Update app.py

app.py

@@ -179,6 +179,10 @@ def load_and_prepare_model():
     #pipe.unet=pipeX.unet
     #pipe.scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1)
     #pipe.scheduler=EulerAncestralDiscreteScheduler.from_pretrained('ford442/RealVisXL_V5.0_BF16', subfolder='scheduler',beta_schedule="scaled_linear")
+
+    pipe.vae.set_default_attn_processor()
+    pipe.to(device)
+    pipe.to(torch.bfloat16)
     # pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/Fantasy_World_XL.safetensors", adapter_name="fantasy")
     pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/skin_texture_style_v4.safetensors", adapter_name="skin")
     #pipe.unet.load_lora_adapter("ford442/sdxl-vae-bf16", weight_name="LoRA/skin_texture_style_v4.safetensors", prefix="unet")
@@ -186,13 +190,7 @@ def load_and_prepare_model():
     
     #pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/epicNewPhoto.safetensors", adapter_name="photo")
     #pipe.set_adapters(["skin", "photo", "fantasy"], adapter_weights=[0.75, 0.25, 0.5])
-    pipe.set_adapters(["skin"], adapter_weights=[0.5])
-
-    pipe.to(device)
-    pipe.to(torch.bfloat16)
-
-    #pipe.unet.set_default_attn_processor()
-    pipe.vae.set_default_attn_processor()
+    pipe.set_adapters(["skin"], adapter_weights=[0.5])    #pipe.unet.set_default_attn_processor()
     
     print(f'Pipeline: ')
     #print(f'_optional_components: {pipe._optional_components}')