Flux

github.com/black-forest-labs/flux Model Serving & Inference Open-source projectFreemiumOpen source

Run image model inference with FLUX through the official repository from Black Forest Labs.

github.com/black-forest-labs/flux
Flux homepage screenshot

About Flux

Flux is the official open-source inference repository from Black Forest Labs for its FLUX.1 family of image generation and editing models. The repository provides minimal, ready-to-use code to run local inference for a range of open-weight model variants, with optional TensorRT support for optimized performance on NVIDIA hardware.

Users can perform tasks including text-to-image generation, in/out-painting, structural conditioning, image variation, and image editing using the provided open-weight models. The repository also includes demo scripts for quick testing, and supports access to additional Pro tier non-open-weight models via the BFL API, with built-in usage tracking for commercial licensing compliance.

It is suited for developers, researchers, and creators working on AI image projects who want to run FLUX models locally or integrate them into custom workflows, including those needing commercial usage rights for their work.

Key features

  • Local inference for all open-weight FLUX.1 models
  • Supports text-to-image, editing, and in/out-painting tasks
  • Optional TensorRT optimization for NVIDIA hardware
  • Includes demo scripts for quick local testing
  • Built-in usage tracking for commercial licensing compliance
Best for: It is best suited for developers, researchers, and creators needing to run or integrate FLUX.1 image generation and editing models locally or via API, including those requiring commercial usage rights.
Good for
  • Open-source repository with Apache 2.0 licensed weights
  • Wide range of specialized models for diverse image tasks
  • Optional TensorRT support for faster NVIDIA inference
  • Includes ready-to-run demo scripts for easy setup
Watch out for
  • Most open-weight models restrict commercial use without paid licensing
  • TensorRT setup requires specific NVIDIA container and enroot
  • Commercial use requires mandatory usage tracking implementation

Flux at a glance

Type
Open-source project
Pricing
Freemium
Open source
Yes · Source code
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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Flux FAQ

Is the FLUX inference repository open source?
Yes, the repository is publicly available on GitHub, with select model weights released under the open-source Apache 2.0 license.
Can I use FLUX models for commercial projects?
Commercial use is permitted for Apache 2.0 licensed models, while other open-weight models require a paid commercial license and mandatory usage tracking.
What image generation tasks does FLUX support?
FLUX supports text-to-image generation, in/out-painting, structural conditioning, image variation, and image editing tasks.
Does FLUX offer optimized inference options?
Yes, the repository includes optional TensorRT support for faster inference performance on NVIDIA hardware.
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