Re:Stable Diffusion with Core ML on Apple Silicon
by rowanG077 on Friday December 02, 2022 @09:36AM
(#33830923)
Artist most definitely don't create images/styles out of thin air. No human can creatively create anything out of thin air.
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Re:Stable Diffusion with Core ML on Apple Silicon
by idiotsecant on Friday December 02, 2022 @11:32AM
(#33832717)
I think humans do in fact create things out of 'thin air' - but only in very, very small pieces. What we consider to be an absolute genius is typically a person who has made one small original thought and applied it to what already exists to make something different.
Re:Stable Diffusion with Core ML on Apple Silicon
by rowanG077 on Friday December 02, 2022 @12:05PM
(#33833236)
Creating something novel is not even remotely the same as creating something out of thin air. Even the genius with an original thought only could come by that thought by being informed through their life experiences. Not unlike an AI training set allowing an AI to create something novel.
Re:Stable Diffusion with Core ML on Apple Silicon
by idiotsecant on Friday December 02, 2022 @01:20PM
(#33834469)
Is creation coming about by analysis of life experience somehow different from creation coming about by analysis of training data?
Re:Stable Diffusion with Core ML on Apple Silicon
by astrange on Friday December 02, 2022 @08:44PM
(#33839447)
Yes, because it's multimodal, and because you can think of new things to look at and go out in the world to look at them.
Re:Stable Diffusion with Core ML on Apple Silicon
by astrange on Friday December 02, 2022 @08:43PM
(#33839441)
Humans have access to much better thinking abilities than art AIs do.
e.g. SD2 prompted with "not a cat" produces a cat, and "1 + 1" doesn't produce "2".
Re:Stable Diffusion with Core ML on Apple Silicon
by pmarreck on Monday December 05, 2022 @12:24PM
(#33868578)
Some stable diffusion interfaces let you specify a "negative input" which will bias results away from it. It wouldn't be terribly hard to do some semantic interpretation prior to submission to the model that would turn "not a <thing>" into "negate-input <thing>"