intital release
trained with more concept with experimental parameters.
This LoRA is for studying LoRA training with new technique so do not use for damaging or any harmful the character and original creator.
gura1st, two side up, blue eyes, blunt bangs, multicolored hair, grey hair, blue hair, streaked hair, blue hoodie, shark hair ornament, fins, shark tail, long sleeveswith hood :
shark hood, hood, blue hoodieswith cat ears :
cat earssometime it's random appear if you dont want put it in negative prompt
guracasual, cat ears, blue eyes, multicolored hair, blue hair, grey hair, streaked hair, cube hair ornament, side ponytail, blue dress, white shirt, shoulder bag, sleeveless, shark tailguraparty, shark tail, blue eyes, multicolored hair, blue hair, grey hair, streaked hair, hair ornament, gradient dress, collarbone, jewelry, twintails, blue nails, jewel under eyes, gradient clothessome color might be inaccurate
guranewyear, two side up, multicolored hair, streaked hair, blue hair, grey hair, blue eyes, blue kimono, hair ornament, shark tail, detatched sleeves, fur collar, earmuffs, ahoge, tail ornamentsome color might be inaccurate
guraschool, one side up, multicolored hair, streaked hair, blue hair, grey hair, blue eyes, shark tail, yellow vest, blue skirt, blue necktile, bandaid on leg, hair ornamentwith jacket :
guraschool, one side up, multicolored hair, streaked hair, blue hair, grey hair, blue eyes, shark tail, blue jacket, blue skirt, blue necktile, bandaid on leg, hair ornamentgawrgura, blue eyes, blue hair, grey hair, multicolored hair, alternate costumeand add anything prompt
open mouth, sharp teethIf you want her open mouth and upper teeth.
guranewyear and guraparty full body might be not effective.
some costume details is not accurate
resize dimension to dynamic (max 8) with dynamic alpha
dataset
debut outfit (no cat ears) : 50 images
debut outfit (cat ears) : 15 images
casual : 25 images
new year : 15 images
party dress : 25 images
school uniform (without jacket) : 10 images
school uniform (with jacket) : 6 images
parameters
resolution = 102>
batch size = 2
dim,alpha = 16,16 (for training)
mix/save precision = bf16/bf16 -> resize to fp16
optmizer = AdEMAMix
UNet LR = 2e->
TE LR = 1e->
scheduler = inverse_sqrt with warmup 100 steps
l2 loss only
steps
epochs = 10
total steps = 6500
repeat = 3,10,6,10,10,15,25
tools
kohya-ss GUI v24.2.0
torch 2.5.0 cu12>
RTX 3060 12 GB + xformers + gradient_checkpointing
weight
UNet weight average strength = 0.01693913135115065
Text Encoder (1) weight average strength Clip_L = 0.011991257262133617
Text Encoder (2) weight average strength Clip_G = 0.0118015129444758
intital release
1. Dieses Modell dient nur Lernzwecken. Urheber- und Auslegungsrechte liegen beim Originalautor.
2. Bist du der Originalautor eines Modells, kontaktiere uns bitte zur Authentifizierung über unsere offiziellen Kanäle. Wir schützen die Rechte aller Schöpfer. Hier klicken, um es zu verifizieren.
