Duplicate from AlejandroLanaspa/image-demo

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README.md

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+---
+title: Image Demo
+emoji: 📈
+colorFrom: yellow
+colorTo: pink
+sdk: gradio
+sdk_version: 3.18.0
+app_file: app.py
+pinned: false
+duplicated_from: AlejandroLanaspa/image-demo
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+from PIL import Image
+import torch
+
+model2 = torch.hub.load(
+    "AK391/animegan2-pytorch:main",
+    "generator",
+    pretrained=True,
+    progress=False
+)
+model1 = torch.hub.load("AK391/animegan2-pytorch:main", "generator", pretrained="face_paint_512_v1")
+face2paint = torch.hub.load(
+    'AK391/animegan2-pytorch:main', 'face2paint', 
+    size=512,side_by_side=False
+)
+
+def inference(img, ver):
+    if ver == 'version 2 (🔺 robustness,🔻 stylization)':
+        out = face2paint(model2, img)
+    else:
+        out = face2paint(model1, img)
+    return out
+
+title = "Portrait of your Pet"
+description = "Demo for Pet Portrait. To use it, simply upload your image, or click one of the examples to load them."
+article = "Github Repo Pytorch "
+examples=[['groot.jpeg','version 2 (🔺 robustness,🔻 stylization)'],['gongyoo.jpeg','version 2 (🔺 robustness,🔻 stylization)']]
+
+demo = gr.Interface(
+    fn=inference, 
+    inputs=[gr.inputs.Image(type="pil"),gr.inputs.Radio(['version 2 (🔺 robustness,🔻 stylization)'], type="value", default='version 2 (🔺 robustness,🔻 stylization)', label='version')], 
+    outputs=gr.outputs.Image(type="pil"),
+    title=title,
+    description=description,
+    article=article,
+    examples=examples)
+
+demo.launch()

requirements.txt

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+torch
+torchvision
+Pillow
+gdown
+numpy
+scipy
+cmake
+onnxruntime-gpu
+opencv-python-headless