Name: 2D to 3D Emoji
Rating: 5 (282 reviews)
Author: pixelpoint

sexual situations

physical violence

disturbing

male nudity

hanging

hate symbols

nazi party

graphic female nudity

convenient censoring

female nudity

suggestive

child on child

self injury

extremist

hate speech

diapers

urine

incest

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

pg-13

corpses

wide hips

peeing

emaciated bodies

blowjob

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

nsfw

sexy

revealing clothes

oral invitation

exposed female nipple

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

Originally posted to <a href="https://huggingface.co/pixel-point/stable-diffusion-microsoft-emoji" rel="ugc" target="_blank">HuggingFace by pixel-point</a> and <a href="https://www.reddit.com/r/StableDiffusion/comments/zmomeu/creating_a_stable_diffusion_dreambooth_2d_to_3d/" rel="ugc" target="_blank">shared on Reddit</a>Learn more about the creation process and how to use this on <a href="https://pixelpoint.io/blog/ms-fluent-emoji-style-fine-tune-on-stable-diffusion/" rel="ugc" target="_blank">Alexey's blog</a>

A dataset of 30 emojis. (trained on Google Colab based on the 4 GB original model sd-v1-4.ckpt) with a dataset of 30 images and 3000 training steps.

30img

The largest dataset with 850 emojis. I manually removed overly complex or simple images, as well as all people and faces, so that only objects and animals remained. The model was trained for two days (others were trained for 2-4 hours for comparison).

850img

2D to 3D Emoji

Type	Checkpoint Trained
Stats	1,162 463 15
Reviews	Very Positive (165)
Published	Dec 15, 2022
Base Model	SD 1.5
Hash	AutoV2 BBEF02A4DA