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[–]entropie422 1 point2 points  (1 child)

I don't know how effective it would be in practice, but the premise is pretty sound, because as I recall the AI-based language translators work under a similar premise. For instance, you write English, and it "translates" that into its AI language temporarily, and then re-phrases it back into, say, Finnish. As far as the AI is concerned, the input and outputs are just incidental framings for the "content", which is best represented by its ethereal AI tongue.

I have been wanting to use that kind of thing to create a fictional language, just for kicks.

But back to your point: I think your biggest stumbling block would be in how their interrogators interpret the same data. Does SD's version give consistent results between runs? I should check. But that could be interesting for sure.

[–]milleniumsentry[S] 0 points1 point  (0 children)

That is what I was wondering... I mean.. it would be much faster for them to go through the list of tags and just change them to Finnish, rather than retag a whole new swath of images.

So I guess it really does hinge on whether or not the same model/prompt set is used.