I don't think the FSF will ever approve of a license that excludes training, since it goes against the zeroth freedom: "the freedom to use the program {or assets, in this case} for any purpose". Heck, the official opinion of Creative Commons is that training generative models on copyrighted material is likely to be fair use.
Either way, most currently available licenses require credit, which no mainstream image generator gives, so the point's kind of moot. The best one could do, in my opinion, is put up a tiny barrier that would discourage most scrapers, e.g. uploading as a .zip file (perhaps with a simple password). Unless the concern is individuals copying the style, which... hmm, I'm not sure if any sequence of words would discourage them.
Looking forward to when/if there is a fully openly-trained model some day.
There's one in the works called Public Diffusion. Much of the data is taken from Wikimedia Commons, so it does have some problematic images dotted about, whether due to quirks of the site (cosplay of copyrighted characters is allowed for some reason), differences in copyright terms across countries, or just blatant copyright infringement that didn't get caught. They also use a scrape-trained language model for captioning and another for interpreting the captions, which may or may not matter copyright-wise.
(Another project, Elan Mitsua, is stricter on both counts, but the terms of use are likely too strict for OGA (and aside from public-domain images, it's also trained on works submitted specifically for training). It's also not quite there in terms of quality for those who want to generate ready-to-use assets, but it can serve as inspiration, if nothing else.
I don't think the FSF will ever approve of a license that excludes training, since it goes against the zeroth freedom: "the freedom to use the program {or assets, in this case} for any purpose". Heck, the official opinion of Creative Commons is that training generative models on copyrighted material is likely to be fair use.
Either way, most currently available licenses require credit, which no mainstream image generator gives, so the point's kind of moot. The best one could do, in my opinion, is put up a tiny barrier that would discourage most scrapers, e.g. uploading as a .zip file (perhaps with a simple password). Unless the concern is individuals copying the style, which... hmm, I'm not sure if any sequence of words would discourage them.
There's one in the works called Public Diffusion. Much of the data is taken from Wikimedia Commons, so it does have some problematic images dotted about, whether due to quirks of the site (cosplay of copyrighted characters is allowed for some reason), differences in copyright terms across countries, or just blatant copyright infringement that didn't get caught. They also use a scrape-trained language model for captioning and another for interpreting the captions, which may or may not matter copyright-wise.
(Another project, Elan Mitsua, is stricter on both counts, but the terms of use are likely too strict for OGA (and aside from public-domain images, it's also trained on works submitted specifically for training). It's also not quite there in terms of quality for those who want to generate ready-to-use assets, but it can serve as inspiration, if nothing else.
here's a text-to-speech engine with a bunch of voices under various cc licenses, some foss-compatible: https://github.com/rhasspy/piper
(though most of them were trained by starting from the model for "lessac", which has a restrictive research license; idk how much that matters though)
and here's an asset pack made with it: https://rancidbacon.itch.io/dialogue-tool-for-larynx-text-to-speech