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Answers:

  • target_w/target_h correspond to $c_{ar} = (h_{tgt},w_{tgt})$ (conditioning on the bucket size used when training)
  • crop_w / crop_h let you simulate the amount of cropping during inference (didn't manage to get this to work)
  • width/height correspond to c_size, which is used to set the apparent resolution

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@vedantroy
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