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

CGDCTreminder: newer versions doesnt mean better model

model_a = sd_mecha.model("ILYXv23.safetensors", "sdxl")model_b = sd_mecha.model("imReleasingThisModelToShowOffTheAcrylicBricksMy_jrucrazy.safetensors", "sdxl")recipe = sd_mecha.dropout(model_a, model_b, probability=0.5, alpha=0.5, seed=0) output="ILYXv33" then i merged my own lora with it to create v34

Attempted a more stable version of v23

lora mergesolipsist.safetensors:0.5,granblue-noob.safetensors:0.25,Diathorn_Illustrious V1.5.safetensors:0.5base: ILYXv22.safetensorsnew: ILYXv23.safetensors

models_and_weights = [    ("ILYXv15-new.safetensors", 0.3),    ("ILYXv10-new.safetensors", 0.3),    ("jruTheJourneyRemains_LightFormill01.safetensors", 0.2),    ("cineroILL_v1.safetensors", 0.2)]base_model = "ILYXv15-new.safetensors"

models_and_weights = [    ("ILYXv9-new.safetensors", 0.5),    ("cineroILL_v1.safetensors", 0.25),    ("originByN0utis_illustriousV2.safetensors", 0.25),]base_model = "ILYXv9-new.safetensors"

model_a = sd_mecha.model("ILYXv6.safetensors", "sdxl")model_b = sd_mecha.model("Illustrious-XL-v1.0.safetensors", "sdxl")recipe = sd_mecha.dropout(model_a, model_b, probability=0.65, alpha=0.5, seed=0)= ILYXv6+Illustrious-XL-v1-DROPOUTP0.65.safetensorsthen I did a weighted sum of 0.2 between ILYXv6+Illustrious-XL-v1-DROPOUTP0.65.safetensors and ilyxv1 :)which became v7

ILYXv1+illusoft_v03-ROTATEILYXv1+illusoft_v03-ROTATE+plantflax(DARE), probability=0.3

v1.0

ILYX (I love you xoxo)

Type	Checkpoint Merge
Stats	227 0
Reviews	Positive (27)
Published	Feb 16, 2025
Base Model	Illustrious
Hash	AutoV2 6BF7D6B0FA