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import os | |
os.system("pip install gradio==2.8.0b3") | |
from PIL import Image | |
import torch | |
import gradio as gr | |
model2 = torch.hub.load( | |
"AK391/animegan2-pytorch:main", | |
"generator", | |
pretrained=True, | |
device="cuda", | |
progress=False | |
) | |
model1 = torch.hub.load("AK391/animegan2-pytorch:main", "generator", pretrained="face_paint_512_v1", device="cuda") | |
face2paint = torch.hub.load( | |
'AK391/animegan2-pytorch:main', 'face2paint', | |
size=512, device="cuda",side_by_side=False | |
) | |
def inference(img, ver): | |
if ver == 'version 2 (πΊ robustness,π» 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 (πΊ robustness,π» stylization)'],['bill.png','version 1 (πΊ stylization, π» robustness)'],['tony.png','version 1 (πΊ stylization, π» robustness)'],['elon.png','version 2 (πΊ robustness,π» stylization)'],['IU.png','version 1 (πΊ stylization, π» robustness)'],['billie.png','version 2 (πΊ robustness,π» stylization)'],['will.png','version 2 (πΊ robustness,π» stylization)'],['beyonce.png','version 1 (πΊ stylization, π» robustness)'],['gongyoo.jpeg','version 1 (πΊ stylization, π» robustness)']] | |
gr.Interface(inference, [gr.inputs.Image(type="pil"),gr.inputs.Radio(['version 1 (πΊ stylization, π» robustness)','version 2 (πΊ robustness,π» stylization)'], type="value", default='version 2 (πΊ robustness,π» 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) |