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  If the book has an odor, load the inside with baking soda, leave it overnight, then shake it out thoroughly.
  
  The latent code can be the original z, or z after it’s passed
  through the stack of 8 FC layers and has been transformed, or
  it can even be the various per-layer style noises inside the CNN part of StyleGAN; the last is
  what style-image-prior uses & Gabbay & Hoshen201945 argue that it works better to target the layer-wise encodings than the original z.
  They can also occur in isolated spots or together as a group.
  StyleGAN can also be trained on the interactive Google Colab service, which
  provides free slices of K80 GPUs 12-GPU-hour chunks, using this
  Colab notebook. The necessary labels (a few hundred to a
  few thousand will be adequate since the z is only 512 variables) can be obtained by hand or by using a pre-existing
  classifier. The Reddit user Jepacor also has done
  Marisa, using Danbooru samples. This new bunny-ear
  StyleGAN will then produce bunny-ear samples half the time, circumventing the rare base rate issue (or failure
  to learn, or nonexistence in dataset), and enabling efficient training of a classifier.
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