GPAI Ledger The public record of EU AI Act training-data summaries

GPAI Ledger › FLUX.3 (Black Forest Labs) › Capture 2 Oct 2026

FLUX.3 — capture 20261002T112736Z

ProviderBlack Forest Labs
Targetprovider site — https://bfl.ai/transparency?tab=training-data-summaries
Fetched (UTC)2026-10-02T11:27:36Z
Stored fileddf0ef8b145b49398ccba3cb3ea32d2dc74ecd2a3c533fe6f4c26827698cecfe.html.txt (201,607 bytes) (served with a .txt suffix so the captured page cannot run scripts on this site; bytes are identical — the SHA-256 verifies against this file)
SHA-256ddf0ef8b145b49398ccba3cb3ea32d2dc74ecd2a3c533fe6f4c26827698cecfe
OpenTimestamps proofddf0ef8b145b49398ccba3cb3ea32d2dc74ecd2a3c533fe6f4c26827698cecfe.html.20261002T112736Z.ots (calendar-attested; anchored in bitcoin over time)
WaybackWayback snapshot, 2026-10-02 11:28 UTC (separate fetch of a rendered page — bytes differ from this capture)
Prior capture of this targete7664e90abca2bb9282ef2aee9fb1090ded6a7277add9ee853b73068d5efc22c (captured 2026-10-01T11:55:37Z)

Verify: sha256sum ddf0ef8b145b49398ccba3cb3ea32d2dc74ecd2a3c533fe6f4c26827698cecfe.html.txt must equal the hash above (the filename IS the expected hash); ots verify ddf0ef8b145b49398ccba3cb3ea32d2dc74ecd2a3c533fe6f4c26827698cecfe.html.20261002T112736Z.ots -f ddf0ef8b145b49398ccba3cb3ea32d2dc74ecd2a3c533fe6f4c26827698cecfe.html.txt (opentimestamps.org) proves the bytes existed no later than the attestation time — an upper bound on the capture time; the fetch time above is the archive's own record (a freshly captured proof reports 'pending' here: the calendars anchor within hours, but this archive only upgrades the stored proof to its anchor on a later run, so expect a day or two). ots verify needs a local Bitcoin Core node (a pruned one is fine); without one, ots info on the proof prints the attesting block height and merkle path to check on any block explorer.

Extracted text

Machine-extracted text (layout may be lost; the authoritative content is the stored file above).

Transparency Hub | Black Forest Labs
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Transparency Hub
Black Forest Labs publishes this page to provide regulatory information about how our models are developed, trained, and governed. It hosts our training data disclosure under California Civil Code Section 3111 (AB 2013), model documentation and training data summaries for our General-Purpose AI models pursuant to the EU AI Act. These disclosures are published and updated, in accordance with applicable law, as our models are released or substantially modified. For more on our approach to safety and responsible development, see our
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Last updated August 1, 2026
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Training Data Summaries for Black Forest Labs' General Purpose AI (GPAI) models, using the EU AI Office template pursuant to Article 53(1)(d) of the EU AI Act.
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FLUX 3
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FLUX 3
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August 1, 2026
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FLUX 3
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