Name: 2D to 3D Emoji
Rating: 5 (209 reviews)
Author: pixelpoint

thick thighs

sexual situations

physical violence

disturbing

male nudity

extremist

hanging

hate symbols

nazi party

breasts out

strapless leotard

revealing clothes

weapon violence

female swimwear or underwear

male swimwear or underwear

partial nudity

self injury

white supremacy

adult toys

graphic male nudity

illustrated explicit nudity

nudity

graphic violence or gore

graphic female nudity

vore

bestiality

corpses

breast out

one breast out

huge breasts

gigantic breasts

huge butt

wide hips

covered nipples

hair over breasts

no panties

sitting on face

convenient censoring

anal

dildo riding

downblouse

peeing

oral

oral invitation

emaciated bodies

exposed female nipple

blowjob

porn

futanari

hentai

nude

lingerie

nsfw

sexy

suggestive

female nudity

female swimwear

female underwear

male underwear

undressed

animated animal genitalia

genitals

sexual intent

sexual activity

bukkake

cumshot

cumdrip

cum in pussy

cum on face

cum on hair

cum on body

cum on tongue

cum on hands

cum in mouth

cum on pussy

eat_cum

fellatio

implied fellatio

after fellatio

triple fellatio

autofellatio

pov fellatio

fucked silly

presenting ass

presenting pussy

spreading legs

spread legs

swimwear

TRPCError

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	1,050
Reviews	Very Positive (162)
Published	Dec 15, 2022
Base Model	SD 1.5
Hash	AutoV2 BBEF02A4DA