Update app.py

app.py

@@ -22,7 +22,7 @@ pipe = FLUXPipelineWithIntermediateOutputs.from_pretrained(
 torch.cuda.empty_cache()
 
 # Inference function
-@spaces.GPU(duration=25, queue=False)
+@spaces.GPU(duration=25)
 def generate_image(prompt, seed=42, width=DEFAULT_WIDTH, height=DEFAULT_HEIGHT, randomize_seed=False, num_inference_steps=2, progress=gr.Progress(track_tqdm=True)):
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)