Update app.py

app.py

@@ -22,7 +22,7 @@ MAX_SEED = np.iinfo(np.int32).max
 pipe = FluxKontextPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", torch_dtype=torch.bfloat16).to("cuda")
 optimize_pipeline_(pipe, image=Image.new("RGB", (512, 512)), prompt='prompt')
 
-@spaces.GPU(duration=18)
+@spaces.GPU(duration=21)
 def infer(input_image, prompt, seed=42, randomize_seed=False, guidance_scale=2.5, steps=28, progress=gr.Progress(track_tqdm=True)):
     start_load = time.time()
     """
@@ -89,7 +89,7 @@ def infer(input_image, prompt, seed=42, randomize_seed=False, guidance_scale=2.5
     print(f"Time Elapsed: {td(seconds=int(time.time() - start_load))}")
     return image, seed, gr.Button(visible=True)
 
-@spaces.GPU(duration=18)
+@spaces.GPU(duration=21)
 def infer_example(input_image, prompt):
     start_load = time.time()
     image, seed, _ = infer(input_image, prompt)