Use fp32 for CPU diffusion pipeline.

app.py

@@ -33,8 +33,7 @@ if gpu:
     pipeline.to("cuda")
 else:
     pipeline = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5",
-                                                 custom_pipeline="stable_diffusion_mega", torch_dtype=torch.float32,
-                                                 revision="fp32", use_auth_token=AUTH_TOKEN)
+                                                 custom_pipeline="stable_diffusion_mega", use_auth_token=AUTH_TOKEN)
 
 # Huggingface Spaces have 16GB RAM and 8 CPU cores
 # See https://huggingface.co/docs/hub/spaces-overview#hardware-resources