Yuuki Sakuna (結城さくな) - Illustrious LoRA (2 Costume)

Disclaimer

• Do not use my LoRA to produce AI image and tagging her fanart hashtag in Twitter/X or if you have an enough contribution in that image then fine.

• NO REPOST IN ANY WEBSITE (PixAI, Tensor . Art, Seaart, ...) !!!!!!!!

Version 3 description

• New Dataset and captions

• 2nd costume is coming

• Completely change any costume

• Throw LoCon welcome UNet + CLIP-L (maybe future I will fork lycoris to support UNet + Conv + CLIP-L only)

• Completely use only her costume to cosplay by another character.

Trigger Word (V3)

• default costume

yuuki sakuna, yuuki sakuna \(1st costume\), 1girl, long hair, blush, animal ears, pink hair, , hair ornament, maid headdress, bow, maid, animal ear fluff, pink bow, puffy sleeves, apron, white dress, pink dress, blue ribbon, bowtie, collarbone, hairclip, hair bow, detached collar, white thighhighs, black footwear, shoes, black choker

• 2nd costume (maybe you can add some prompt for better output) some parts still missing due lack of dataset.

yuuki sakuna, yuuki sakuna \(2nd costume\), 1girl, cat ears, short hair, pink hair, hair ribbon, pink eyes, choker, dress, white dress, purple dress, hair ornament, hairclip, bandaid hair ornament, long sleeves, bow, frills, white apron, handbag, wings

• any costume

yuuki sakuna, 1girl, long hair, blush, cat ears, pink hair, , hair ornament, blue ribbon, hairclip, hair bow

• hairstyles (you can select ones)

long hair, two sides up
short hair
single braid

Limitations

• Second Costume outputs still not good enough.

Training Details (V3)

Network Module

• standard LoRA with clip-l only

Dataset

• 1st costume 313 images

• alternative costume 63 images

• 2nd costume (short hair) 17 images

• 2nd costume (single braid) 12 images

• special dataset for unlocking ability to change any costume 50 images

Parameters

• resolution = 102>

• batch size = 2

• dim,alpha = 16/16

• mix/save precision = bf16/bf16

• optmizer = CAME + weight_decay=0.01

• UNet LR = 3.2e-5

• TE LR = 1.6e-5

• scheduler = cosine_with_min_lr (down to 0.25 ratio)

• alpha mask

• block weights LR

• l2 loss

Steps

• epochs = 10

• total steps = 5580

• repeats = 1,5,10,14,>

Tools

• custom kohya-ss GUI

• torch 2.7.0 cu128 + xformers

• RTX 3060 12 GB

Average Weights

• UNet average weights = 0.00975080994381146

• TE1 average weights = 0.00814842106774449>

PREVIOUS VERSION

Version 2 description

• Big Improvement when changing costume (almost 99% can change into any costume except maid)

• New Dataset

• using Lycoris LoCon instead of LoRA

Version 1 description

• First Illustrious LoRA

• using Lion Scheduler

Trigger Word

• default costume

yuuki sakuna, long hair, blush, animal ears, pink hair, , hair ornament, maid headdress, bow, maid, animal ear fluff, pink bow, puffy sleeves, apron, white dress, pink dress, blue ribbon, bowtie, collarbone, hairclip, hair bow, detached collar, white thighhighs, black footwear, shoes, black choker

• remove black footwear, shoes, black choker, white thighhighs for half body

• any costume

yuuki sakuna, long hair, blush, cat ears, pink hair, , hair ornament, blue ribbon, hairclip, hair bow

Limitations

• nothing (if found please comment below.)

Training Details (V2)LoRA method

• Lycoris LoCon

Dataset

• 256 images

parameters

• resolution = 102>

• batch size = 2

• dim,alpha = 16,12

• ConvDim, ConvAlpha = 16,12

• mix/save precision = bf16/bf16

• optmizer = Lion + weight_decay=0.1

• UNet LR = 4e-5

• TE LR = 1e-5

• scheduler = cosine_with_min_lr

• l2 loss

steps

• epochs = 10

• total steps = 2560

• repeats = 2

tools

• kohya-ss GUI v24.3.0

• torch 2.5.0 cu12>

• Runpod RTX 4090 24 GB + xformers + gradient_checkpointing

weight

• UNet average weights : 0.009442168148234486

• TE1 average weights : 0.007911427761428058

• TE2 average weights : 0.0064397353562526405

This LoRA is for studying LoRA training with new technique so do not use for damaging the vtuber (also support her too).

REPOST model is not allow if you found this model please report to me.