revert

app.py

@@ -14,8 +14,6 @@ import numpy as np
 import imageio
 import torch
 from PIL import Image
-import torch._dynamo
-torch._dynamo.config.suppress_errors = True
 from diffusers import (
     ControlNetModel,
     DPMSolverMultistepScheduler,
@@ -87,8 +85,6 @@ if gr.NO_RELOAD:
     
     # experimental speedup?
     # pipe.compile()
-    pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
-    print("Model Compiled!")
     
     # torch.cuda.empty_cache()
     # gc.collect()
@@ -361,7 +357,7 @@ def process_image(
         image_resolution=image_resolution,
         detect_resolution=preprocess_resolution,
     )
-    if style_selection is not None or style_selection is not "None":
+    if style_selection is not None or style_selection != "None":
         prompt = apply_style(style_selection) + "," + prompt
         
     custom_prompt=str(get_prompt(prompt, a_prompt))