Verified claim · AI-ML · 95% confidence
Black Forest Labs Flux.1 Kontext publicly released on: 2025-05-29 by Black Forest Labs — image generation with in-context editing (text + image input).
Last verified 2026-05-16 · Methodology veritas-v0.1 · 288c8e0043942285
Structured fields
- Subject
- Black Forest Labs Flux.1 Kontext
- Predicate
publicly_released_on- Object
- 2025-05-29 by Black Forest Labs — image generation with in-context editing (text + image input)
- Confidence
- 95%
- Tags
- flux-kontext · black-forest-labs · image-editing · multimodal · released_on · 2025
Sources (2)
[1] official blog · Black Forest Labs · 2025-05-29
Announcing FLUX.1 Kontext“FLUX.1 Kontext is our new family of in-context image generation models that can edit and generate images based on both text and image inputs.”
[2] model card · Black Forest Labs / Hugging Face · 2025-05-29
FLUX.1-Kontext-dev on Hugging Face
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Black Forest Labs Flux.1 Kontext publicly released on: 2025-05-29 by Black Forest Labs — image generation with in-context editing (text + image input). — SourceScore Claim 288c8e0043942285 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/288c8e0043942285.jsonEmbed this claim
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Frequently asked questions
Is the claim "Black Forest Labs Flux.1 Kontext publicly released on: 2025-05-29 by Black Forest Labs — image generation with in-context editing (text + image input)." verified?
Yes — SourceScore verified this claim with 95% confidence as of 2026-05-16. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
What is the evidence for "Black Forest Labs Flux.1 Kontext publicly released on: 2025-05-29 by Black Forest Labs — image generation with in-context editing (text + image input)."?
Evidence comes from 2 primary sources: Black Forest Labs, Black Forest Labs / Hugging Face. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/288c8e0043942285.json includes an HMAC-SHA256 signature for audit verification.
When was this claim last verified by SourceScore?
Last verified 2026-05-16 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.
How can I cite this SourceScore claim in my code or article?
Fetch the signed JSON envelope from https://sourcescore.org/api/v1/claims/288c8e0043942285.json which includes the verbatim claim, primary sources, confidence, methodology version, last-verified date, and HMAC-SHA256 signature for audit. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.
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cURL
curl https://sourcescore.org/api/v1/claims/288c8e0043942285.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/288c8e0043942285.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Black Forest Labs Flux.1 Kontext publicly released on: 2025-05-29 by Black Forest Labs — image generation with in-context editing (text + image input)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/288c8e0043942285.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Black Forest Labs Flux.1 Kontext publicly released on: 2025-05-29 by Black Forest Labs — image generation with in-context editing (text + image input)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_black_forest_labs_flux_1_kontext_fact() -> dict:
"""Fetch the verified SourceScore claim for Black Forest Labs Flux.1 Kontext."""
r = httpx.get("https://sourcescore.org/api/v1/claims/288c8e0043942285.json")
return r.json()