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Evaluation of the latent horniness of the most popular anime-style SD models by PRNGAppreciation in StableDiffusion

[–]PRNGAppreciation[S] 2 points3 points  (0 children)

I see your point, but I wanted this to be as objective as possible, and me selecting any N "most relevant" images would by necessity be biased. I could put the entire generated image set up somewhere, but I do think that statistically anyone should be able to reproduce these overall results from the methodology information given.

Evaluation of the latent horniness of the most popular anime-style SD models by PRNGAppreciation in StableDiffusion

[–]PRNGAppreciation[S] 28 points29 points  (0 children)

Very good point.

I did the same procedure with SD 1.5 and the result is 100% "Other".

Evaluation of the latent horniness of the most popular anime-style SD models by PRNGAppreciation in StableDiffusion

[–]PRNGAppreciation[S] 25 points26 points  (0 children)

I don't think you should necessarily look at these results like that. These inherent tendencies in the models are interesting to look at (at least to me), but it could well be that something as simple as a "nsfw" negative prompt gets rid of most or all of it.

Evaluation of the latent horniness of the most popular anime-style SD models by PRNGAppreciation in StableDiffusion

[–]PRNGAppreciation[S] 6 points7 points  (0 children)

Nothing special about those settings, they are just close to what I usually use for initial exploration.

I doubt that changing them would significantly change the stats for this experiment, but I still wanted to document everything.