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import os
from PIL import Image
import gradio as gr
from torchvision import transforms
import easydict
import torch
import numpy as np
import model_build
psp = model_build.build_psp()
stylegan2 = model_build.build_stylegan2()
pretransform = transforms.Compose([
transforms.Resize((256, 256)),
transforms.ToTensor(),
transforms.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])])
def pipeline(img):
img = model_build.img_preprocess(img, pretransform)
with torch.no_grad():
_, latent_space = psp(img.float(), randomize_noise=True, resize=False, return_latents=True)
img = stylegan2(latent_space, noise_mode='none')
img = Image.fromarray(np.array((img.permute(0, 2, 3, 1) * 127.5 + 128).clamp(0, 255).to(torch.uint8).squeeze(0)[20:-20,:,:]))
img.save('output.png')
return 'output.png'
examples=[['1.png',False], ['2.png', False], ['3.png', False], ['4.png', False], ['5.png', False]]
description="이미지 업로드 후 연필모양 아이콘 누르면 정사각형으로 자르기 할 수 있습니다. 디테일은 좀 떨어짐. 얼굴 각도(?)에 따라 잘 안될수도 있음. After uploading the image, you can square crop."
gr.Interface(pipeline, [gr.inputs.Image(type="pil")], gr.outputs.Image(type="file"),description=description,allow_flagging=False,examples=examples,allow_screenshot=False,enable_queue=False).launch()
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