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Training an embedding on AnythingV3 of a character I like, and some previews are nightmare inducing
@dirb this has been my experience every time people talk about AI art. i go type in a few prompts and it gives me nightmare fuel and i close it for another year.
@icedquinn I just recently had been aware you need to throw a lot of negative prompts to some models to avoid those things
@dirb they might get better if some things they've previously rendered are fed back in to training but with text indicating that they are nightmare fuel or something.
i dunno about diffusion models but GANs worked something like that. you have a nightmare detector that criticizes outputs and that somehow helped the bots generate more convincing fakes.
i dunno about diffusion models but GANs worked something like that. you have a nightmare detector that criticizes outputs and that somehow helped the bots generate more convincing fakes.
@icedquinn this is a text inversion run, so it's supposed to compare the generated images against the samples. all those images were form less than 10k iterations, and it's supposed to take a few ten of thousands
