Update app.py

app.py

@@ -87,6 +87,7 @@ def generate(
     decoder_pipeline.to(device)
     
     generator = torch.Generator().manual_seed(seed)
+    print("prior_num_inference_steps: ", prior_num_inference_steps)
     prior_output = prior_pipeline(
         prompt=prompt,
         height=height,
@@ -272,8 +273,8 @@ with gr.Blocks() as demo:
 with gr.Blocks(css="style.css") as demo_with_history:
     with gr.Tab("App"):
         demo.render()
-    # with gr.Tab("Past generations"):
-    #     user_history.render()
+    with gr.Tab("Past generations"):
+        user_history.render()
 
 if __name__ == "__main__":
     demo_with_history.queue(max_size=20).launch()