[_tqr3]

Stability AI, creators of Stable Diffusion models release their products under own Stability AI Community License which is not "free" like MIT license. You are not allowed to modify the weights in certain ways.

This package is basically running the model (inference) and maybe fine tuning it using existing AI weights. A great way to learn but still could run into same licensing issue.

[refulgentis]

You can't finetune SD 3.5!?

I thought the community license stuff was about keeping people from using it in prod and charging for it without Stability getting at least a small taste.

This sucks.

I haven't been keeping up with gooner squad on Civit, but I did have some understanding SD was less popular, but I thought it was just because 3.5 came far too long after Flux with too little, if any, quality increase to be worth building new scaffolding for.

[fc417fc802]

> You can't finetune SD 3.5!?

They don't want you finetuning it in specific ways that might make them look bad by association.

[djhn]

So, out of interest, what are good TLDR sources for following the gooner scene? Like some highlights newsletter, subreddit, podcast, youtube channel or something? I’m interested in keeping up with their methods, not their results and output.

[refulgentis]

Apologies for late reply: sdnsfw and civit.ai. Thing with it is, it takes a lot of, uh, effort because you need to find the 1 in 100 that did something new and shared it. And sadly while, it did confer a leading edge in applied research, maybe as much as 6 months, (ex. Loras, model merging), it's just not as much as it used to be and the quality difference is also less than it used to be