Update app.py

app.py

@@ -38,6 +38,8 @@ torch.backends.cudnn.benchmark = False
 
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 
+def fake_generate(**kwargs):
+    print(kwargs)
 
 def load_pipeline(model_name):
     vae = AutoencoderKL.from_pretrained(
@@ -424,7 +426,7 @@ with gr.Blocks(css="style.css", theme="NoCrypt/[email protected]") as demo:
                 examples=config.examples,
                 inputs=prompt,
                 outputs=[result, gr_metadata],
-                #fn=lambda *args, **kwargs: generate(*args, use_upscaler=True, **kwargs),
+                fn=lambda *args, **kwargs: fake_generate(*args, use_upscaler=True, **kwargs),
                 cache_examples=CACHE_EXAMPLES,
             )
     use_upscaler.change(