> Stable Diffusion is going to be a lot better at telling whether two images are the same than a perceptual hash check. Why would it be? Stable diffusion is a

> Stable Diffusion is going to be a lot better at telling whether two images are the same than a perceptual hash check. Why would it be? Stable diffusion is a text-to-image model it's not at all focussed on determining whether images are the same. Secondly, I'm not proposing deduplication of the training set (I know some sibling comments have proposed this). I'm proposing a perceptual hash or similar check on the way out so that if a "generated image" is too similar to an image in the training set it gets dropped rather than returned.