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Ahsen Khaliq
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a058c0e
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Parent(s):
fa82f73
Update app.py
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app.py
CHANGED
@@ -82,14 +82,14 @@ def inference(img):
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original_my_sample = original_generator(my_w, input_is_latent=True)
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my_sample = generator(my_w, input_is_latent=True)
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npimage = my_sample[0].permute(1, 2, 0).detach().numpy()
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imageio.imwrite('filename.jpeg', npimage)
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return 'filename.jpeg'
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title = "
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description = "Gradio Demo for JoJoGAN: One Shot Face Stylization. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
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article = "<p style='text-align: center'><a href='https://github.com/mchong6/JoJoGAN' target='_blank'>Github Repo Pytorch</a></p> <center><img src='https://visitor-badge.glitch.me/badge?page_id=akhaliq_jojogan' alt='visitor badge'></center> <p style='text-align: center'>samples from repo: <img src='https://raw.githubusercontent.com/mchong6/JoJoGAN/main/teaser.jpg' alt='animation'/></p>"
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examples=[['iu.jpeg']]
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gr.Interface(inference, [gr.inputs.Image(type="pil")], gr.outputs.Image(type="file"),title=title,description=description,article=article,enable_queue=True,allow_flagging=False,examples=examples).launch()
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original_my_sample = original_generator(my_w, input_is_latent=True)
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my_sample = generator(my_w, input_is_latent=True)
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npimage = my_sample[0].permute(1, 2, 0).detach().numpy()
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imageio.imwrite('filename.jpeg', npimage)
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return 'filename.jpeg'
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title = "JoJoGAN"
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description = "Gradio Demo for JoJoGAN: One Shot Face Stylization. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
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article = "<p style='text-align: center'><a href='https://github.com/mchong6/JoJoGAN' target='_blank'>Github Repo Pytorch</a></p> <center><img src='https://visitor-badge.glitch.me/badge?page_id=akhaliq_jojogan' alt='visitor badge'></center> <p style='text-align: center'>samples from repo: <img src='https://raw.githubusercontent.com/mchong6/JoJoGAN/main/teaser.jpg' alt='animation'/></p>"
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examples=[['iu.jpeg']]
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gr.Interface(inference, [gr.inputs.Image(type="pil",shape=(512,512))], gr.outputs.Image(type="file"),title=title,description=description,article=article,enable_queue=True,allow_flagging=False,examples=examples).launch()
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