Update app.py

app.py

@@ -29,16 +29,13 @@ def infer(
     width: int,
     height: int,
     num_inference_steps: int,
-    progress=gr.Progress(track_tqdm=True),
     model_id: Optional[str] = 'CompVis/stable-diffusion-v1-4',
     seed: Optional[int] = 42,
     guidance_scale: Optional[float] = 7.0,
+    progress=gr.Progress(track_tqdm=True),
 ):
     generator = torch.Generator().manual_seed(seed)
 
-    print('!!!!!!')
-    print(model_id)
-    print('!!!!!!')
     if model_id != model_repo_id_default:
         pipe = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch_dtype)
         pipe = pipe.to(device)
@@ -143,11 +140,12 @@ with gr.Blocks(css=css) as demo:
         inputs=[
             prompt,
             negative_prompt,
-            seed,
             width,
             height,
-            guidance_scale,
             num_inference_steps,
+            model_id,
+            seed,
+            guidance_scale,
         ],
         outputs=[
             result,