face2inpaint

app.py

@@ -0,0 +1,37 @@
+from PIL import Image
+import torch
+import gradio as gr
+
+
+#from torch.fx import symbolic_trace
+device = 'cuda' if torch.cuda.is_available() else 'cpu'
+
+
+model1 = torch.hub.load('bryandlee/animegan2-pytorch:main','generator',pretrained='face_paint_512_v1',device=device)
+model2 = torch.hub.load('bryandlee/animegan2-pytorch:main','generator',pretrained='face_paint_512_v2',device=device)
+model3 = torch.hub.load('bryandlee/animegan2-pytorch:main','generator',pretrained='celeba_distill', device=device)
+model4 = torch.hub.load('bryandlee/animegan2-pytorch:main','generator',pretrained='paprika',device=device)
+
+face2paint = torch.hub.load(
+    'bryandlee/animegan2-pytorch:main', 'face2paint', 
+    size=512, device=device,side_by_side=False
+)
+def inference(img, ver):
+    if ver == 'version 1':
+        out = face2paint(model1,img)
+    elif ver == 'version 2':
+        out = face2paint(model2,img)
+    elif ver == 'version 3':
+        out = face2paint(model3, img)
+    elif ver == 'version 4':
+        out = face2paint(model4, img)
+    return out
+
+title = 'KNU BrainAI LAB : Face to Paint'
+# 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."
+description = '만화로 바뀐 내 얼굴을 확인해보세요!'
+# description = 'version1 : 여성스러운\n version2: 남성스러운\n version3: 웹툰같은\n version4: 작품같은'
+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=[['아이유.png','version 1-아이유'],['안상태교수님.png','version 2-안상태교수님'],['일론머스크.png','version 3-일론머스크'],['현빈.png','version 4-현빈']]
+gr.Interface(inference, [gr.inputs.Image(type="pil"),gr.inputs.Radio(['version 1','version 2','version 3','version 4'], type="value", default='version 2', label='version')],
+gr.outputs.Image(type="pil"),title=title,description=description,article=article,examples=examples,allow_flagging=False,allow_screenshot=False,css="body {background-image: url('file=brainai.png')}").launch(share=True)