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LatestBlack Forest Labs2 klein
Black Forest LabsText → Image

Black Forest Labs Releases Open-Source FLUX.2 Klein 4B

The new 4-billion-parameter model is a distilled version of the powerful FLUX.2 architecture, released under a commercially-friendly Apache 2.0 license.

Jan 14, 2026
Major releaseApache 2.0
FLUX.2 Klein 9B

Black Forest Labs has released FLUX.2 klein, a new 4-billion-parameter open-source model for text-to-image generation and editing. The model brings a more compact and accessible version of the company's powerful FLUX.2 architecture to the public.

The "klein" in its name, German for "small," signifies that this is a distilled model. Distillation is a process where a smaller model is trained to replicate the performance of a much larger one, resulting in a tool that is significantly faster and requires less computational power to run. This makes high-quality image generation feasible for developers and researchers without access to enterprise-grade hardware.

Open for Business

A key aspect of this release is its permissive Apache 2.0 license. Unlike models released with more restrictive terms, FLUX.2 klein can be freely used, modified, and integrated into commercial applications. This open approach encourages wider adoption and accelerates innovation by removing significant legal barriers for startups and independent creators.

By providing a potent combination of performance, efficiency, and an open license, Black Forest Labs is offering a valuable new building block for the creative AI ecosystem. The model weights and card are available now on the Hugging Face Hub.

Sources

  • black-forest-labs/FLUX.2-klein-4B

    Hugging Face

    Visit
OlderFLUX.2 Klein: A Compact 4B Open-Source Image ModelBlack Forest Labs · Text → Image · 10 months agoNewerSoprano TTS Model Leverages Qwen3 Architectureekwek · Text → Speech · 10 months ago

Get the model

Hugging Face

Specs

Parameters4B
Resolution1024×1024
Size7.8 GB
PrecisionBF16
ArchitectureFlux2KleinPipeline
LicenseAPACHE-2.0
Downloads169.5K
Likes1.8K

Can you run it?

Runs on a laptop — about 4.9 GB at FP8.

  • BF16 (as published)

    12 GB GPU (RTX 3060 / 4070) · 16 GB Mac

    8.8 GB
  • FP8

    8 GB GPU (RTX 4060) · 16 GB laptop or Mac

    4.9 GB
Your machine
  • Covers the published checkpoint; text encoders and VAE loaded alongside may add a few GB (many runtimes offload them to CPU).

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Image EditingText → Image
7 versions — view changelog

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