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.
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.
High-signal model metadata in a structured two-column overview table.
The entity that provides this model.
The number of tokens supported by the input context window.
The number of tokens that can be generated by the model in a single request.
Whether the model's code is available for public use.
When the model was first released.
When the model's knowledge was last updated.
The providers that offer this model. This is not an exhaustive list.
Types of data this model can process.
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.
Accepts up to 8–10 reference images simultaneously via an image URL array, maintaining consistent character, product, or style identity across generated outputs.
Generates images up to 4 megapixels with detailed rendering of faces, hands, textures, and spatial relationships suitable for commercial production.
Supports a 32,000-token context window, allowing detailed prompts with multi-part compositional constraints, physics-aware lighting, and precise positioning specifications.
Supports hex color matching and reliable typography rendering to produce brand-safe assets with exact color fidelity.
Accepts a seed value as input, enabling deterministic outputs so the same prompt and seed combination produces consistent results across runs.
Embeds C2PA cryptographic metadata into generated images, providing verifiable provenance information for content authenticity tracking.
Supports in-place image editing workflows through the same unified architecture used for generation, with dedicated API endpoints for editing tasks.
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Places where this model is available, based on the synced detail-page metadata.
The configurable options currently documented for this model.
A specific value that is used to guide the 'randomness' of the generation.
Parameters currently listed by OpenRouter or the local catalog for this model.
Official model cards, release notes, docs, and other references synced from the source page.
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.
FLUX.2 [pro] supports a 32,000-token context window, which allows for long, detailed text prompts with complex compositional instructions.
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.
FLUX.2 [pro] can generate images up to 4 megapixels, with detailed rendering suitable for commercial applications such as e-commerce and advertising.
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.
The model has a training date of December 2025 and was added to MindStudio on November 25, 2025, based on the available metadata.
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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