Update app.py

app.py

@@ -13,7 +13,7 @@ pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", tor
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 2048
 
-@spaces.GPU(duration=15)
+@spaces.GPU(duration=10)
 def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, num_inference_steps=4, progress=gr.Progress(track_tqdm=True)):
     """ 
     Generate an image using the Flux 1 Schnell Image Generator.
@@ -102,7 +102,7 @@ with gr.Blocks(css=css) as demo:
                 num_inference_steps = gr.Slider(
                     label="Number of inference steps",
                     minimum=1,
-                    maximum=50,
+                    maximum=16,
                     step=1,
                     value=4,
                 )