If diffusion models were a perfect bijection between the latent space and the space of possible images, that would make sense, but they're obviously not. If you could repeat this procedure and find exact duplicates of images which were not in the training data, you'd have a point.
SuddenlyBANANAS t1_j6waypu wrote
Reply to comment by Argamanthys in [R] Extracting Training Data from Diffusion Models by pm_me_your_pay_slips
If diffusion models were a perfect bijection between the latent space and the space of possible images, that would make sense, but they're obviously not. If you could repeat this procedure and find exact duplicates of images which were not in the training data, you'd have a point.