Flux.2 [pro]
Overview
Developed by Black Forest Labs, Flux.2 [pro] is a production-grade text-to-image and image-editing model built on a new latent flow architecture incorporating a custom vision-language model. It delivers high-resolution 4-megapixel photorealistic outputs alongside highly accurate typography and text rendering. The model is especially useful for commercial design workflows due to its advanced multi-reference capabilities, allowing creators to maintain strict character, style, and product consistency across multiple generations.
Flux.2 [pro] Image to Image
Image → Image (edit) generation.
Specifications
- Input mode
- Image → Image (edit)
- Pricing
- 4 credits / image — higher resolutions cost more
- Free tier
- No
Image → Image (edit) examples
Flux.2 [pro] Text to Image
Text → Image generation.
Specifications
- Input mode
- Text → Image
- Pricing
- 4 credits / image — higher resolutions cost more
- Free tier
- No
Text → Image examples
What is Flux.2 [pro] best used for?
Flux.2 [pro] is a production-grade model optimized for professional workflows, brand consistency, and editorial realism. It handles complex typography, precise HEX color matching, and reduces the synthetic AI look. The community relies on it for product visualization and character consistency, as it natively supports multi-reference compositing to lock in identity, lighting, and style across multiple shots.
Who created Flux.2 [pro] and what is its lineage?
Flux.2 [pro] was developed by Black Forest Labs and officially released on November 25, 2025. It serves as the 32-billion parameter flagship successor to earlier models like Flux 1.1 Pro and Flux 1.1 Ultra. The broader Flux.2 generation also includes siblings available in the catalog, such as the customizable [Flux.2 flex] and the highly efficient [Flux.2 klein] 9B.
How can I get the best results with Flux.2 [pro]?
Take advantage of the model's multi-reference system by uploading up to 10 reference images to lock in specific faces, products, or lighting setups simultaneously. For brand work, you can use exact HEX codes (like #FF5733) directly in your text prompts for precise color matching. The model also responds well to structured JSON-based prompting for complex, multi-element compositions.
Similar models
Prompt tips
- Use JSON for complex layouts: Format your prompt as a JSON object (e.g.,
{"scene": "...", "subjects": [...], "camera": {...}}) to enforce strict spatial hierarchies and precise object placements. - Front-load critical details: The model weighs earlier text more heavily. Define your core subject and primary action at the very beginning of the prompt.
- Inject exact hex codes: Specify colors using hex codes (e.g., "a dress in #8b2323") to guarantee strict brand compliance or exact gradients.
- Leverage photographic terminology: Describe the exact lens, aperture, and lighting setup (e.g., "50mm lens, f/2.8, Rembrandt lighting") to control the model's cinematic lighting engine.
