sexual situations

physical violence

disturbing

male nudity

hanging

hate symbols

nazi party

revealing clothes

weapon violence

female swimwear or underwear

male swimwear or underwear

partial nudity

white supremacy

adult toys

graphic male nudity

illustrated explicit nudity

nudity

graphic violence or gore

graphic female nudity

pg-13

corpses

wide hips

convenient censoring

peeing

oral invitation

emaciated bodies

exposed female nipple

blowjob

female nudity

sexual activity

sexual intent

undressed

male underwear

female swimwear

genitals

female underwear

thick thighs

breasts out

strapless leotard

vore

breast out

one breast out

huge breasts

gigantic breasts

huge butt

covered nipples

hair over breasts

no panties

sitting on face

anal

dildo riding

downblouse

oral

porn

futanari

hentai

nude

lingerie

sexy

nsfw

suggestive

child on child

self injury

extremist

hate speech

diapers

urine

incest

scat

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

pov fellatio

I noticed a general lack of general anime cel shading style models (outside of v-tuber specific ones) so I decided to train one. It was trained on images generated using 3D modeling software with a cel shader on a variety of subjects, but primarily humans. It seems to be pretty general in what it can generate while still maintaining the style. Check each version's release notes for more info on what it is capable of and what issues it may have.

Flux version of the model trained at 1024 res on civitai's training service on the same data set as prior versions (30 images). Seems to work equally well with sentence prompts and tag prompts. The only tag you need to trigger the style is "cel_shading".

FLUX

SDXL version trained on the same dataset as the pony version using civitai's training service. This version is slightly less anime-esque due to lower training epochs, however it still consistently produces a cel shading style on the variety of SDXL models I have tested it on. I recommend a strength of around 1.0. The trigger word is simply "cel shading", and if you want a more consistent anime style, you can also use "anime".

SDXL 3 Epochs

Pony XL version of the model trained using Civitai's training service for 7 epochs on 30 images. I tested it on a variety of pony checkpoints and it seems to produce results best on more 2d checkpoints, but you can get it to work on photorealistic pony checkpoints with the right amount of negative keywords. Seems to work best at a strength of 1, you can tweak it if you have difficulty getting the style to work properly or think its influencing your subject too much. The trigger for the style is simply "cel shading".

PonyXL

Stable Diffusion 1.5 version trained on around 30 images of various subjects on Kohaya SS at 512 resolution. The trigger for the style is just "cel shading", and I trained it on booru style captions, so those should work best to describe the subject. It seems to work in a strenght of around 0.7 to 1.0, with 0.85 seeming to produce the style consistently while anything over 0.9 might start to impact the subject.

Stable Diffusion 1.5

Cel Shading Style (CGI Anime)

Type	LoRA
Stats	91 43 5
Reviews	Positive (9)
Published	Nov 2, 2024
Base Model	SD 1.5
Training	Steps: 6,000 Epochs: 10
Usage Tips	Clip Skip: 2 Strength: 0.8
Trigger Words	cel shading
Hash	AutoV2 44ADCBD90B