FLUX.2 [pro]
FLUX.2 [pro] is the FLUX.2 generation launch model. It pairs a rectified-flow transformer with a Mistral-3 24B vision-language model (VLM), introducing multi-reference image synthesis and exact color matching at up to 4 megapixels.
import { experimental_generateImage as generateImage } from 'ai';
const result = await generateImage({ model: 'bfl/flux-2-pro', prompt: 'A red balloon on a wooden table.'});Playground
Try out FLUX.2 [pro] by Black Forest Labs. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.
FLUX.2 [pro]
Your generated image will appear here
Providers
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About FLUX.2 [pro]
FLUX.2 [pro] is Black Forest Labs's FLUX.2 generation launch model, released on November 25, 2025. The FLUX.2 architecture departs from FLUX.1 by pairing a rectified-flow transformer with a Mistral-3 24B vision-language model (VLM) as the text conditioning component, retrained with a new VAE. The VLM handles semantic understanding of complex prompts and reference inputs. The flow transformer handles image synthesis. Together they enable FLUX.2's improved reference image handling.
The multi-reference capability accepts up to 10 input images to guide generation simultaneously. In practice, you can supply a product photo, a lighting reference, a composition reference, and a style example together. The model synthesizes all of them coherently into a new image. Exact color matching (producing output that hits specific hex values or matches reference palette samples) directly benefits brand asset production where color accuracy is non-negotiable.
At up to 4 megapixels output resolution, FLUX.2 [pro] is the entry point to the FLUX.2 generation for teams whose workflows need the multi-reference architecture. FLUX.2 Max extends the quality ceiling further. FLUX.2 [pro] is the generation baseline that introduced the paradigm.
What To Consider When Choosing a Provider
- Configuration: For commercial workflows using branded visual assets as references, confirm licensing terms with your provider for multi-reference generation use. Check N/A before you scale traffic.
- Zero Data Retention: AI Gateway does not currently support Zero Data Retention for this model. See the documentation for models that support ZDR.
- Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
When to Use FLUX.2 [pro]
Best for
- Multi-reference brand asset generation: Supplying product photos, brand color palettes, and composition references simultaneously produces on-brand imagery without manual post-production color correction
- Exact color matching workflows: Fashion, product photography, and graphic design pipelines where output must match specific color values benefit from the precise color fidelity
- High-resolution commercial production: At up to 4MP, output is suitable for print materials, large-format advertising, and other applications where pixel density matters
- FLUX.2 architecture adoption: Teams moving from FLUX.1 to the FLUX.2 generation use FLUX.2 [pro] as the baseline model, then evaluate FLUX.2 Max for the quality ceiling
Consider alternatives when
- Iterative multi-turn image editing is the workflow: FLUX Kontext Pro is purpose-built for sequential edits to the same image, a different paradigm from reference-guided generation
- Interactive or real-time generation is needed: FLUX.2 Klein is optimized for sub-second generation, a different performance tier
- The FLUX.1 workflow already works well: FLUX 1.1 Pro is the recommended production model for FLUX.1-generation pipelines and may not require an architectural upgrade
Conclusion
FLUX.2 [pro] is the FLUX.2 generation's foundation: multi-reference synthesis, exact color matching, and 4 MP resolution in the model that introduced Black Forest Labs's paired VLM architecture. For teams whose workflows need branded, color-accurate, multi-reference image generation, it's the starting point for the FLUX.2 generation.