Tools/AI Image/Video Editing/FLUX.1 Kontext dev

FLUX.1 Kontext dev

Open-weight 12B rectified flow model for instruction-based image editing from Black Forest Labs.

Open SourceSelf HostedOffline CapableGPU Required
0.0 (0)

About

Instruction-driven image editing is the whole job of FLUX.1 Kontext dev: given an image and a plain-text command, the 12 billion parameter rectified flow transformer changes outfits, swaps backgrounds, restyles scenes, or edits text while preserving characters and composition across multiple successive rounds with minimal drift. Black Forest Labs released it in June 2025 as the open-weight distilled member of its commercial Kontext family, and it quickly became the reference open editing model, with support in ComfyUI and Diffusers plus hosted endpoints at fal, Replicate, Together, and others. Weights download from Hugging Face and default to bfloat16 on CUDA; community quantizations bring memory needs down to consumer cards. Inference code in the black-forest-labs/flux repository is Apache-2.0, but the weights carry the FLUX.1 dev Non-Commercial License: generated outputs may be used commercially, while commercial deployment of the model itself requires a paid license from BFL, and the license obliges deployers to apply content filtering or manual review.

Should you use FLUX.1 Kontext dev?

Pick it when

You want plain-text edits such as new outfits, backgrounds, styles, or changed text while keeping a character consistent across several rounds, using ComfyUI or Diffusers on a GPU, with quantized weights if VRAM is tight.

Look elsewhere when

You plan to deploy the model in a commercial product: that needs a paid BFL license plus content filtering, while Qwen-Image-Edit and Step1X-Edit are Apache-2.0. Generated outputs themselves may be used commercially.

Alternatives to FLUX.1 Kontext dev

  • Qwen-Image-Edit

    Apache-2.0 weights allow commercial deployment and it excels at Chinese and English text edits, but the 20B model is heavier than Kontext's 12B.

  • Step1X-Edit

    Apache-2.0 with a multimodal LLM that reasons about instructions, but needs 18GB even with FP8 offload and a version-specific patched Diffusers.

  • OmniGen2

    Apache-2.0 model that also generates and composes scenes from multiple reference images, but wants about 17GB VRAM, or half with CPU offload.

  • Krita AI Diffusion

    Selection-based inpainting inside a painting app with Flux support, better when you want to mask and paint rather than type instructions.

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Details

Price
Free
Platform
Local/Desktop
Difficulty
Intermediate (3/5)
License
FLUX.1-dev Non-Commercial License
Added
Jul 29, 2026

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