this post was submitted on 13 Apr 2024
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why would they do this, doesn't that reduce the quality of training dataset?
No.
I feel I should explain this but I got nothing. An image is an image. Whether it's good or bad is a matter of personal preference.
I’m not so sure about that.. if you train an ai on images with disfigured anatomy which it thinks is the “right” way it will generate new images with messed up anatomy. It gives a feedback loop, like when a mic picks up its own signal.
Well, you wouldn't train on images that you consider bad, or rather you'd use them as examples for what not to do.
Yes, you have to be careful when training a model on its own output. It already has a tendency to produce that, so it's easy to "overshoot", so to say. But it's not a problem in principle. It's also not what's happening here. Adobe doesn't use the same model as Midjourney.
Midjourney doesn't generate disfigured anatomy. You're think of Stable Diffusion which is a smaller model that can generate an image in 30 seconds on my laptop GPU. Even SD is pretty good at avoiding that, with decent hardware and larger models (that need more memory).