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from __future__ import annotations |
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import gradio as gr |
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import numpy as np |
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from model import Model |
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DESCRIPTION = "# [StyleGAN3](https://github.com/NVlabs/stylegan3)" |
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def get_sample_image_url(name: str) -> str: |
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sample_image_dir = "https://huggingface.co/spaces/hysts/StyleGAN3/resolve/main/samples" |
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return f"{sample_image_dir}/{name}.jpg" |
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def get_sample_image_markdown(name: str) -> str: |
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url = get_sample_image_url(name) |
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size = 512 if name == "afhqv2" else 1024 |
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seed = "0-99" |
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return f""" |
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- size: {size}x{size} |
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- seed: {seed} |
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- truncation: 0.7 |
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![sample images]({url})""" |
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model = Model() |
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with gr.Blocks(css="style.css") as demo: |
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gr.Markdown(DESCRIPTION) |
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with gr.Tabs(): |
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with gr.TabItem("App"): |
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with gr.Row(): |
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with gr.Column(): |
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model_name = gr.Dropdown( |
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label="Model", choices=list(model.MODEL_NAME_DICT.keys()), value="FFHQ-1024-R" |
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) |
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seed = gr.Slider(label="Seed", minimum=0, maximum=np.iinfo(np.uint32).max, step=1, value=0) |
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psi = gr.Slider(label="Truncation psi", minimum=0, maximum=2, step=0.05, value=0.7) |
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tx = gr.Slider(label="Translate X", minimum=-1, maximum=1, step=0.05, value=0) |
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ty = gr.Slider(label="Translate Y", minimum=-1, maximum=1, step=0.05, value=0) |
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angle = gr.Slider(label="Angle", minimum=-180, maximum=180, step=5, value=0) |
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run_button = gr.Button() |
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with gr.Column(): |
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result = gr.Image(label="Result", elem_id="result") |
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with gr.TabItem("Sample Images"): |
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with gr.Row(): |
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model_name2 = gr.Dropdown( |
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[ |
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"afhqv2", |
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"ffhq", |
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"ffhq-u", |
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"metfaces", |
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"metfaces-u", |
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], |
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value="afhqv2", |
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label="Model", |
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) |
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with gr.Row(): |
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text = get_sample_image_markdown(model_name2.value) |
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sample_images = gr.Markdown(text) |
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run_button.click( |
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fn=model.set_model_and_generate_image, |
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inputs=[ |
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model_name, |
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seed, |
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psi, |
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tx, |
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ty, |
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angle, |
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], |
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outputs=result, |
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api_name="run", |
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) |
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model_name2.change( |
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fn=get_sample_image_markdown, |
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inputs=model_name2, |
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outputs=sample_images, |
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queue=False, |
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api_name=False, |
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) |
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if __name__ == "__main__": |
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demo.queue(max_size=20).launch() |
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