| | |
| | |
| | import gradio as gr |
| |
|
| |
|
| | def create_demo(process, max_images=12): |
| | with gr.Blocks() as demo: |
| | with gr.Row(): |
| | gr.Markdown('## Control Stable Diffusion with Human Pose') |
| | with gr.Row(): |
| | with gr.Column(): |
| | input_image = gr.Image(source='upload', type='numpy') |
| | prompt = gr.Textbox(label='Prompt') |
| | run_button = gr.Button(label='Run') |
| | with gr.Accordion('Advanced options', open=False): |
| | num_samples = gr.Slider(label='Images', |
| | minimum=1, |
| | maximum=max_images, |
| | value=1, |
| | step=1) |
| | image_resolution = gr.Slider(label='Image Resolution', |
| | minimum=256, |
| | maximum=768, |
| | value=512, |
| | step=256) |
| | detect_resolution = gr.Slider(label='OpenPose Resolution', |
| | minimum=128, |
| | maximum=1024, |
| | value=512, |
| | step=1) |
| | ddim_steps = gr.Slider(label='Steps', |
| | minimum=1, |
| | maximum=100, |
| | value=20, |
| | step=1) |
| | scale = gr.Slider(label='Guidance Scale', |
| | minimum=0.1, |
| | maximum=30.0, |
| | value=9.0, |
| | step=0.1) |
| | seed = gr.Slider(label='Seed', |
| | minimum=-1, |
| | maximum=2147483647, |
| | step=1, |
| | randomize=True, |
| | queue=False) |
| | eta = gr.Number(label='eta (DDIM)', value=0.0) |
| | a_prompt = gr.Textbox( |
| | label='Added Prompt', |
| | value='best quality, extremely detailed') |
| | n_prompt = gr.Textbox( |
| | label='Negative Prompt', |
| | value= |
| | 'longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality' |
| | ) |
| | with gr.Column(): |
| | result_gallery = gr.Gallery(label='Output', |
| | show_label=False, |
| | elem_id='gallery').style( |
| | grid=2, height='auto') |
| | ips = [ |
| | input_image, prompt, a_prompt, n_prompt, num_samples, |
| | image_resolution, detect_resolution, ddim_steps, scale, seed, eta |
| | ] |
| | run_button.click(fn=process, |
| | inputs=ips, |
| | outputs=[result_gallery], |
| | api_name='pose') |
| | return demo |
| |
|
