Update app.py

app.py

@@ -155,12 +155,12 @@ with gr.Blocks(css=css) as demo:
                 input_image = gr.Image(type="pil", sources=["upload"])
                 prompt_in = gr.Textbox(label="Prompt", value="Asian")
                 with gr.Accordion(label="Advanced settings", open=False):
-                    added_prompt = gr.Textbox(label="Added Prompt", value='clean, high-resolution, 8k, best quality, masterpiece'),
-                    neg_promp = gr.Textbox(label="Negative Prompt",value='dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality'),
-                    denoise_steps = gr.Slider(label="Denoise Steps", minimum=10, maximum=50, value=20, step=1),
-                    upsample_scale = gr.Slider(label="Upsample Scale", minimum=1, maximum=4, value=2, step=1),
-                    condition_scale = gr.Slider(label="Conditioning Scale", minimum=0.5, maximum=1.5, value=1.1, step=0.1),
-                    classifier_free_guidance = gr.Slider(label="Classier-free Guidance", minimum=0.1, maximum=10.0, value=7.5, step=0.1),
+                    added_prompt = gr.Textbox(label="Added Prompt", value='clean, high-resolution, 8k, best quality, masterpiece')
+                    neg_promp = gr.Textbox(label="Negative Prompt",value='dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality')
+                    denoise_steps = gr.Slider(label="Denoise Steps", minimum=10, maximum=50, value=20, step=1)
+                    upsample_scale = gr.Slider(label="Upsample Scale", minimum=1, maximum=4, value=2, step=1)
+                    condition_scale = gr.Slider(label="Conditioning Scale", minimum=0.5, maximum=1.5, value=1.1, step=0.1)
+                    classifier_free_guidance = gr.Slider(label="Classier-free Guidance", minimum=0.1, maximum=10.0, value=7.5, step=0.1)
                     seed = gr.Slider(label="Seed", minimum=-1, maximum=2147483647, step=1, randomize=True)]
                 submit_btn = gr.Button("Submit")
             with gr.Column():