Thanks for context. Maybe a little too much woo in my post.

For me, the fidelity to decide which images are completely stored is either an interesting artifact or an interesting piece of the model.

But regardless it is very un-intuitive to me with respect to how diffusion models would train and behave, due to both mutation of training images as well as foreseeable lack of space to encode that much info into a single model state. Admittedly don't have much working experience with these sort of models.