FLUX.1-Kontext-dev Has Been Superseded by FLUX.2 — Upgrade Guide

🚀 FLUX.2 is the current model

FLUX.1-Kontext-dev has been superseded by FLUX.2, Black Forest Labs' second-generation model. For new deployments, follow the complete FLUX.2 installation guide →

What Was FLUX.1-Kontext-dev?

FLUX.1-Kontext-dev was the open-weight, developer-focused variant of the FLUX.1 Kontext model from Black Forest Labs, specializing in high-performance AI image editing. It shipped as a 12 billion parameter model designed to run on consumer hardware, making it accessible for research, development, and integration into applications. It was released under the FLUX.1 Non-Commercial License, offering free access primarily for research and non-commercial use.

It was a strong tool in its time, but it has since been replaced by a substantially more capable successor.

Why Upgrade to FLUX.2?

FLUX.2 is Black Forest Labs' second-generation image generation and editing model. Compared to FLUX.1 Kontext, it represents a major leap:

Feature	FLUX.1 Kontext	FLUX.2
Parameters	12B	32B
Image quality	Good	Significantly improved
Text-to-image	Basic	Superior generation
Image editing	Yes	More sophisticated, context-aware
Prompt upsampling	No	Yes

Key improvements in FLUX.2:

• 2.5× more parameters (12B → 32B) for noticeably better image quality and prompt adherence
• Superior text-to-image generation alongside its editing capabilities
• Prompt upsampling for richer, more detailed outputs from simple prompts
• Multi-image generation and editing in a single workflow
• The same team and lineage as the acclaimed FLUX.1 series, so your existing workflow concepts carry over

Where to Go Now

If you came here looking to deploy or use a FLUX image model, you almost certainly want FLUX.2 instead:

➡️ How to Install FLUX.2 Locally: Complete Setup Guide — covers system requirements, installation, usage, comparison with competitors, and cost analysis.

Still Need FLUX.1-Kontext-dev (Legacy)?

If you have a specific reason to stay on the legacy 12B model (existing pipelines, Non-Commercial License constraints, limited hardware), the original deployment approach is preserved below.

Legacy: Deploying FLUX.1-Kontext-dev

Requirements:

• Python 3.8+ with a virtual environment
• Hugging Face account (the model is gated)
• Compatible GPU with enough VRAM for a 12B parameter model

Steps:

1. Access the model — accept the license on the FLUX.1-Kontext-dev Hugging Face page and authenticate with your HF token.
2. Set up the environment — create a venv and install transformers, torch, and dependencies.
3. Load the model — for example, with Hugging Face's transformers library.
4. Run inference — either locally or via a hosted inference API endpoint (some providers expose REST endpoints for FLUX-Kontext-dev).

⚠️ The legacy model receives no further updates. For any new project, use FLUX.2.

Related Guides

• How to Install FLUX.2 Locally — the current model
• How to Use FLUX.1 Kontext Pro For Free — companion legacy guide (also superseded)