The place to discuss Faceswap and Deepfakes
https://forum.faceswap.dev/
Question:
Do you need more iterations to get a quality model if you use a higher number of faces?
Does a 1.000.000 Iterations with 2000 faces give the same result as 1.000.000 with 4000 ?
Just curious...
If you add too many similar faces, yes it does take longer. It becomes harder for a batch to represent a significant amount of the variations in your dataset and causes it to overlearn the similar images. That can even double total training time. This is why we recommend using as much variety in generating your data as possible.