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- One caption file per image
- Filenames aligned one-to-one
- No mixed identities or duplicate subjects
Dataset Creation
Curation Rationale
This dataset was curated to support:
- Stable character identity during LoRA training
- Reduced face and body drift
- Photorealistic text-to-image generation
Images were selected to balance:
- Facial angles (front-facing, ¾, side profile)
- Upper-body and full-body coverage
- Natural indoor and outdoor lighting
- Casual, realistic environments
Annotations
Annotation Process
Captions were written manually using a simple, factual style focused exclusively on visible attributes.
No automated labeling, aesthetic scoring, or third-party annotation tools were used.
Who are the annotators?
The dataset was annotated by its creator.
Captioning Style
Captions describe only observable traits and conditions, avoiding artistic, emotional, or stylistic language.
Example caption:
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