| import gradio as gr | |
| import torch | |
| model2 = torch.hub.load( | |
| "AK391/animegan2-pytorch:main", | |
| "generator", | |
| pretrained=True, | |
| progress=False | |
| ) | |
| model1 = torch.hub.load("AK391/animegan2-pytorch:main", "generator", pretrained="face_paint_512_v1") | |
| face2paint = torch.hub.load( | |
| 'AK391/animegan2-pytorch:main', 'face2paint', | |
| size=512,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 = "AnimeGANv2" | |
| 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." | |
| 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>" | |
| examples=[['groot.jpeg','version 2 (🔺 robustness,🔻 stylization)'],['gongyoo.jpeg','version 1 (🔺 stylization, 🔻 robustness)']] | |
| demo = gr.Interface( | |
| fn=inference, | |
| inputs=[gr.Image(type="pil"),gr.Radio(['version 1 (🔺 stylization, 🔻 robustness)','version 2 (🔺 robustness,🔻 stylization)'], type="value", value='version 2 (🔺 robustness,🔻 stylization)', label='version')], | |
| outputs=gr.Image(type="pil"), | |
| title=title, | |
| description=description, | |
| article=article, | |
| examples=examples) | |
| demo.launch() | |