The simple answer is that there is no clean cut list of artists that it "understands". The model has no explicitly programmed concept of artist or style -- just

The simple answer is that there is no clean cut list of artists that it "understands". The model has no explicitly programmed concept of artist or style -- just the CLIP based text encoding used to train the conditional autoencoding part of the denoiser network, trained on (AFAIK) caption data recorded with the image. So in practice asking for art "in the style of <x>" is sort of limiting the denoiser to statistical pathways resembling other images captioned "in the style of <x>". At least, that's my understanding. Still trying to grok ML and diffusion models.