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| from PIL import Image | |
| import torch | |
| import gradio as gr | |
| model2 = torch.hub.load( | |
| "AK391/animegan2-pytorch:main", | |
| "generator", | |
| pretrained=True, | |
| device="cpu", | |
| progress=False | |
| ) | |
| model1 = torch.hub.load("AK391/animegan2-pytorch:main", | |
| "generator", pretrained="face_paint_512_v1", device="cpu") | |
| face2paint = torch.hub.load( | |
| 'AK391/animegan2-pytorch:main', 'face2paint', | |
| size=512, device="cpu", side_by_side=False | |
| ) | |
| def inference(img, ver): | |
| if ver == 'version 2 (🔺 robustness,🔻 stylization)': | |
| out = face2paint(model2, img) | |
| else: | |
| out = face2paint(model1, img) | |
| return out | |
| title = "Face Anime For You" | |
| description = "Online Demo for AnimeGanv2 Face Portrait v2. To use it, simply upload your image, or click one of the examples to load them. Please use a cropped portrait picture for best results similar to the examples below.\n" + \ | |
| "基于AnimeGanv2-动漫风格人脸迁移的在线应用示例。点击下面的窗口以上传图片，或者点击以加载Examples中的图片。请使用与示例中的图片风格相近的照片，确保图片的主体是人脸、五官清晰、没有遮挡，光线良好。" | |
| article = "<p style='text-align: center'>❤ from Bruce</p>" | |
| examples = [['elon.png', 'version 2 (🔺 robustness,🔻 stylization)'], | |
| ['IU.png', 'version 2 (🔺 robustness,🔻 stylization)']] | |
| gr.Interface(inference, [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') | |
| ], gr.outputs.Image(type="pil"), title=title, description=description, article=article, enable_queue=True, examples=examples, allow_flagging=False, allow_screenshot=False).launch() | |