physical violence

weapon violence

wide hips

revealing clothes

thick thighs

downblouse

convenient censoring

huge breasts

pg-13

corpses

suggestive

oral invitation

pg13

sexy

sexual situations

male nudity

disturbing

male swimwear or underwear

female swimwear or underwear

partial nudity

undressed

female nudity

breasts out

exposed female nipple

breast out

lingerie

male underwear

hair over breasts

female swimwear

gigantic breasts

no panties

graphic violence or gore

covered nipples

huge butt

strapless leotard

sitting on face

emaciated bodies

one breast out

nsfw

female underwear

nude

graphic male nudity

adult toys

illustrated explicit nudity

nudity

graphic female nudity

hentai

futanari

porn

sexual intent

genitals

peeing

vore

oral

sexual activity

anal

blowjob

dildo riding

incest

hanging

hate symbols

nazi party

white supremacy

diapers

scat

self injury

hate speech

urine

extremist

child on child

latex clothing

swimwear

bukkake

fellatio

cumshot

implied fellatio

eat_cum

cumdrip

cum in pussy

cum on face

after fellatio

cum on hair

cum on body

cum on tongue

cum on hands

cum in mouth

triple fellatio

autofellatio

fucked silly

cum on pussy

Liselotte Cretia from Seirei Gensouki aka Spirit Chronicles. Liselotte finally appeared in mature form in anime S2, so there is a lot of new material for training now.<hr />Versions before v3-screencaps-illu:Liselotte Cretia from Seirei Gensouki trained on mostly official light novel art.Trained it from scratch using new settings and manually processed some images in the dataset. Especially hair should be much more consistent now compared to previous versions.

Same as v5-mixed-noobv-adaf but trained on top of noobai vpred1.0.

v5-mixed-noobv-adaf

Added some images from last anime episodes to dataset.Very different training parameters.

v5-mixed-illu-adaf

Trained on anime screencaps, light novel illustrations and generated nudes.

mixed-illu-came

Trained on illustrious using only anime screencaps.

v3-screencaps-illu-came

Fixed hair bow captions in dataset (white hair bow -&gt; white bow, hair bow) as NAI with clip skip 2 doesn't seem to understand that white hair bow is white bow rather than white hair, it was spoiling previous version. Actually noticed it before previous release with red bow but forgot to change captions with white bow as well.Also, changed LR scheduler in training settings from constant to cosine. (with prodigy optimizer)It's more accurate with 7 epochs compared to 8 epochs in previous version.

v2.1

v2.0

LoCon trained with the same image set and number of steps as LoRA. Superior with both quality and fidelity from what I can see in generated images. If hands are bad, easynagative embedding with value &gt;1 can help a lot without decreasing quality. I recommend 0.6-0.7 weight.

LiselotteCretia_LoCon_48epochs

Still behaves well after twice as much epochs. Far inferior to LoCon model, use that one instead if you can. (Going to upload it in a few hours after this one)

LiselotteCretia_LoRA_48epochs

Previous LoRA trained 12 epochs further with the same settings, still behaves well with high weigh

LiselotteCretia_LoRA_24epochs

This version is trained without pruning captions, so it needs a lot of trigger words to create Liselotte consistently. It tends to work less consistent without <code>hair bow</code> in particular. Trained with NAI (12 epochs x 18 images x 15 steps), examples generated with AOM3a1. All examples used openpose contronets and upscaled with multidiffusion plugin.

LiselotteCretia_LoRA_12epochs

Liselotte Cretia (Seirei Gensouki)

comfy_test__18582_.png