Delete gradio_scribble2image_interactive.py
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gradio_scribble2image_interactive.py
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# This file is adapted from https://github.com/lllyasviel/ControlNet/blob/f4748e3630d8141d7765e2bd9b1e348f47847707/gradio_scribble2image_interactive.py
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# The original license file is LICENSE.ControlNet in this repo.
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import gradio as gr
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import numpy as np
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def create_canvas(w, h):
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return np.zeros(shape=(h, w, 3), dtype=np.uint8) + 255
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def create_demo(process, max_images=12):
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with gr.Blocks() as demo:
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with gr.Row():
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gr.Markdown(
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'## Control Stable Diffusion with Interactive Scribbles')
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with gr.Row():
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with gr.Column():
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canvas_width = gr.Slider(label='Canvas Width',
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minimum=256,
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maximum=1024,
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value=512,
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step=1)
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canvas_height = gr.Slider(label='Canvas Height',
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minimum=256,
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maximum=1024,
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value=512,
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step=1)
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create_button = gr.Button(label='Start',
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value='Open drawing canvas!')
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input_image = gr.Image(source='upload',
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type='numpy',
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tool='sketch')
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gr.Markdown(
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value=
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'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.) '
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'Just click on the small pencil icon in the upper right corner of the above block.'
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)
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create_button.click(fn=create_canvas,
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inputs=[canvas_width, canvas_height],
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outputs=[input_image],
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queue=False)
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prompt = gr.Textbox(label='Prompt')
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run_button = gr.Button(label='Run')
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with gr.Accordion('Advanced options', open=False):
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num_samples = gr.Slider(label='Images',
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minimum=1,
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maximum=max_images,
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value=1,
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step=1)
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image_resolution = gr.Slider(label='Image Resolution',
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minimum=256,
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maximum=768,
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value=512,
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step=256)
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ddim_steps = gr.Slider(label='Steps',
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minimum=1,
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maximum=100,
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value=20,
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step=1)
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scale = gr.Slider(label='Guidance Scale',
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minimum=0.1,
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maximum=30.0,
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value=9.0,
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step=0.1)
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seed = gr.Slider(label='Seed',
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minimum=-1,
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maximum=2147483647,
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step=1,
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randomize=True,
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queue=False)
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eta = gr.Number(label='eta (DDIM)', value=0.0)
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a_prompt = gr.Textbox(
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label='Added Prompt',
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value='best quality, extremely detailed')
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n_prompt = gr.Textbox(
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label='Negative Prompt',
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value=
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'longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality'
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)
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with gr.Column():
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result_gallery = gr.Gallery(label='Output',
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show_label=False,
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elem_id='gallery').style(
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grid=2, height='auto')
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ips = [
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input_image, prompt, a_prompt, n_prompt, num_samples,
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image_resolution, ddim_steps, scale, seed, eta
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]
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run_button.click(fn=process, inputs=ips, outputs=[result_gallery])
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return demo
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