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DATASET WORKBENCH
Illustrious style dataset builder
Local workspace
FROM RAW IMAGES TO TRAINING-READY FILES
Build a clean, consistent style set.
Cull hard, tag what is visible, and export matching captions without leaving your browser.
Artist / style trigger
Prepended to every exported caption.
STEP 01
Review the batch
Keep clear, varied images. Discard duplicates, low-resolution work, and pieces that do not represent the style.
Upload images
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Drop a batch here
PNG, JPG, WEBP, or GIF · keep originals at their working resolution
Keep all
Discard all
Clear batch
STEP 02
Tag what is actually there
Booru tags describe visible content. The natural caption adds useful context; it does not replace the tags.
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Keep tag vocabulary consistent across the set.
Tags ≠ styleUse tags for subject, pose, clothing, setting, lighting, and composition—not your style name.
Repeat sparinglyFor a small set, repeat a useful tag in roughly 1–3% of captions, not everywhere.
Consistency winsUse the same spelling and granularity. Remove near-duplicates before export.
STEP 03
Preview the training folder
The download contains one image and one matching .txt file per kept image.
Images0
Caption files0
Triggermy_style
TXT
Caption format
Trigger first, then comma-separated booru tags, then a natural-language caption.
my_style, 1girl, portrait, ...
Keep at least one image to preview an export.
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