But they conveniently leave out that it costs money to do anything with AI. It's more like "open to anyone with a credit card." The vast majority of people don't have computers powerful enough to run generative AI models locally, and even then, server farms with a billion GPUs will always produce better results

This means that people have to rely on corporate platforms where you buy tokens that you use to get pulls at the various AI slop slot machines, hoping you get something decent. The mechanics more closely resemble a gacha game than any kind of artistic process

By contrast, learning how to draw, animate or make 3D models costs nothing. There's free tutorials and tools everywhere, and you can also just pirate commercial ones if you want

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[–] sudo_halt@lemmygrad.ml 2 points 4 days ago (1 children)

Stable diffusion works and learns on a conceptual level. If an AI model even understands artist tags, bias was trained into the model with a LoRA.

You looked at other people's art when you learned to draw you thief? Hand over the pencil and come out with your hands on your head

[–] NuraShiny@hexbear.net 5 points 4 days ago (1 children)

So you are seriously saying that AI has the ability to understand concepts? Waow.

Please educate yourself and don't spout bullshit, thanks.

[–] sudo_halt@lemmygrad.ml 4 points 4 days ago* (last edited 4 days ago)

Not concepts as we humans operate on, but concepts in the feature extraction sense. You have a gross misunderstanding of how these models work.

Imagine it as how an image detection model learns how to detect images. It extracts features (that are vectors of data that are completely meaningless to humans). Image generation can be somewhat imagines as the inverse of a feature detector, it creates features from noise.

These models are not plagiarizing your work. You teach it the shape a dog is expected to have, and you teach it the color black. Without such thing existing in the training set, it can generate a black dog.

This is fundamental to stable diffusion otherwise it could never work at all.