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lucida

egeorcun

Lucida is a BiRefNet-based background-removal / image-matting model fine-tuned to excel where most open models fail: **camouflaged objects, transparent materials (glass), text & logos, VFX glows, and illustrations** — while staying competitive everywhere else. On our 203-image, 9-category benchmark (MAE, lower is better) Lucida leads every model we tested — including a commercial reference — in **camouflage (0.0270)** and **illustration (0.0092)**, beats the commercial reference in **text/logo preservation (0.0091 vs 0.0123)** and in **print-design/sticker art (0.0235 — 2x better than every model measured)**, and sets our best-ever **transparency-in-mixed-objects** handling and **overall (0.0257)** score — ahead of every model we measured, specialist or commercial, on the 203-image average. Full benchmark, gallery and training recipe: **https://github.com/egeorcun/lucida** — or try the live demo. > **Changelog note (2026-07-24):** an experimental v13 build was published for a day and then > reverted — community testing showed it regressed on real-world layered artwork > (poster/collage-style illustrations) that our synthetic design test set does not cover. > The current weights are the proven v7. The v13 improvements (reduced background haze on > real photos, a transparency milestone) will return in v14 together with the fix.

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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lucida

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