Update app.py

app.py

@@ -20,10 +20,11 @@ else:
     torch_dtype = torch.float32
 
 pipe = DiffusionPipeline.from_pretrained(
-    model_repo_id, torch_dtype=torch_dtype, use_auth_token=HF_TOKEN
+    model_repo_id, torch_dtype=torch_dtype, token=HF_TOKEN
 )
 pipe = pipe.to(device)
 
+
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024