FLUX.2-klein-9B is a 9 billion parameter rectified flow transformer model designed for high-speed image generation and editing. It unifies text-to-image generation and multi-reference image editing into a single compact architecture, achieving state-of-the-art quality with end-to-end inference in under half a second. The model leverages an 8 billion parameter Qwen3 text embedder and is step-distilled to 4 inference steps, enabling real-time performance while matching or exceeding the quality of models five times its size.
Key Features:
Limitations:
The model is a component of the image generation pipeline, consisting of:
Total: ~17B parameters
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There are no configurations for this model, context and quantization yet.
There are no configurations for this model, context and quantization yet.
There are no configurations for this model, context and quantization yet.
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