TDN-M commited on
Commit
a817062
1 Parent(s): e2f565f

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +18 -6
app.py CHANGED
@@ -93,15 +93,19 @@ def get_demo():
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  gr.Markdown("## HairFastGan")
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  gr.Markdown(
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  '<div style="display: flex; align-items: center; gap: 10px;">'
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- '<span>TDNM DEMO:</span>'
 
 
 
 
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  '</div>'
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  )
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  with gr.Row():
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  with gr.Column():
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- source = gr.Image(label="Nguồn ảnh để thử kiểu tóc", type="pil")
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  with gr.Row():
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- shape = gr.Image(label="Ảnh với kiểu tóc mong muốn (optional)", type="pil")
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- color = gr.Image(label="Màu tóc mong muốn (optional)", type="pil")
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  with gr.Accordion("Advanced Options", open=False):
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  blending = gr.Radio(["Article", "Alternative_v1", "Alternative_v2"], value='Article',
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  label="Color Encoder version", info="Selects a model for hair color transfer.")
@@ -128,7 +132,15 @@ def get_demo():
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  btn.click(fn=swap_hair, inputs=[source, shape, color, blending, poisson_iters, poisson_erosion],
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  outputs=[output, error_message])
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- gr.Markdown('''Thank You
 
 
 
 
 
 
 
 
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  ''')
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  return demo
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@@ -136,4 +148,4 @@ def get_demo():
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  if __name__ == '__main__':
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  align_cache = LRUCache(maxsize=10)
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  demo = get_demo()
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- demo.launch(server_name="0.0.0.0", server_port=7860)
 
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  gr.Markdown("## HairFastGan")
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  gr.Markdown(
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  '<div style="display: flex; align-items: center; gap: 10px;">'
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+ '<span>Official HairFastGAN Gradio demo:</span>'
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+ '<a href="https://arxiv.org/abs/2404.01094"><img src="https://img.shields.io/badge/arXiv-2404.01094-b31b1b.svg" height=22.5></a>'
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+ '<a href="https://github.com/AIRI-Institute/HairFastGAN"><img src="https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white" height=22.5></a>'
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+ '<a href="https://huggingface.co/AIRI-Institute/HairFastGAN"><img src="https://huggingface.co/datasets/huggingface/badges/resolve/main/model-on-hf-md.svg" height=22.5></a>'
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+ '<a href="https://colab.research.google.com/#fileId=https://huggingface.co/AIRI-Institute/HairFastGAN/blob/main/notebooks/HairFast_inference.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" height=22.5></a>'
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  '</div>'
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  )
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  with gr.Row():
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  with gr.Column():
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+ source = gr.Image(label="Source photo to try on the hairstyle", type="pil")
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  with gr.Row():
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+ shape = gr.Image(label="Shape photo with desired hairstyle (optional)", type="pil")
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+ color = gr.Image(label="Color photo with desired hair color (optional)", type="pil")
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  with gr.Accordion("Advanced Options", open=False):
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  blending = gr.Radio(["Article", "Alternative_v1", "Alternative_v2"], value='Article',
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  label="Color Encoder version", info="Selects a model for hair color transfer.")
 
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  btn.click(fn=swap_hair, inputs=[source, shape, color, blending, poisson_iters, poisson_erosion],
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  outputs=[output, error_message])
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+ gr.Markdown('''To cite the paper by the authors
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+ ```
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+ @article{nikolaev2024hairfastgan,
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+ title={HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach},
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+ author={Nikolaev, Maxim and Kuznetsov, Mikhail and Vetrov, Dmitry and Alanov, Aibek},
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+ journal={arXiv preprint arXiv:2404.01094},
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+ year={2024}
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+ }
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+ ```
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  ''')
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  return demo
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  if __name__ == '__main__':
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  align_cache = LRUCache(maxsize=10)
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  demo = get_demo()
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+ demo.launch(server_name="0.0.0.0", server_port=7860)