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The consensus seems to be that the lack of open source SDXL anime fine tunes is simply due to laziness and lack of resources from the interested parties in the

The consensus seems to be that the lack of open source SDXL anime fine tunes is simply due to laziness and lack of resources from the interested parties in the community. Datasets like from the boorus are already floating around online to train on. Always funny to see that furries are ahead of weeaboos in the war for the best open source nsfw generator

Aeolun 3y ago
I think it’s more that SD 1.5 is already fine for most purposes (and much, much faster) Just don’t see any difference in results except them taking 4x longer.
- ttul 3y ago
  It’s an interesting example of a new technology that is inferior to the old one because the old one is superior in important ways (speed, ease of manipulation, and established toolsets).
GaggiX 3y ago
Well to be honest I don't really know what's the best furry SD XL model out there but recently this model has been released: https://huggingface.co/cagliostrolab/animagine-xl-3.0 https://huggingface.co/cagliostrolab/animagine-xl-3.0, it's probably far from the NovelAI checkpoint but I would be curious to know how it compares to the furry model you're talking about.
echelon 3y ago
> Always funny to see that furries are ahead of weeaboos in the war for the best open source nsfw generator That's hilarious. It'd be funny if they had a rivalry going and it resulted in better open source tooling.
numpad0 3y ago
I think that's just reflecting different levels of ethics standards - a bit like different stances on street graffiti
makomk 3y ago
Last I heard, everyone was struggling to fine tune SDXL on furry art too. The only community fine tunes that seem to have succeeded are ones aimed at taking things it was already designed to generate and trained on and making it actually good at those, or improving the aesthetics of its output.
- ben_w 3y ago
  That's mildly surprising, given how large and well tagged e621 in particular is. Though I assume most of the major furry art hosts are blocking scraping by this point, given how divisive GenAI is?
  - GaggiX 3y ago
    The dataset is not the problem, neither with anime or furry art, the problem is the computation required for a good finetuning.

Aeolun 3y ago

I think it’s more that SD 1.5 is already fine for most purposes (and much, much faster) Just don’t see any difference in results except them taking 4x longer.

ttul 3y ago
It’s an interesting example of a new technology that is inferior to the old one because the old one is superior in important ways (speed, ease of manipulation, and established toolsets).

GaggiX 3y ago

Well to be honest I don't really know what's the best furry SD XL model out there but recently this model has been released: https://huggingface.co/cagliostrolab/animagine-xl-3.0 https://huggingface.co/cagliostrolab/animagine-xl-3.0, it's probably far from the NovelAI checkpoint but I would be curious to know how it compares to the furry model you're talking about.

echelon 3y ago

> Always funny to see that furries are ahead of weeaboos in the war for the best open source nsfw generator That's hilarious. It'd be funny if they had a rivalry going and it resulted in better open source tooling.

numpad0 3y ago

I think that's just reflecting different levels of ethics standards - a bit like different stances on street graffiti

makomk 3y ago

Last I heard, everyone was struggling to fine tune SDXL on furry art too. The only community fine tunes that seem to have succeeded are ones aimed at taking things it was already designed to generate and trained on and making it actually good at those, or improving the aesthetics of its output.

ben_w 3y ago
That's mildly surprising, given how large and well tagged e621 in particular is. Though I assume most of the major furry art hosts are blocking scraping by this point, given how divisive GenAI is?
- GaggiX 3y ago
  The dataset is not the problem, neither with anime or furry art, the problem is the computation required for a good finetuning.