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Ahem, as a degenerate myself I highly doubt it. Not until we get an ML model trained on a booru, "properly". The current stuff is just too uncanny to fap to.
I can't draw conclusions without knowing what kind of degenerate you are. If you're into hentai, the waifu diffusion model was trained on the 1.4 SD checkpoint && has much room for improvement. If you're a furry, fine-tuned models are currently a WIP and will be available soon. If you're a normal dude, I don't really understand because I honestly think it's good enough at this point.
The only thing I think is really poorly covered at the moment is obscure fetish content. A more complicated mixture of fine-tuning + textual inversion might be needed there, but I do truly believe the needs of >>50% of coomers are satisfiable by machines at this point.
Edit: I am less confident of my conclusion now.
I think it depends pretty heavily on what you're looking for. It's not too hard to get some moderately decent cheesecake or beefcake out of StableDiffusion1.4 even using prompts that don't aim for nudity or even a specifically gender. These aren't quite Hun-level, for a very (uh, mostly androphillic) good pin-up artist, but then again most furry artists aren't Hun-level. There are some problems here, but they're things like species or genital configurations that are probably outside of the training dataset or don't have a lot of variety in the training dataset. Which doesn't make that an easy problem -- it's quite possible the entire internet doesn't have sufficient training data for some things people want -- but it's at least an almost certainly solvable one.
Compositionality is harder, and relevant for more people. Scott's won a bet for some solutions for it, but a lot of people are going to be looking for something more than "two people having sex", or even "<color> <animal-person> screwing <color> <animal-person> in <orifice>". This is SFW (as much as a few Donald-Duck-esque animal-people can be), but I'm hard-pressed to summarize it in a short enough phrase for current engines to even tokenize it successfully into its attention span, and it's not like there's a shortage of (porn!) content from the same artist with similar or greater complexity.
And some stuff is really hard to write out for any non-human reader. Furfragged's probably an extreme case: the content isn't very complex to mimic (ie, mostly pretty vanilla, if exhibitionist, gay or straight sex), and the overarcing concept of 'orientation play' is a common enough kink that several big name gay sites focus on it (although straight4'pay' less so), but it's hard to actually develop a prompt that can even get the least-compositionality-dependent variants out. "Straight fox guy sucks a deer dude" is... not something that I'd expect to be coherent to AI. Well before that level of contradiction, even things like 'knot' and 'sheath' have a lot of space for confusion.
Beyond even that, it's not clear how the extant process will work for larger series pieces. There's a reason story-heavy pieces like those from Meesh, Nanoff, Braeburned, SigmaX, Ruiaidri, or Roanoak get a lot of attention, even if the story isn't anything exceptionally deep. It's not that tools like SD can't just write out a full comic or struggles with dialogue; just getting obviously samish-characters from several different perspectives is difficult, even with textual_inversion. And the attention limit remains a problem, and even if a solvable one is something that requires significant structural changes.
I think these programs will become useful tools for some artists in combination with their normal workflow, and some non-artists may use them for some simple pieces where these constraints don't show up, but there are some hard limitations that may not be as readily solved as just throwing more parameters or stronger language models in.
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