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from PIL import Image
import torch
import torchvision
import gradio
Instructuction = "Select a Unique Portrait Image of yourself"
title="I am something of a Painter, Anime-Edition (AnimeGAN-V2)"
description = "Drag/Drop or Upload a cute portrait Image of yourself or anyone you find interesting 😉, then observe how this Generative model\
is able to Generate a cute Anime-Cartoon version of your Image."
article = """
- Select an image from the examples provided as demo image,
- Click submit to Generate Image,
- Tips: Quality Images with Great brightness/without pre-existing filters work better (Image Noise).
- Privacy: No user data is collected or saved,
- Credits to akhaliq/AnimeGANv2 for original AnimeGanV2"""
model = torch.hub.load(
"AK391/animegan2-pytorch:main",
"generator",
pretrained=True,
#device="cuda",
progress=False
)
face2paint = torch.hub.load(
'AK391/animegan2-pytorch:main', 'face2paint',
size=512, #device="cuda",
side_by_side=False
)
def inference(img):
return face2paint(model, img)
gradio.Interface(inference,
inputs=gradio.Image(type='pil'),
outputs=gradio.Image(type='pil'),
Instructuction=Instructuction, title=title, description=description, article=article,
examples=['Upload Xty.png',
'Upload Tg.png']).launch()
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