Update app.py

app.py

@@ -19,7 +19,7 @@ pipe = pipe.to(device)
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
 
-@spaces.GPU(duration=65) #[uncomment to use ZeroGPU]
+@spaces.GPU(duration=75) #[uncomment to use ZeroGPU]
 def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, true_guidance, num_inference_steps, progress=gr.Progress(track_tqdm=True)):
 
     if randomize_seed:
@@ -75,14 +75,14 @@ with gr.Blocks(css=css) as demo:
         with gr.Row():
             guidance_scale = gr.Slider(
                 label="Distilled Guidance scale",
-                minimum=0.0,
+                minimum=1.0,
                 maximum=10.0,
                 step=0.1,
                 value=1.0, #Replace with defaults that work for your model
             )
             true_guidance = gr.Slider(
                 label="True CFG scale",
-                minimum=0.0,
+                minimum=1.0,
                 maximum=10.0,
                 step=0.1,
                 value=5.0, #Replace with defaults that work for your model