| import os |
| 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 = "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)'],['bill.png','version 1 (🔺 stylization, 🔻 robustness)'],['tony.png','version 1 (🔺 stylization, 🔻 robustness)'],['elon.png','version 2 (🔺 robustness,🔻 stylization)'],['IU.png','version 1 (🔺 stylization, 🔻 robustness)'],['billie.png','version 2 (🔺 robustness,🔻 stylization)'],['will.png','version 2 (🔺 robustness,🔻 stylization)'],['beyonce.png','version 1 (🔺 stylization, 🔻 robustness)'],['gongyoo.jpeg','version 1 (🔺 stylization, 🔻 robustness)']] |
| 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,examples=examples,allow_flagging=False,allow_screenshot=False).launch(enable_queue=True,cache_examples=True) |
|
|
