Update app.py

app.py

@@ -14,12 +14,6 @@ if torch.cuda.is_available():
 else:
     torch_dtype = torch.float32
 
-print("initialize", model_repo_id)
-pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
-#pipe.unet.load_adapter("um235/cartoon_cat_stickers")
-pipe.unet = PeftModel.from_pretrained(pipe.unet,"um235/cartoon_cat_stickers")
-pipe = pipe.to(device)
-
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024