Introducing the high-quality image editing AI 'FLUX.1 Kontext [dev],' an open model that can process images as instructed while preserving the original image

Black Forest Labs - Frontier AI Lab
https://bfl.ai/announcements/flux-1-kontext-dev
Black Forest Labs released the image generation AI models ' FLUX.1 Kontext [pro] ' and ' FLUX.1 Kontext [max] ' on May 29, 2025. The newly released FLUX.1 Kontext [dev] is positioned as an open-weight model for developers of FLUX.1 Kontext [pro] and is specialized for image editing.
High-quality and high-speed image generation AI 'FLUX.1 Kontext' has appeared, so I tried it out, it supports text and image input and can generate both anime-style and live-action-style images - GIGAZINE

FLUX.1 Kontext [dev] has 12B (12 billion) parameters and can run on consumer GPUs. It is also code compatible with FLUX.1 [dev] and supports frameworks such as ComfyUI, HuggingFace Diffusers, and TensorRT.
Below is an example of image editing using FLUX.1 Kontext [dev]. Starting with the illustration in the upper left, beards are added while preserving the facial features, and a full-body image is generated and made to dance.

Below are the results of testing multiple models, including FLUX.1 Kontext [dev] and OpenAI's

Black Forest Labs is also working with NVIDIA to develop a TensorRT version of FLUX.1 Kontext [dev], which achieves 2.14x faster inference speed while maintaining the same performance as the base model.

The model data for FLUX.1 Kontext [dev] is available at the following link. For non-commercial use, it can be used in accordance with the license terms of ' FLUX [dev] Self-Hosted Commercial License Terms ', and a license for commercial use is also available for $999 (about 145,000 yen) per month .
black-forest-labs/FLUX.1-Kontext-dev · Hugging Face
https://huggingface.co/black-forest-labs/FLUX.1-Kontext-dev

The technical report for FLUX.1 Kontext [dev] is also available at the following link.
[2506.15742] FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space
https://arxiv.org/abs/2506.15742

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