abbuibuibui/kaguya-Dataset

Kaguya Shinomiya (Kaguya-sama) — Illustrious SDXL Character LoRA Training Dataset

中文说明 | English (current)

This is the actual training subset used to train abbuibuibui/kaguya-Lora, an unofficial Kaguya Shinomiya character LoRA on waiIllustriousSDXL v17. The files here are a copy of the directory named in dataset.toml (image_dir = .../_扩充终选_待打标_20260908/四宫辉夜). Captions were not rewritten for this release. Latent caches, WD14 logs, and review sheets that sat in the same folder are not included.

This is a fan-made derivative, not an official product. Rights to the character and source work remain with Aka Akasaka / Shueisha.

Contents

Item	Count
Training images (images/*.png)	42
Matching captions (images/*.txt)	42
Missing same-name captions	0
Orphan captions	0
num_repeats	3

Filenames are unchanged (for example 5612.png / 5612.txt). Captions are comma-separated Danbooru-style tags with the identity and outfit triggers fixed first:

kaguya_shinomiya, kaguya_school_uniform, 1girl, solo, looking at viewer, blush, closed mouth, portrait

Outfit token	Images
kaguya_school_uniform	34
kaguya_casual	8
Total	42

• Identity trigger: kaguya_shinomiya (black hair, red eyes, long hair)
• Outfit tokens: kaguya_school_uniform (black dress, white collar, red ribbon) / kaguya_casual
• Training used shuffle_caption = true and keep_tokens = 2, so the first two tokens stay pinned.
• Tags were manually reviewed per image.
• images/metadata.jsonl maps all 42 filenames to those captions for the Dataset Viewer. A “server busy” state right after upload is Hub indexing, not a missing file.

Preview

These eight images are copies of real training stills, not model outputs. They cover the face, school uniform, outdoors, profile, sitting, casual, and night scenes.

Face	School smile	School outdoors

Profile	Sitting	Casual

Night moon	Night rooftop

How it was trained

• Base: waiIllustriousSDXL v17, 1024 buckets, bucket_no_upscale
• Network: LoRA rank 32 / alpha 16, UNet plus both text encoders
• Optimizer: AdamW8bit; bf16; SDPA; cosine schedule; 7 epochs, 882 steps
• 42 × repeats 3 = 126 optimizer steps per epoch
• The saved training log does not print the learning rate, so this card does not state one
• Recommended model from that run: E5 (kaguya_shinomiya-000005.safetensors) at strength 0.8

Related repositories

• Model: abbuibuibui/kaguya-Lora — E1–E7 weights, bilingual card, and the public epoch × strength evaluation.

License

• Character and source-work rights remain with © Aka Akasaka / Shueisha / the relevant production committees.
• Dataset files are released under CreativeML OpenRAIL-M.
• Intended for non-commercial fan LoRA training and research.
• Do not use this dataset for unlawful, deceptive, harassing, or exploitative purposes.