Update app.py

app.py

@@ -18,8 +18,6 @@ pipe = StableDiffusionXLPipeline.from_pretrained(
 pipe.unet = register_cross_attention_hook(pipe.unet)
 device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 pipe = pipe.to(device)
-if device == 'cpu':
-    pipe = pipe.to(dtype=torch.float32)
 
 
 def inference(prompt):
@@ -49,6 +47,7 @@ with gr.Blocks() as demo:
 
     btn.click(inference, prompt, [image, gallery])
 
+
 if __name__ == "__main__":
     demo.launch(share=True)