Update app.py

app.py

@@ -36,7 +36,7 @@ def generate_image(prompt, ckpt):
         # Ensure sampler uses "trailing" timesteps.
         pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing")
         
-    pipe.unet.load_state_dict(load_file(hf_hub_download(repo, checkpoint), device="cuda"))
+    pipe.unet.load_state_dict(load_file(hf_hub_download(repo, checkpoint), device="cpu"))
     image = pipe(prompt, num_inference_steps=num_inference_steps, guidance_scale=0).images[0]
     return image