V1 First Version, trained on around 1200 images for 11300k steps with batch 4
The number behind the prompt represents how many images had for example the prompt short_hair:0.781, this means the prompt was used in 78% of the images.
I think that metric gives you an idea which prompts trigger a hard reaction.
(breasts:1.0), (brown hair:0.881), (large breasts:0.843), (1girl:0.842), (1boy:0.785), (short hair:0.781), (glasses:0.77), (jewelry:0.655), (shirt:0.626), (indoors:0.591), (black hair:0.573), (blonde hair:0.498), (cleavage:0.442), (realistic:0.38), (long hair:0.372), (blue eyes:0.366), (pants:0.347), (looking at another:0.347), (earrings:0.344), (sitting:0.333), (necklace:0.332), (multiple girls:0.314), (bracelet:0.312), (navel:0.289), (facial hair:0.288), (multiple boys:0.278), (underwear:0.247), (couch:0.245), (red shirt:0.241), (solo:0.233), (2girls:0.229), (tattoo:0.222), (hetero:0.22), (dress:0.212), (twintails:0.211), (choker:0.208), (2boys:0.208), (makeup:0.196), (table:0.195), (nipples:0.187), (male focus:0.184), (red hair:0.18), (green eyes:0.173), (belt:0.171), (ponytail:0.171), (bra:0.166), (chair:0.165), (vest:0.163), (mole:0.16), (midriff:0.158), (black-framed eyewear:0.154), (wristwatch:0.146), (nude:0.145), (watch:0.144), (arm tattoo:0.14), (cup:0.13), (crop top:0.125), (panties:0.12), (black pants:0.118), (white shirt:0.116), (standing:0.113), (formal:0.112), (piercing:0.111), (looking at viewer:0.111), (denim:0.11), (holding:0.109), (mole on breast:0.109), (gloves:0.108), (upper body:0.108), (suit:0.108), (shorts:0.105), (jeans:0.105), (lips:0.103), (nail polish:0.101)
