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# please visit https://github.com/xfyun/aiges/releases to get stable and suitable iamges.
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FROM public.ecr.aws/iflytek-open/aiges-gpu:11.6-1.17-3.9.13-ubuntu1804-v2.0.0-rc6
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# do this if you are on the chinese server.
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RUN pip3 config set global.index-url https://pypi.mirrors.ustc.edu.cn/simple/
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ADD requirements.txt /home/aiges
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RUN pip install -r /home/aiges/requirements.txt
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ADD wrapper /home/aiges
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# companion.xfyun.iflytek:6868 is the default config center. It depends on how your athena serving framework built
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CMD ["sh", "-c", "./AIservice -m=0 -c=aiges.toml -s=svcName -u=http://companion.xfyun.iflytek:6868 -p=AIaaS -g=dx"]
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import gradio as gr
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from PIL import Image
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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.inputs.Image(type="pil"),gr.inputs.Radio(['version 1 (🔺 stylization, 🔻 robustness)','version 2 (🔺 robustness,🔻 stylization)'], type="value", default='version 2 (🔺 robustness,🔻 stylization)', label='version')],
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outputs=gr.outputs.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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# please keep the aiges for the latest
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aiges
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transformers
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torch
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diffusers
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accelerate
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