import gradio as gr from PIL import Image import torch model_dir="./app/hub/animegan2-pytorch-main" model_dir_weight="./app/hub/checkpoints/face_paint_512_v1.pt" model2 = torch.hub.load( model_dir, "generator", pretrained=True, progress=False, source="local" ) model1 = torch.load(model_dir_weight) face2paint = torch.hub.load( model_dir, 'face2paint', size=512,side_by_side=False, source="local" ) 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 = "