awacke1 commited on
Commit
c2898f3
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1 Parent(s): 8102f64

Update app.py

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  1. app.py +5 -10
app.py CHANGED
@@ -62,11 +62,8 @@ def nogan(input_img):
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  return output_image
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- title = "ToonClip Comics Hero Demo"
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- description = """
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- Gradio demo for ToonClip, a UNet++ network with MobileNet v3 backbone optimized for mobile frameworks and trained with VGG Perceptual Feature Loss using PyTorch Lighting.
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- To use it, simply upload an image with a face or choose an example from the list below.
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- """
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  article = """
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  <style>
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  .boxes{
@@ -82,11 +79,8 @@ article = """
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  }
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  </style>
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  <p style='text-align: center'>The \"ToonClip\" model was trained by <a href='https://twitter.com/JacopoMangia' target='_blank'>Jacopo Mangiavacchi</a> and available at <a href='https://github.com/jacopomangiavacchi/ComicsHeroMobileUNet' target='_blank'>Github Repo ComicsHeroMobileUNet</a></p>
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- <p style='text-align: center'>The \"Comics Hero dataset\" used to train this model was produced by <a href='https://linktr.ee/Norod78' target='_blank'>Doron Adler</a> and available at <a href='https://github.com/Norod/U-2-Net-StyleTransfer' target='_blank'>Github Repo Comics hero U2Net</a></p>
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- <p style='text-align: center'>The \"ToonClip\" iOS mobile app using a CoreML version of this model is available on Apple App Store at <a href='https://apps.apple.com/us/app/toonclip/id1536285338' target='_blank'>ToonClip</a></p>
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- <p style='text-align: center'>Blog post on <a href='https://medium.com/@JMangia/optimize-a-face-to-cartoon-style-transfer-model-trained-quickly-on-small-style-dataset-and-50594126e792' target='_blank'>Medium</a></p>
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  <br>
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- <p style='text-align: center'>Example images from untrained FFHQ validation set: </p>
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  <p>
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  <div id='mainDiv'>
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  <div id='divOne' class='boxes'>
@@ -152,6 +146,7 @@ article = """
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  </div>
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  </p>
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  """
 
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  examples=[['i01.jpeg'], ['i02.jpeg'], ['i03.jpeg'], ['i04.jpeg'], ['i05.jpeg'], ['i06.jpeg'], ['i07.jpeg'], ['i08.jpeg'], ['i09.jpeg'], ['i10.jpeg']]
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  iface = gr.Interface(
@@ -163,4 +158,4 @@ iface = gr.Interface(
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  article=article,
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  examples=examples)
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- iface.launch()
 
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  return output_image
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+ title = "Zoom, CLIP, Toon"
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+ description = """Image to Toon Using AI"""
 
 
 
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  article = """
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  <style>
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  .boxes{
 
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  }
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  </style>
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  <p style='text-align: center'>The \"ToonClip\" model was trained by <a href='https://twitter.com/JacopoMangia' target='_blank'>Jacopo Mangiavacchi</a> and available at <a href='https://github.com/jacopomangiavacchi/ComicsHeroMobileUNet' target='_blank'>Github Repo ComicsHeroMobileUNet</a></p>
 
 
 
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  <br>
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+ <p style='text-align: center'>Example images: </p>
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  <p>
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  <div id='mainDiv'>
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  <div id='divOne' class='boxes'>
 
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  </div>
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  </p>
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  """
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+
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  examples=[['i01.jpeg'], ['i02.jpeg'], ['i03.jpeg'], ['i04.jpeg'], ['i05.jpeg'], ['i06.jpeg'], ['i07.jpeg'], ['i08.jpeg'], ['i09.jpeg'], ['i10.jpeg']]
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  iface = gr.Interface(
 
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  article=article,
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  examples=examples)
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+ iface.launch()