Update app.py

app.py

@@ -63,7 +63,7 @@ pipe = EllaXLPipeline(pipe,f'{pipeline_path}/pytorch_model.bin')
 
 # print(f"Optimizing finished successfully after {time.time()-t} secs")
 
-@spaces.GPU(enable_queue=True, duration = 120)
+@spaces.GPU(enable_queue=True)
 def infer(prompt,negative_prompt,seed,resolution, steps):
     
     # if 'cuda' not in pipe.pipe.device.type:
@@ -123,7 +123,7 @@ with gr.Blocks(css=css) as demo:
                 prompt_in = gr.Textbox(label="Prompt", value="A smiling man with wavy brown hair and a trimmed beard")
                 resolution = gr.Dropdown(value=resolutions[0], show_label=True, label="Resolution", choices=resolutions)
                 seed = gr.Textbox(label="Seed", value=-1)
-                steps = gr.Textbox(label="Steps", value=50)
+                steps = gr.Textbox(label="Steps", value=30)
                 negative_prompt = gr.Textbox(label="Negative Prompt", value=default_negative_prompt)
                 submit_btn = gr.Button("Generate")
         result = gr.Image(label="BRIA-2.3-T5 Result")