NaturalBeauty FLUX
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About this version
Model description
Now also available as a LoRA, with more images and training tweaks: /model/1031648?modelVersionId=1157036
NaturalBeauty FLUX v0.1 is a photorealistic FLUX.1 [dev] base model for creating full-body nude and topless images of beautiful women. NaturalBeauty enables FLUX to reliably generate naked and semi-naked photos in four common full-body glamor poses.
To encourage nudity, add
nakedortoplessto your prompt.To unlock the four body poses, add one of:
standing, wide stancestanding, feet togetherkneelingsquatting
This initial version of NaturalBeauty for FLUX is the result of a year-long project to tag nearly 11k images from a database of 1m candidates, using a diverse and flexible dataset with full tagging of background imagery. No merges; just images and hand-tuned training.
Tagging
NaturalBeauty FLUX performs best with a prompt that follows this format:
{a caucasian|a black|an asian|a latina} woman,
{standing, wide stance|standing, feet together|kneeling|squatting},
{naked|topless},
{barefoot|high heels},
{short|medium length|long|very long}
{braided|braids|crimped|curly|ponytail|straight|wavy}
{black|dark brown|medium brown|light brown|brown with blond highlights|chestnut brown|auburn|colored red|bright red|orange red|orange|red|strawberry blond|light blond|medium blond|bleached blond|platinum blond} hair,
{neutral expression|slight smile|full smile},
mouth {closed|slightly open|open},
eyes {closed|open},
looking at camera,
{tiny|small|medium|large|huge|massive} {fake|natural} breasts,
{arms by side|arms folded in front of body|hands behind head|hands by shoulders|hands holding breasts|hands on thighs|hands on hips}
For example:
a caucasian woman, standing, wide stance, long wavy medium blond hair, slight smile, mouth closed, eyes open, looking at camera, small breasts, hands behind head
NaturalBeauty FLUX is optimized to produce good results without needing a negative prompt.
Recommended generation settings
NaturalBeauty FLUX is trained to generate full-body portrait images with a size of 832x1216 pixels. Other 3:2 aspect ratio sides should also work well.
Training settings
10,937 hand-tagged images
batch size 20
10 epochs
constant learning rate of 1e-5
1x H100
kohya-ss scripts
no merging :)




















