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| # This file is adapted from https://github.com/lllyasviel/ControlNet/blob/f4748e3630d8141d7765e2bd9b1e348f47847707/gradio_scribble2image_interactive.py | |
| # The original license file is LICENSE.ControlNet this repo. | |
| import gradio as gr | |
| import numpy as np | |
| def create_canvas(w, h): | |
| return np.zeros(shape=(h, w, 3), dtype=np.uint8) + 255 | |
| def create_demo(process): | |
| with gr.Blocks() as demo: | |
| with gr.Row(): | |
| gr.Markdown( | |
| '## Control Stable Diffusion with Interactive Scribbles') | |
| with gr.Row(): | |
| with gr.Column(): | |
| canvas_width = gr.Slider(label='Canvas Width', | |
| minimum=256, | |
| maximum=1024, | |
| value=512, | |
| step=1) | |
| canvas_height = gr.Slider(label='Canvas Height', | |
| minimum=256, | |
| maximum=1024, | |
| value=512, | |
| step=1) | |
| create_button = gr.Button(label='Start', | |
| value='Open drawing canvas!') | |
| input_image = gr.Image(source='upload', | |
| type='numpy', | |
| tool='sketch') | |
| gr.Markdown( | |
| value= | |
| 'Do not forget to change your brush width to make it thinner. (Gradio do not allow developers to set brush width so you need to do it manually.) ' | |
| 'Just click on the small pencil icon in the upper right corner of the above block.' | |
| ) | |
| create_button.click(fn=create_canvas, | |
| inputs=[canvas_width, canvas_height], | |
| outputs=[input_image]) | |
| 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=12, | |
| value=1, | |
| step=1) | |
| image_resolution = gr.Slider(label='Image Resolution', | |
| minimum=256, | |
| maximum=768, | |
| value=512, | |
| step=256) | |
| 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) | |
| 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, ddim_steps, scale, seed, eta | |
| ] | |
| run_button.click(fn=process, inputs=ips, outputs=[result_gallery]) | |
| return demo | |