Update app.py

app.py

@@ -14,7 +14,7 @@ import numpy as np
 from PIL import Image
 import torch
 import torch._dynamo
-imoprt diffusers
+import diffusers
 from diffusers import AutoencoderKL, StableDiffusionXLPipeline
 
 from diffusers import EulerAncestralDiscreteScheduler
@@ -188,8 +188,15 @@ def load_and_prepare_model():
     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")
     #pipe.text_encoder.load_lora_adapter("ford442/sdxl-vae-bf16", weight_name="LoRA/skin_texture_style_v4.safetensors", prefix="text_encoder")
+    
     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.enable_xformers_memory_efficient_attention()
 
+    
     #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])