Update app.py

app.py

@@ -167,7 +167,7 @@ def load_and_prepare_model():
     
     #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 = DPMSolverMultistepScheduler.from_pretrained('SG161222/RealVisXL_V5.0', subfolder='scheduler', algorithm_type='sde-dpmsolver++')
-    pipe.vae = vaeX.to(torch.bfloat16)
+    pipe.vae = vaeX #.to(torch.bfloat16)
     #pipe.unet = unetX
     
     #pipe.vae.do_resize=False
@@ -182,8 +182,8 @@ def load_and_prepare_model():
     #pipe.scheduler=EulerAncestralDiscreteScheduler.from_pretrained('ford442/RealVisXL_V5.0_BF16', subfolder='scheduler',beta_schedule="scaled_linear")
     # pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/Fantasy_World_XL.safetensors", adapter_name="fantasy")
 
-    #pipe.vae.set_default_attn_processor()
-    #pipe.to(device, torch.bfloat16)
+    pipe.vae.set_default_attn_processor()
+    pipe.to(device, torch.bfloat16)
     
     #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")
@@ -192,8 +192,8 @@ def load_and_prepare_model():
     #pipe.unet = pipe.unet.to(memory_format=torch.contiguous_format)
     
         #Some typical diffusers pipeline optimizations
-    #pipe.unet.to(memory_format=torch.channels_last) #Unsupported by hidet, but does not seem to make a difference if disabled.
-    #pipe.enable_vae_tiling()
+    pipe.unet.to(memory_format=torch.channels_last) #Unsupported by hidet, but does not seem to make a difference if disabled.
+    pipe.enable_vae_tiling()
     #pipe.enable_xformers_memory_efficient_attention()
 
     
@@ -201,8 +201,8 @@ def load_and_prepare_model():
     #pipe.set_adapters(["skin", "photo", "fantasy"], adapter_weights=[0.75, 0.25, 0.5])
     #pipe.set_adapters(["skin"], adapter_weights=[0.5])    
     #pipe.unet.set_default_attn_processor()
-    pipe.to(device)
-    pipe.to(torch.bfloat16)
+    #pipe.to(device)
+    #pipe.to(torch.bfloat16)
 
     print(f'Pipeline: ')
     #print(f'_optional_components: {pipe._optional_components}')