FLUX.1 Kontext [max]
FLUX.1 Kontext [max] is an image generation model from Black Forest Labs that edits and remixes images using reference inputs and text prompts.
Black Forest LabsContext-aware image editing and remixing
FLUX.1 Kontext [max] is an image generation model developed by Black Forest Labs and released in May 2025. It is designed for context-aware image editing, meaning it can take a reference image as input and apply text-guided modifications while preserving relevant visual context from the original. The model supports a context window of 10,000 tokens and includes prompt upsampling, aspect ratio selection, and seed control as configurable inputs.
The model is tagged for REMIX workflows, making it suited for tasks like character consistency across scenes, style transfer, object replacement, and iterative image editing. It accepts a reference image URL alongside text instructions, allowing users to direct edits without starting from scratch each generation. FLUX.1 Kontext [max] is available as a first-party model on MindStudio and does not require separate API key configuration to use.
What FLUX.1 Kontext [max] supports
Reference Image Editing
Accepts a reference image URL as input and applies text-guided edits while preserving visual context from the original image.
Image Remixing
Supports REMIX workflows that allow iterative modification of existing images, including style transfer and object replacement.
Prompt Upsampling
Includes a selectable prompt upsampling option that expands or enriches short prompts to improve generation quality.
Aspect Ratio Control
Provides a selectable aspect ratio input so output images can be configured for different orientations and dimensions.
Reproducible Generation
Supports a seed input that allows users to reproduce identical outputs by reusing the same seed value across runs.
Large Context Window
Operates with a 10,000-token context window, supporting detailed and lengthy text prompts for precise image direction.
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Get Started FreeCommon questions about FLUX.1 Kontext [max]
What is the context window size for FLUX.1 Kontext [max]?
FLUX.1 Kontext [max] has a context window of 10,000 tokens, which allows for detailed text prompts when directing image edits or generation.
Does FLUX.1 Kontext [max] require a reference image?
The model accepts a reference image URL as an optional input. Providing a reference image enables context-aware editing, but the model can also generate images from text prompts alone.
Who developed FLUX.1 Kontext [max]?
FLUX.1 Kontext [max] was developed by Black Forest Labs and released in May 2025. It is available on MindStudio as a first-party model.
What does the prompt upsampling option do?
Prompt upsampling is a selectable input that enriches or expands the text prompt before generation, which can improve output quality when shorter or less detailed prompts are provided.
What is the pricing for FLUX.1 Kontext [max] on MindStudio?
Pricing information for FLUX.1 Kontext [max] is not published in the available metadata. You can check the MindStudio platform directly for current pricing details.
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
Documentation & links
Parameters & options
A specific value that is used to guide the 'randomness' of the generation.
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