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* changes * changes * revert changes * changes * add changeset * notebooks script * changes * changes --------- Co-authored-by: Ali Abid <aliabid94@gmail.com> Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com> Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com>
38 lines
1.6 KiB
Python
38 lines
1.6 KiB
Python
import gradio as gr
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import torch
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model2 = torch.hub.load(
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"AK391/animegan2-pytorch:main",
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"generator",
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pretrained=True,
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progress=False
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)
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model1 = torch.hub.load("AK391/animegan2-pytorch:main", "generator", pretrained="face_paint_512_v1")
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face2paint = torch.hub.load(
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'AK391/animegan2-pytorch:main', 'face2paint',
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size=512,side_by_side=False
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)
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def inference(img, ver):
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if ver == 'version 2 (🔺 robustness,🔻 stylization)':
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out = face2paint(model2, img)
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else:
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out = face2paint(model1, img)
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return out
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title = "AnimeGANv2"
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description = "Gradio Demo for AnimeGanv2 Face Portrait. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below. Please use a cropped portrait picture for best results similar to the examples below."
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article = "<p style='text-align: center'><a href='https://github.com/bryandlee/animegan2-pytorch' target='_blank'>Github Repo Pytorch</a></p> <center><img src='https://visitor-badge.glitch.me/badge?page_id=akhaliq_animegan' alt='visitor badge'></center></p>"
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examples=[['groot.jpeg','version 2 (🔺 robustness,🔻 stylization)'],['gongyoo.jpeg','version 1 (🔺 stylization, 🔻 robustness)']]
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demo = gr.Interface(
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fn=inference,
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inputs=[gr.Image(type="pil"),gr.Radio(['version 1 (🔺 stylization, 🔻 robustness)','version 2 (🔺 robustness,🔻 stylization)'], type="value", value='version 2 (🔺 robustness,🔻 stylization)', label='version')],
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outputs=gr.Image(type="pil"),
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title=title,
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description=description,
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article=article,
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examples=examples)
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demo.launch()
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