Advice on settings for Hi Res Results
I'd like advice on the best configuration for high resolution face swaps. I'll have roughly 15K images of each face extracted at 1024 from hi-res photos. I did prep some of the photos using GFP-GAN. I assume Phaze-A, but which training preset to start with and what settings to toy with. The end result is what matters, not the time it takes to run the models. I should have 40GB of VRAM to play with, so the model can be pretty large.
Does a smaller batch size and shallow learning curve sacrifice time for a better result? I've read that increasing filters in Phaze-A is the best use of VRAM, but not sure where to start. Also, since photos don't present a consistent "range" of faces should I use instance normalization rather than batch normalization?
So many settings in Phaze-A it makes my shot glass of a brain overflow.