Based on a 48 image dataset scraped from Danbooru and tagged with WD1.4 Tagger. Trained for 30 epochs (7200 steps), best with models and merges based on Anything v3.
Not particularly prone to NSFW, as the training dataset was somewhat balanced, but is capable of it.
Outfits tend to Ruby's default colors of red and black unless specified otherwise, especially all kinds of dresses.
I also recommend using Latent upscaler with medium (0.4-0.5) denoise, as it can fix some small inconsistencies like wrong eye color.
Description
Least prone to straying from the prompt (white dress stays white), however, may be slightly inaccurate when depicting Ruby. Best weights seem to be in the area of 0.6 to 0.7, and for best results I recommend adding in tags like "grey eyes, red hair, multicolored hair". Higher weights can sometimes lead to facial artifacts and/or weird anatomy.
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Details
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.