| # 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. | |