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Image Generation Model

FLUX.1 Kontext [pro]

FLUX.1 Kontext Pro is a powerful image generation and editing model that enables precise, context-aware modifications to existing images using natural language prompts.

Publisher Black Forest Labs
Type Image
Context Window 10,000 tokens
Training Data May 2025
Price $0.04/image
REMIX

Context-aware image editing with natural language prompts

FLUX.1 Kontext [pro] is an image generation and editing model developed by Black Forest Labs, released in May 2025. It is designed to accept an existing image alongside a text prompt and return a modified version of that image, making targeted changes while preserving the overall composition and structure. This context-aware approach distinguishes it from text-to-image-only models, as it is built specifically for in-place editing workflows rather than generating images from scratch alone.

The model accepts image URLs, configurable settings, and a seed value as inputs, giving users control over reproducibility and output variation. It is well suited for workflows that require consistent visual identity across edits, such as changing materials, lighting, or stylistic elements in product renders, architectural visualizations, or creative compositions. With a context window of 10,000 tokens, it can process detailed natural language instructions for precise prompt following.

What FLUX.1 Kontext [pro] supports

Image-to-Image Editing

Accepts an existing image URL as input and applies text-guided modifications while preserving the source image's composition and structure.

Context-Aware Remixing

Supports REMIX-style workflows, allowing targeted changes to specific elements — such as style, lighting, or objects — without altering unrelated parts of the image.

Seed Control

Accepts a seed value as a direct input, enabling reproducible outputs and consistent results across multiple generation runs.

Natural Language Prompting

Responds to concise text instructions with a context window of 10,000 tokens, supporting detailed and specific editing directives.

Configurable Output Options

Exposes multiple select-type inputs, allowing users to configure generation parameters such as aspect ratio or output format before running the model.

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Common questions about FLUX.1 Kontext [pro]

What is the context window for FLUX.1 Kontext [pro]?

FLUX.1 Kontext [pro] has a context window of 10,000 tokens, which allows for detailed natural language prompts when describing image edits.

Does this model generate images from scratch or edit existing ones?

FLUX.1 Kontext [pro] is designed primarily for context-aware editing of existing images. It accepts an image URL as input and applies text-guided modifications to that image, though it can also be used for generation tasks.

Who developed FLUX.1 Kontext [pro]?

The model was developed by Black Forest Labs and was added to MindStudio in June 2025, with a training date of May 2025.

What input types does FLUX.1 Kontext [pro] accept?

The model accepts an image URL, two configurable select inputs (for parameters such as aspect ratio or format), and a seed value for reproducibility.

Is there a way to get consistent results across multiple edits?

Yes. The model accepts a seed input, which allows users to fix the random seed and produce reproducible outputs across multiple runs with the same prompt and image.

What people think about FLUX.1 Kontext [pro]

Community discussion around FLUX.1 Kontext [pro] and the broader FLUX Kontext family reflects active interest in the image editing model space, with users tracking benchmark comparisons against competing models. Praise tends to focus on the model's ability to make targeted edits to existing images while maintaining compositional integrity.

Some threads highlight emerging competition from open-source alternatives, with users noting benchmark results that compare FLUX Kontext Dev against newer models on leaderboards like Artificial Analysis. Common use cases discussed include style transfers, product rendering, and creative remixing workflows.

View more discussions →

Parameters & options

Prompt Upsampling Select
Default: true
OnOff
Aspect Ratio Select
Default: 16:9
21:918:916:94:33:21:12:33:49:169:189:21
Seed Seed

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

Range: 0–2147483647

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