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FLUX.2 builds on BFL’s previous FLUX.1 architecture — but significantly improves consistency, realism, and control. The new model supports up to 10 reference images at once, helping maintain consistent characters, layout, and style across outputs.
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FLUX.2 delivers production-grade, 4-megapixel (4 MP) photorealistic output — suitable for high-quality image generation and editing tasks.
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It also improves prompt following, multi-part instructions, lighting, spatial logic, and real-world realism, reducing common generation failures.
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BFL offers several variants of FLUX.2 to suit different needs:
- FLUX.2 [Pro] – highest-performance closed model, optimized for speed and visual fidelity.
- FLUX.2 [Flex] – allows fine-tuning of sampling steps & guidance scale, giving developers creative control over speed vs. detail.
- FLUX.2 [Dev] – an open-weight 32-billion-parameter model combining text-to-image generation and image editing with multi-image reference support.
- There’s also a FLUX.2 [Klein] (size-distilled) variant coming soon under an open-source license.
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From a pricing/performance standpoint, FLUX.2 — especially the Pro version — is potentially much cheaper per image generation than Nano Banana Pro, especially for high-resolution or multi-image workflows.
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Overall, FLUX.2 is positioned not just as an experimental model, but as a production-ready, flexible, high-quality tool for commercial creative workflows — including product visualization, marketing assets, UI/mockup generation, concept art, and more.