I hit 412k iterations on Villain @ batch size 26 with average 21.6 EGs/s
I do not think that it still learns at this point and the results aren't the greatest. Not close to the quality I see on some youtube examples. I will leave it go for another 100k iterations.
I was wondering if there's a way for any of you experts to take a look at the faces/settings/sources I used for this swap. I feel like I'm real close to getting that great, clean swap but I need some fine tuning/help.
The more you train the less the return, especially once over a few thousand It's x EG;s.
It's not linear, so training for another 25% of time doesn't gve you a 25% better swap. As you summized, learning reduces the more you train.
I've done experiments at 450k, 650k and 1 million and the gain in swap quality between 650k and 1 million is small, best balance was at 650k. At 1 million it had still not converged but training more was a waste if time.
The cure to get better is many many more face images of sharp quality from sources at the right size to match what you want to swap (close up, mid field or far away) to feed in to the training.
He lists one himself in the description of that video. Hitfilm Express. But it's not going to be a "drag and drop" or one click solution. It's something that you'll actually have to get experience, practice and effort in.