Update app.py

app.py

@@ -184,7 +184,7 @@ def infer_example(input_image_path, prompt, lora_adapter):
     width, height = update_dimensions_on_upload(input_pil)
     # Set reasonable default values for example inference
     guidance_scale = 4.0
-    steps = 25
+    steps = 4
     # Call the main infer function
     result, seed = infer(input_pil, prompt, lora_adapter, 0, True, guidance_scale, steps, width, height)
     return result, seed
@@ -225,7 +225,7 @@ with gr.Blocks(css=css, theme=steel_blue_theme) as demo:
                     seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0)
                     randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
                     guidance_scale = gr.Slider(label="Guidance Scale", minimum=1.0, maximum=10.0, step=0.1, value=4.0)
-                    steps = gr.Slider(label="Inference Steps", minimum=1, maximum=50, step=1, value=25)
+                    steps = gr.Slider(label="Inference Steps", minimum=1, maximum=50, step=1, value=4)
                     # Hidden sliders to hold image dimensions
                     height = gr.Slider(label="Height", minimum=256, maximum=1024, step=8, value=1024, visible=False)
                     width = gr.Slider(label="Width", minimum=256, maximum=1024, step=8, value=1024, visible=False)