Want to understand the training process better? Got tips for which model to use and when? This is the place for you
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This forum is for discussing tips and understanding the process involved with Training a Faceswap model.
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Is there any benefit to stepping down the batch size as the model learns? My general recipe is run at max batch size for a few days, cut that batch size in 1/2 for a few more. Then remove warping and cut that batch size in 1/2 again and run for a day.
What do you find works best? Thanks in advance.
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The general working theory is that bigger batches generalize better, smaller batches are better at catching differences between images.