hysts/ControlNet

1# This file is adapted from https://github.com/lllyasviel/ControlNet/blob/f4748e3630d8141d7765e2bd9b1e348f47847707/gradio_fake_scribble2image.py2# The original license file is LICENSE.ControlNet in this repo.3import gradio as gr4 5 6def create_demo(process, max_images=12, default_num_images=3):7    with gr.Blocks() as demo:8        with gr.Row():9            gr.Markdown('## Control Stable Diffusion with Fake Scribble Maps')10        with gr.Row():11            with gr.Column():12                input_image = gr.Image(source='upload', type='numpy')13                prompt = gr.Textbox(label='Prompt')14                run_button = gr.Button(label='Run')15                with gr.Accordion('Advanced options', open=False):16                    num_samples = gr.Slider(label='Images',17                                            minimum=1,18                                            maximum=max_images,19                                            value=default_num_images,20                                            step=1)21                    image_resolution = gr.Slider(label='Image Resolution',22                                                 minimum=256,23                                                 maximum=512,24                                                 value=512,25                                                 step=256)26                    detect_resolution = gr.Slider(label='HED Resolution',27                                                  minimum=128,28                                                  maximum=512,29                                                  value=512,30                                                  step=1)31                    num_steps = gr.Slider(label='Steps',32                                          minimum=1,33                                          maximum=100,34                                          value=20,35                                          step=1)36                    guidance_scale = gr.Slider(label='Guidance Scale',37                                               minimum=0.1,38                                               maximum=30.0,39                                               value=9.0,40                                               step=0.1)41                    seed = gr.Slider(label='Seed',42                                     minimum=-1,43                                     maximum=2147483647,44                                     step=1,45                                     randomize=True)46                    a_prompt = gr.Textbox(47                        label='Added Prompt',48                        value='best quality, extremely detailed')49                    n_prompt = gr.Textbox(50                        label='Negative Prompt',51                        value=52                        'longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality'53                    )54            with gr.Column():55                result = gr.Gallery(label='Output',56                                    show_label=False,57                                    elem_id='gallery').style(grid=2,58                                                             height='auto')59        inputs = [60            input_image,61            prompt,62            a_prompt,63            n_prompt,64            num_samples,65            image_resolution,66            detect_resolution,67            num_steps,68            guidance_scale,69            seed,70        ]71        prompt.submit(fn=process, inputs=inputs, outputs=result)72        run_button.click(fn=process,73                         inputs=inputs,74                         outputs=result,75                         api_name='fake_scribble')76    return demo77 78 79if __name__ == '__main__':80    from model import Model81    model = Model()82    demo = create_demo(model.process_fake_scribble)83    demo.queue().launch()84