Kagura Nana, alt outfit (Virtual Youtuber)

Request for anon on /hdg/. Sorta rough, not much art for her and especially NSFW art.

Usage

Tags: 1girl, cat ears, tail, two side up, two-tone hair, blue eyes, small breasts

Outfit: sleeveless dress, off shoulder, jacket, choker, neck bell, striped bow, skirt

The original version of this was extremely overfit due to bad training data, and was highly resistant towards nudity because there was literally none of it in the dataset. I did some pruning, generated/found a couple of nude images, and cleaned up tags -- now her outfit is manually tagged and exclusively described using the tags above so it is generally more composable (ie. you can prompt for the jacket but negative prompt the sleeveless dress and it will work fairly reliably). I included skirt in images where the flared, ruffled bottom of her dress was visible even though it's not really a skirt but it may help with outfit composition.

It's still slightly overtrained so turning down the weights a bit (0.85 - 1) is recommended.

Three variations:

v1: the original, in the old folder. Not really recommended unless you want it to hyperfocus on her details and outfit at the cost of NSFW capability. Might be okay for mixing?
v3: new cleaned up dataset, somewhat overcooked
v4: same as v3 with reduced steps, except for the small number of NSFW images which were boosted

I did something different with this one and tagged the four lewd images in her dataset with nsfw. I can't really tell if it helped or hurt, but you may as well prompt for that if you want porn.

Training

All parameters are provided in the accompanying JSON files.

Trained on a set of 67 images initially provided by an /hdg/ anon, heavily curated and re-tagged.
- Dataset included a mixture of SFW and NSFW.
- Some NSFW images were outputs from v1 of the model. Does not appear to have caused down syndrome Nanas from model inbreeding.
Dataset was initially tagged with WD1.4 interrogator and then heavily pruned and manually cleaned up.
- kagura nana, virtual youtuber were added to the start of each caption. keep_tokens=2 was set to prevent shuffling those tokens.
- All ambiguities or alternate tags for her outfit were removed and replaced with the standard set above. Prompt for sleeveless dress not sleeveless shirt, and jacket not black jacket for the highest correlation.
Three variations with different training params, check the JSON files if you care.