One, the diffusion model's possible output space contains every RGB image ever. But two, it cannot ever possibly contain the original inputs verbatim, because (the size of the model)/(the size of the training set) comes out to be something like 0.2 KB per image. Unless it's an incredible compression algorithm, diffusion necessarily have learned something from the input rather than copy-pasting things, as claimed upthread.