
+		<layer id="4584" name="Constant_42187" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="6825196" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="5021" name="__module.up_blocks.3.attentions.2/prim::ListConstruct_1" type="Concat" version="opset1">
+		<layer id="4585" name="__module.up_blocks.3.attentions.2/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -72676,7 +72232,7 @@
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 			</output>
 		</layer>
-		<layer id="5022" name="__module.up_blocks.3.attentions.2/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+		<layer id="4586" name="__module.up_blocks.3.attentions.2/aten::reshape/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72697,15 +72253,15 @@
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 			</output>
 		</layer>
-		<layer id="5023" name="Constant_42196" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="6826556" size="32" />
+		<layer id="4587" name="Constant_42196" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="6825204" size="32" />
 			<output>
 				<port id="0" precision="I64" names="3974">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5024" name="__module.up_blocks.3.attentions.2/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="4588" name="__module.up_blocks.3.attentions.2/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -72726,10 +72282,10 @@
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 			</output>
 		</layer>
-		<layer id="5025" name="Constant_1241983" type="Const" version="opset1">
-			<data element_type="i8" shape="320, 320, 1, 1" offset="861774468" size="102400" />
+		<layer id="4589" name="self.up_blocks.3.attentions.2.proj_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320, 1, 1" offset="861690108" size="102400" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -72737,10 +72293,10 @@
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 			</output>
 		</layer>
-		<layer id="5026" name="Convert_1241984" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="4590" name="Convert_119526" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I8">
+				<port id="0" precision="U8">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -72748,7 +72304,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -72756,10 +72312,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5027" name="Constant_1241985" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 1, 1, 1" offset="861876868" size="1280" />
+		<layer id="4591" name="self.up_blocks.3.attentions.2.proj_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1, 1, 1" offset="861792508" size="320" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="U8">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -72767,16 +72323,35 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5028" name="__module.up_blocks.3.attentions.2.proj_out/aten::_convolution/Convolution/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4592" name="Convert_119529" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4593" name="self.up_blocks.3.attentions.2.proj_out.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP16">
 					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -72784,7 +72359,62 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4594" name="self.up_blocks.3.attentions.2.proj_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1, 1, 1" offset="861792828" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4595" name="self.up_blocks.3.attentions.2.proj_out.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4596" name="self.up_blocks.3.attentions.2.proj_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -72792,7 +72422,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5029" name="__module.up_blocks.3.attentions.2.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="4597" name="__module.up_blocks.3.attentions.2.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72817,8 +72447,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5030" name="__module.up_blocks.3.attentions.2.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="861878148" size="1280" />
+		<layer id="4598" name="__module.up_blocks.3.attentions.2.proj_out/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="861793468" size="1280" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -72828,7 +72458,7 @@
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 			</output>
 		</layer>
-		<layer id="5031" name="__module.up_blocks.3.attentions.2.proj_out/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="4599" name="__module.up_blocks.3.attentions.2.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72853,7 +72483,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5032" name="__module.up_blocks.3.attentions.2/aten::add/Add" type="Add" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72878,23 +72508,23 @@
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 			</output>
 		</layer>
-		<layer id="5033" name="self.conv_norm_out.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="320" offset="861879428" size="1280" />
+		<layer id="4601" name="self.conv_norm_out.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="861794748" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.conv_norm_out.weight">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5034" name="self.conv_norm_out.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="320" offset="861880708" size="1280" />
+		<layer id="4602" name="self.conv_norm_out.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="320" offset="861796028" size="1280" />
 			<output>
 				<port id="0" precision="FP32" names="self.conv_norm_out.bias">
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5035" name="__module.conv_norm_out/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+		<layer id="4603" name="__module.conv_norm_out/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
 			<data num_groups="32" epsilon="9.9999997473787516e-06" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72919,7 +72549,7 @@
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 			</output>
 		</layer>
-		<layer id="5036" name="__module.conv_act/aten::silu/Swish_67" type="Swish" version="opset4">
+		<layer id="4604" name="__module.conv_act/aten::silu/Swish_67" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -72937,76 +72567,84 @@
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="FP32" />
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-		<layer id="5038" name="__module.conv_act/aten::silu/Swish_67/fq_output_0/input_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="861881992" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="5039" name="__module.conv_act/aten::silu/Swish_67/fq_output_0/output_low" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="861881988" size="4" />
+		<layer id="4605" name="self.conv_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="4, 320, 3, 3" offset="861797308" size="11520" />
 			<output>
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-		<layer id="5040" name="__module.conv_act/aten::silu/Swish_67/fq_output_0/output_high" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="861881992" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="U8">
+					<dim>4</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 			</output>
 		</layer>
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-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="4606" name="Convert_119548" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
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+				<port id="0" precision="U8">
+					<dim>4</dim>
 					<dim>320</dim>
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-					<dim>-1</dim>
+					<dim>3</dim>
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 			</input>
 			<output>
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+				<port id="1" precision="FP16">
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 					<dim>320</dim>
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-					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 		</layer>
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-			<data element_type="i8" shape="4, 320, 3, 3" offset="861881996" size="11520" />
+		<layer id="4607" name="self.conv_out.weight/zero_point" type="Const" version="opset1">
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@@ -77101,747 +76771,763 @@
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-					<types value="['GroupNormalization']" />
-				</ignored_scope>
-				<model_type value="transformer" />
-				<preset value="None" />
-				<subset_size value="20" />
-				<target_device value="ANY" />
-			</quantization>
 			<weight_compression>
 				<advanced_parameters value="{'statistics_path': None, 'awq_params': {'subset_size': 32, 'percent_to_apply': 0.002, 'alpha_min': 0.0, 'alpha_max': 1.0, 'steps': 100}, 'scale_estimation_params': {'subset_size': 64, 'initial_steps': 5, 'scale_steps': 5, 'weight_penalty': -1.0}, 'gptq_params': {'damp_percent': 0.1, 'block_size': 128, 'subset_size': 128}, 'lora_correction_params': {'adapter_rank': 8, 'num_iterations': 3, 'apply_regularization': True, 'subset_size': 128, 'use_int8_adapters': True}}" />
 				<all_layers value="False" />
@@ -78557,9 +77769,7 @@
 				<backup_mode value="int8_asym" />
 				<gptq value="False" />
 				<group_size value="-1" />
-				<ignored_scope>
-					<types value="['Convolution']" />
-				</ignored_scope>
+				<ignored_scope value="[]" />
 				<lora_correction value="False" />
 				<mode value="int8_asym" />
 				<ratio value="1.0" />