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> **Note:** This repository is an **archived mirror** and is **not** the original upstream source.
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> The original model, weights, and documentation are developed and maintained by **Black Forest Labs**.
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> The model weights hosted here are **unmodified**. Minor editorial changes may have been made to this README (e.g., formatting or clarification) and do **not** alter the model, its behavior, or its licensing.
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> The model is released under the **Apache License, Version 2.0**
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> A copy of the
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> **Cooperation Notice:**
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> *This repository does not claim any affiliation with or endorsement by Black Forest Labs.*
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The **FLUX.2 [klein]** model family represents Black Forest Labs’ fastest image models to date. FLUX.2 [klein] unifies image generation and editing within a single compact architecture, **delivering state-of-the-art quality with end-to-end inference in under one second**. It is designed for real-time and latency-critical applications and runs on consumer hardware with as little as **~13GB VRAM**.
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> **Note:** This repository is an **archived mirror** and is **not** the original upstream source.
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> The original model, weights, and documentation are developed and maintained by **Black Forest Labs**.
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> All hosted model weights are **unmodified**. Any README edits are purely editorial and do not affect the model, its behavior, or its licensing.
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> The model is released under the **Apache License, Version 2.0**.
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> A copy of the license is included in this repository.
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> **Cooperation Notice:**
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> The maintainer will cooperate in good faith with the original rights holder or upstream maintainers, consistent with the Apache License 2.0.
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> Requests may be submitted via **Discussions**.
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> *This repository is not affiliated with or endorsed by Black Forest Labs.*
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The **FLUX.2 [klein]** model family represents Black Forest Labs’ fastest image models to date. FLUX.2 [klein] unifies image generation and editing within a single compact architecture, **delivering state-of-the-art quality with end-to-end inference in under one second**. It is designed for real-time and latency-critical applications and runs on consumer hardware with as little as **~13GB VRAM**.
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