Update app.py

app.py

@@ -29,7 +29,7 @@ pipe_schnell = DiffusionPipeline.from_pretrained(
 )
 
 @spaces.GPU(duration=75)
-def run_parallel_models(prompt):
+def run_parallel_models(prompt, progress=gr.Progress(track_tqdm=True)):
     pipe_dev.load_lora_weights(hyper_lora)
     image = pipe_dev(prompt, num_inference_steps=8, joint_attention_kwargs={"scale": 0.125}).images[0]
     pipe_dev.unload_lora_weights()