Blackforestlabs

FLUX.2 [pro]

FLUX.2 [pro] is a production-grade image generation model developed by Black Forest Labs, released in late 2025. It uses a rectified-flow transformer backbone paired with a Mistral-class vision-language model to handle both image generation and editing within a single unified architecture. The model supports a 32,000-token context window, enabling detailed, multi-part prompts with compositional and spatial constraints. Outputs can reach up to 4 megapixels, with fine detail in faces, hands, and textures suited for commercial use. A defining feature of FLUX.2 [pro] is its ability to accept up to 8–10 reference images simultaneously, maintaining consistent character, product, and style identity across generated scenes. It also supports hex color matching, reliable typography rendering, structured JSON prompts, and pose guidance, making it well-suited for brand-controlled workflows. Built-in C2PA cryptographic metadata provides content provenance, and layered safety filtering blocks IP-infringing and explicit content at inference time. The model is designed for use cases such as e-commerce product imagery, advertising campaigns, and any workflow requiring consistent visual identity across multiple assets.

Unknown 32K context N/A output
Multi-Reference Input High-Resolution Output Long Prompt Support Brand Color Control Reproducible Generation Content Provenance

Model Overview

High-signal model metadata in a structured two-column overview table.

Provider

The entity that provides this model.

Blackforestlabs

Input Context Window

The number of tokens supported by the input context window.

32K tokens

Maximum Output Tokens

The number of tokens that can be generated by the model in a single request.

N/A tokens

Open Source

Whether the model's code is available for public use.

No

Release Date

When the model was first released.

Unknown

Knowledge Cut-off Date

When the model's knowledge was last updated.

Unknown

API Providers

The providers that offer this model. This is not an exhaustive list.

Hugging Face

Modalities

Types of data this model can process.

Image Text

What is FLUX.2 [pro]

A fuller summary of positioning, capabilities, and source-specific details for FLUX.2 [pro].

FLUX.2 [pro] is a production-grade image generation model developed by Black Forest Labs, released in late 2025. It uses a rectified-flow transformer backbone paired with a Mistral-class vision-language model to handle both image generation and editing within a single unified architecture. The model supports a 32,000-token context window, enabling detailed, multi-part prompts with compositional and spatial constraints. Outputs can reach up to 4 megapixels, with fine detail in faces, hands, and textures suited for commercial use.

A defining feature of FLUX.2 [pro] is its ability to accept up to 8–10 reference images simultaneously, maintaining consistent character, product, and style identity across generated scenes. It also supports hex color matching, reliable typography rendering, structured JSON prompts, and pose guidance, making it well-suited for brand-controlled workflows. Built-in C2PA cryptographic metadata provides content provenance, and layered safety filtering blocks IP-infringing and explicit content at inference time. The model is designed for use cases such as e-commerce product imagery, advertising campaigns, and any workflow requiring consistent visual identity across multiple assets.

Capabilities

What FLUX.2 [pro] supports

AI

Multi-Reference Input

Accepts up to 8–10 reference images simultaneously via an image URL array, maintaining consistent character, product, or style identity across generated outputs.

AI

High-Resolution Output

Generates images up to 4 megapixels with detailed rendering of faces, hands, textures, and spatial relationships suitable for commercial production.

AI

Long Prompt Support

Supports a 32,000-token context window, allowing detailed prompts with multi-part compositional constraints, physics-aware lighting, and precise positioning specifications.

AI

Brand Color Control

Supports hex color matching and reliable typography rendering to produce brand-safe assets with exact color fidelity.

AI

Reproducible Generation

Accepts a seed value as input, enabling deterministic outputs so the same prompt and seed combination produces consistent results across runs.

AI

Content Provenance

Embeds C2PA cryptographic metadata into generated images, providing verifiable provenance information for content authenticity tracking.

IMG

Image Editing

Supports in-place image editing workflows through the same unified architecture used for generation, with dedicated API endpoints for editing tasks.

Pricing for FLUX.2 [pro]

Primary API pricing shown in the same “quick compare” spirit as the reference page.

API Access & Providers

Places where this model is available, based on the synced detail-page metadata.

Hugging Face

Configuration & Parameters

The configurable options currently documented for this model.

Width

Number
Default: 1024 Range: 64 - 2048

Height

Number
Default: 1024 Range: 64 - 2048

Seed

Seed

A specific value that is used to guide the 'randomness' of the generation.

Range: 0 - 2147483647

Supported Request Parameters

Parameters currently listed by OpenRouter or the local catalog for this model.

Width Height Seed

Resources & Documentation

Official model cards, release notes, docs, and other references synced from the source page.

Community discussion

What people think about FLUX.2 [pro]

FLUX.2 [pro] discussions are most active in r/PromptZenith, r/aiartcodex, r/Pro_Ai_Art. The strongest match in this snapshot has 48 upvotes and 6 comments.

View more discussions →
FAQ

Common questions about FLUX.2 [pro]

What is the context window size for FLUX.2 [pro]?

FLUX.2 [pro] supports a 32,000-token context window, which allows for long, detailed text prompts with complex compositional instructions.

How many reference images can I provide as input?

The model accepts up to 8–10 reference images simultaneously via an image URL array input, which can be used to maintain consistency in character, product, or style across generated scenes.

What is the maximum output resolution?

FLUX.2 [pro] can generate images up to 4 megapixels, with detailed rendering suitable for commercial applications such as e-commerce and advertising.

Does FLUX.2 [pro] have content filtering?

Yes. The model includes layered safety filtering at inference time that blocks explicit content and IP-infringing material, as noted in community discussions and the model's design for enterprise use.

When was FLUX.2 [pro] trained and released?

The model has a training date of December 2025 and was added to MindStudio on November 25, 2025, based on the available metadata.

Does FLUX.2 [pro] include any content provenance features?

Yes. Generated images include embedded C2PA cryptographic metadata, which provides a verifiable record of the image's origin and generation details.

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