Update app.py

app.py

@@ -41,6 +41,7 @@ batch_size = -1
 width = int(os.getenv("IMAGE_WIDTH", "512"))
 height = int(os.getenv("IMAGE_HEIGHT", "512"))
 num_images = int(os.getenv("NUM_IMAGES", "1"))
+guidance_scale = 1.0
 
 class CustomOVModelVaeDecoder(OVModelVaeDecoder):
     def __init__(
@@ -144,13 +145,6 @@ with gr.Blocks(css="style.css") as demo:
         )
         randomize_seed = gr.Checkbox(label="Randomize seed across runs", value=True)
         with gr.Row():
-            guidance_scale = gr.Slider(
-                label="Guidance scale for base",
-                minimum=1,
-                maximum=8,
-                step=0.1,
-                value=1.0,
-            )
             num_inference_steps = gr.Slider(
                 label="Number of inference steps for base",
                 minimum=1,