That is highly likely as that was one of the agreements to end the strike.
It's not that easy to retrain your model without them, instead I think it rather has to do with training data sets.
Take for example prompts of Keanu R vs Scarlett J riding a motorcycle, with no other input:
He is very much Keanu, but the girl could be almost anyone.
My opinion on why AI is still struggling with some actors (especially actresses or men who change their look often) is this:
1. Keanu has always looked mostly the same in his appearances, same few hair styles, colours, clothing etc. Scarlett's is all over the place
2. The same goes with age, we have say training data for both from ages 18-5x. Keanu has changed over that time but its pretty linear, Scarlett today often looks a lot different from when she was 18 (depending on her makeup, current Botox etc.)
3. So when I tell the AI to make me a pic of Keanu on a bike it is using neural network weights for him that are very close overall, so he always looks like himself. When blending Scarlett her weights are much bigger/wider/random so she becomes very generic, like when you take for example photos of 12 different actresses and blend their faces together, ie. you get someone that's pretty, but very generic looking.
Hands used to be more of an issue because the AI doesn't know that people have 5 fingers per hand, so including a lot of training data where you are showing less fingers confuses it more. You can fix this problem with very specific training that changes the weights towards more realistic ones but it takes specific training.
If they wanted to they could do the same with Scarlett, but obviously that's against the Hollywood/AI game at the moment so there's no incentive unlike with hands.
