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1 Parent(s): 0e173d8

Update app.py

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  1. app.py +3 -3
app.py CHANGED
@@ -136,9 +136,9 @@ def setsample(image):
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  # run.click(fn=inference, inputs=inp, outputs=out)
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  title = "GANs N' Roses"
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  description = """Convert real-life face images into diverse anime versions of themselves. Use the default sample image or replace the input
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- by first clicking X then dragging a new image into the Input box. Crop the image by cliking the pen tool. Click <b>Run</b> to transform the input
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- into an anime version. Click <b>Clear</b> to clear the ouput box. Try running it multiple times for different anime styles!"""
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- article = """<p>GANs N' Roses (GNR) is an image-to-image framework for face images that uses a multimodal approach with novel definitions for content and style.
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  <b>Content</b> is defined as what changes when a augmentations are applied to a face image. <b>Style</b> is defined as what does not change when augmentations
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  are applied to a face image.</p>
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  <p>GNR's implementation borrows heavily from StyleGAN2; however, adversarial loss is derived from the introduced content and style definitions, ensuring diversity of
 
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  # run.click(fn=inference, inputs=inp, outputs=out)
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  title = "GANs N' Roses"
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  description = """Convert real-life face images into diverse anime versions of themselves. Use the default sample image or replace the input
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+ by first clicking X then dragging a new image into the Input box. Crop the image by clicking the pen tool. Click <b>Run</b> to transform the input
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+ into an anime version. Click <b>Clear</b> to clear the output box. Try running it multiple times for different anime styles!"""
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+ article = """<p>GANs N' Roses (GNR) is an image-to-image framework for face images that uses a multi-modal approach with novel definitions for content and style.
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  <b>Content</b> is defined as what changes when a augmentations are applied to a face image. <b>Style</b> is defined as what does not change when augmentations
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  are applied to a face image.</p>
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  <p>GNR's implementation borrows heavily from StyleGAN2; however, adversarial loss is derived from the introduced content and style definitions, ensuring diversity of