AI image generation models have massive sets of visual data to pull from in order to create unique outputs. And yet, researchers find that when models are pushed to produce images based on a series of slowly shifting prompts, it’ll default to just a handful of visual motifs, resulting in an ultimately generic style.
A study published in the journal Patterns took two AI image generators, Stable Diffusion XL and LLaVA, and put them to test by playing a game of visual telephone. The game…

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