The FLUX.2 [klein] model family are our fastest image models to date. FLUX.2 [klein] unifies generation and editing in a single compact architecture, delivering state-of-the-art quality with end-to-end inference in as low as under a second. Built for applications that require real-time image generation without sacrificing quality.Originally Posted;<ul><li><a target="_blank" rel="ugc" href="https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-kv">https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-kv</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/black-forest-labs/FLUX.2-klein-9B">https://huggingface.co/black-forest-labs/FLUX.2-klein-9B</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B">https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/black-forest-labs/FLUX.2-klein-4B">https://huggingface.co/black-forest-labs/FLUX.2-klein-4B</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/black-forest-labs/FLUX.2-klein-base-4B">https://huggingface.co/black-forest-labs/FLUX.2-klein-base-4B</a></li></ul>

Flux.2 Klein

<code>9B-KV</code> is an optimized variant of FLUX.2 [klein] 9B with KV-cache support for accelerated multi-reference editing

flux2Klein_9bKv.safetensors

9B Kv

4B-Base

9B-Base

FLUX.2 [klein] 9B KV is a variant of the klein 9B model optimized for fast image editing. It uses KV caching to avoid redundantly recomputing attention over reference image tokens at every denoising step, providing significant speedups when working with reference images.Please note that this model is the property of Black Forests. It is mainly included to demonstrate the advantages of using KV cache, which speeds up image generation, as described in the paper:<a target="_blank" rel="ugc" href="https://github.com/black-forest-labs/flux2/blob/main/docs/flux2_klein_kv_cache.md">https://github.com/black-forest-labs/flux2/blob/main/docs/flux2_klein_kv_cache.md</a>

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