Update app.py

app.py

@@ -13,8 +13,12 @@ if torch.cuda.is_available():
 else:
     torch_dtype = torch.float32
 
-pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
-pipe = pipe.to(device)
+pipe = DiffusionPipeline.from_pretrained(model_repo_id, revision="fp16", torch_dtype=torch_dtype)
+pipe.enable_model_cpu_offload()
+pipe.enable_vae_slicing()
+
+def safety_checker(images, **kwargs): return images, False
+pipe.safety_checker = safety_checker
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 512