The commercial use cases for generative art is not to make images that experts cannot discern as fake. It would be very expensive to annotate training images to

The commercial use cases for generative art is not to make images that experts cannot discern as fake. It would be very expensive to annotate training images to have physically correct reflection images and the value would be negligible. Realistically, if you want to produce something that is impossible to prove fake, you would have a vastly easier time doing such edits manually. We are very, very, very far from being able to push button churn out undiscernable fakes. Even making generically good outputs for art is a careful process with lots of iteration.