Update app_v3.py

app_v3.py

@@ -66,7 +66,7 @@ except Exception as e:
 # even with ample VRAM, as it can sometimes help with very large tensors.
 pipe.enable_attention_slicing()
 
-@spaces.GPU(duration=10)
+@spaces.GPU(duration=12)
 @torch.no_grad()
 def generate_image(prompt, scale, steps, control_image, controlnet_conditioning_scale, guidance_scale, seed, guidance_end):
     generator = torch.Generator().manual_seed(seed)
@@ -153,6 +153,7 @@ def process_image(control_image, user_prompt, system_prompt, scale, steps,
             seed=seed,
             guidance_end=guidance_end
         )
+        image.save("/tmp/" + str(seed) + "output.png")
         log_params(final_prompt, scale, steps, controlnet_conditioning_scale, guidance_scale, seed, guidance_end, control_image, image)
         yield f"Completed! Used prompt: {final_prompt}", image, final_prompt
     except Exception as e: