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

convenient censoring

emaciated bodies

incest

graphic violence or gore

wide hips

peeing

oral invitation

blowjob

female nudity

self injury

extremist

hate speech

diapers

urine

scat

graphic female nudity

pg-13

corpses

exposed female nipple

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

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

A commission of @augdiana2.<a rel="ugc" href="https://www.instagram.com/chloelockleyy/?theme=dark&amp;img_index=1">Chloe Lockley</a> is a British/Italian model, Twitch streamer and social media influencer. She was a finalist on the 11th edition of Britain's Next Top Model.This is a 135-step TI trained on a dataset of 15 images with <a target="_blank" rel="ugc" href="https://imgur.com/a/d348H3k">these settings</a>.Curious about my work process? I have summarized it <a target="_blank" rel="ugc" href="https://civitai.com/models/56570/renata-valliulina?commentId=118383&amp;modal=commentThread">here</a>.Do you have a specific idea for a TI in mind?<a target="_blank" rel="ugc" href="https://www.buymeacoffee.com/jernaugurgeh"> Visit my website </a>and let me know.<h2 id="heading-386">Building a good prompt with my TIs</h2>You're obviously free to experiment, but bear in mind that my TIs are trained with a more or less fixed phrasing, that normally starts with:"photo of EMBEDDING_NAME, a woman"So I recommend always starting your prompt like that and then building the rest of the prompt from there. For instance, "photo of beautiful (chlo3lockl3y-135:0.99), a woman with beautiful hair, as a movie star in a (movie premiere), premiere gala, (near a movie theatre), natural skin texture, (sexy tight {red|yellow|blue|green|black|turquoise} mesh strapless dress), 24mm, 4k textures, soft cinematic light, adobe lightroom, photolab, hdr, intricate, elegant, highly detailed, sharp focus, ((((cinematic look)))), soothing tones, insane details, intricate details, hyperdetailed, low contrast, soft cinematic light, exposure blend, hdr, faded, (paparazzi in background), (painted lips:1.1), ((looking at viewer:1.1))"

This is a 135-step TI trained on a dataset of 15 images with <a target="_blank" rel="ugc" href="https://imgur.com/a/d348H3k">these settings</a>.

v1.0

Chloe Lockley

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