FLUX.1 Kontext [max]
FLUX.1 Kontext [Max] is a frontier image generation and editing model with advanced text rendering and contextual understanding.
Black Forest Labs Contextual image generation and editing with text rendering
FLUX.1 Kontext [max] is an image generation and editing model developed by Black Forest Labs. It accepts image URLs, configuration selects, and seed inputs to support both generating new images from text prompts and editing existing images while preserving their original context and composition. A notable characteristic of the model is its ability to accurately render text within generated images, which has historically been a difficult task for image generation systems. It also supports multi-image input, allowing multiple reference images to guide the generation process.
FLUX.1 Kontext [max] is the highest-tier variant in the Kontext model family from Black Forest Labs, positioned for workflows that require precise contextual understanding and high-fidelity output. It is suited for creative professionals, designers, and developers who need reliable image editing and generation within production pipelines. The model integrates with tools such as ComfyUI and MCP-compatible servers, and it carries a context window of 10,000 tokens. Its REMIX tag indicates support for remixing and transforming existing visual content.
What FLUX.1 Kontext [max] supports
Contextual Image Editing
Edits existing images while preserving their original composition and context, using an input image URL as a reference to guide targeted modifications.
Text-to-Image Generation
Generates new images from text prompts with a context window of 10,000 tokens, allowing detailed and nuanced prompt descriptions.
In-Image Text Rendering
Accurately renders legible text within generated or edited images, addressing a task that has historically challenged image generation models.
Image Remixing
Supports remixing existing visual content into new compositions, as indicated by the model's REMIX tag.
Multi-Image Input
Accepts multiple reference images as input, combining them to guide the generation or editing output toward a desired visual result.
Seed-Based Reproducibility
Accepts a seed input parameter, enabling reproducible outputs by fixing the random state used during image generation.
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Get Started FreeCommon questions about FLUX.1 Kontext [max]
What is the context window for FLUX.1 Kontext [max]?
FLUX.1 Kontext [max] has a context window of 10,000 tokens, which allows for detailed text prompts when generating or editing images.
What input types does FLUX.1 Kontext [max] accept?
The model accepts image URLs, two select-type configuration parameters, and a seed value. This allows users to provide reference images, configure generation options, and control reproducibility.
What is the difference between FLUX.1 Kontext [max] and other Kontext variants?
FLUX.1 Kontext [max] is the highest-tier variant in the Kontext family from Black Forest Labs, designed for workflows requiring the highest fidelity and contextual understanding. Black Forest Labs also offers [pro] and [dev] variants in the Kontext lineup.
Does FLUX.1 Kontext [max] have a training data cutoff date?
The metadata for this model lists the training date as not available (n/a), so a specific training data cutoff date has not been publicly disclosed.
What tools and platforms does FLUX.1 Kontext [max] integrate with?
The model has documented integrations with ComfyUI via a custom node implementation and with MCP-compatible servers. It is also available through platforms like fal.ai.
What people think about FLUX.1 Kontext [max]
Community discussion around FLUX.1 Kontext [max] and the broader Kontext family is active, with users on r/StableDiffusion and r/singularity tracking benchmark comparisons against competing models. The threads found reference Artificial Analysis ELO rankings as a common way users evaluate image editing models in this space.
The available threads focus specifically on comparisons involving the open-source FLUX Kontext Dev variant rather than the [max] tier, with users noting that newer open-source alternatives have closed the gap on benchmark leaderboards. Concerns in the community tend to center on whether closed or API-only models justify their cost relative to emerging open-source options.
HiDream-E1-1 is the new best open source image editing model, beating FLUX Kontext Dev by 50 ELO on Artificial Analysis
HiDream-E1-1 is the new best open source image editing model beating FLUX Kontex Dev by 50 ELO on Artificial Analysis
Parameters & options
A specific value that is used to guide the 'randomness' of the generation.
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