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.'});What To Consider When Choosing a Provider
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.
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.
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.
FAQ
FLUX.2 pairs a rectified-flow transformer with a Mistral-3 24B vision-language model (VLM) for text conditioning. This replaces the T5/CLIP conditioning used in FLUX.1. The VLM enables richer semantic understanding of complex prompts and reference images.
Submit up to 10 images alongside your text prompt. The model synthesizes a new image that incorporates elements (style, color, composition, subjects) from the references according to your prompt instructions.
The model can reproduce specific color values from reference images or color samples with high fidelity. For brand asset workflows where output must match a defined palette, this reduces or eliminates post-production color correction.
Both are FLUX.2-generation models. FLUX.2 [pro] is the production-tier release. FLUX.2 Max targets the quality ceiling with additional fidelity and typography improvements for the most demanding commercial work.
Up to 4 megapixels. Specific dimension combinations depend on the provider. Refer to available providers for available aspect ratios and resolutions.
This page lists the current rates. Multiple providers can serve FLUX.2 [pro], so AI Gateway surfaces live pricing rather than a single fixed figure.
Use the identifier bfl/flux-2-pro with generateImage from the AI SDK. Submit text prompts and optional reference images. AI Gateway routes the request to available providers automatically.
