Update app.py

app.py

@@ -26,10 +26,5 @@ def generate(prompt, steps):
 output_image = gr.Image(type="pil")
 demo = gr.Interface(fn=generate, inputs=[gr.Text, gr.slider], outputs=output_image)
 
-if __name__ == "__main__":
-    unet = UNet2DConditionModel.from_config(base, subfolder="unet").to("cuda", torch.float16)
-    unet.load_state_dict(load_file(hf_hub_download(repo, ckpt), device="cuda"))
-    pipe = StableDiffusionXLPipeline.from_pretrained(base, unet=unet, torch_dtype=torch.float16, variant="fp16").to("cuda")
-    # Ensure sampler uses "trailing" timesteps and "sample" prediction type.
-    pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing", prediction_type="sample")
-    demo.launch()
+
+demo.launch()