lower zerogpu duration requirement + display tqdm tracking

app.py

@@ -23,8 +23,8 @@ pipeline = StableDiffusionXLPipeline.from_pretrained(
 pipeline.enable_model_cpu_offload() 
 pipeline.enable_vae_slicing()
 
-@spaces.GPU(duration=120)
-def run(ref_path, ref_style, ref_prompt, prompt1):
+@spaces.GPU(duration=60)
+def run(ref_path, ref_style, ref_prompt, prompt1, progress=gr.Progress(track_tqdm=True)):
     # DDIM inversion
     src_style = f"{ref_style}"
     src_prompt = f"{ref_prompt}, {src_style}."