Can you use different size faces for the original and swap face sets, e.g. 256 for original and 512 for swap?
What actually happens when a higher resolution face set is used to train a lower resolution model, e.g. using 256 faces for dfl-h128 or 512 faces on sae set to 256? Does the face set get scaled down prior to being used for training?
Can you use different size faces for the original and swap face sets, e.g. 256 for original and 512 for swap?
No. All training images must be the same size.
What actually happens when a higher resolution face set is used to train a lower resolution model, e.g. using 256 faces for dfl-h128 or 512 faces on sae set to 256? Does the face set get scaled down prior to being used for training?
They get downscaled. All images get resized for the model.
It depends. If the coverage is 100%, then 256 extract will be fine. If the coverage is anything below 100%, then you'll want to extract at a higher resolution (maybe 384?)
Thanks! I had initially thought that the model's resolution was 1:1 with the faces used - that the enter face was saved regardless of the % coverage set, with the level of detail based on the mask...
But it makes so much more sense now! That's why in the training guide it says higher coverage means less quality!