Update app.py

app.py

@@ -14,14 +14,18 @@ if torch.cuda.is_available():
 else:
     torch_dtype = torch.float32
 
-pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
+pipe = DiffusionPipeline.from_pretrained(
+model_repo_id,
+torch_dtype=torch_dtype,
+safety_checker=None # Disable safety checker
+)
 pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
 
 
-# @spaces.GPU #[uncomment to use ZeroGPU]
+ @spaces.GPU #[uncomment to use ZeroGPU]
 def infer(
     prompt,
     negative_prompt,