Dev generates 2,000+ images/day, building a 200K labeled fine-tuning dataset
SuperWallabies · reddit · 2026-08-24
A programmer with little ML background shares his pipeline on Reddit: generating 2,000+ images per day with Animagine XL 4.0 (opt) and hand-labeling quality.
- 5-tier rating scheme: Reject / Pass / Like / Very Good / Excellent
- Expected to exceed 200,000 labeled images by year end
- Images stored in a database alongside their exact prompts, structured into keyword categories: background, angle, character, clothes, facial expression, quality tags (e.g. masterpiece)
He asks the community whether such a dataset is valuable for fine-tuning or training — a useful reference for anyone building their own curated image-gen fine-tuning data.
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