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black-forest-labs/flux

Analysis updated 2026-06-21

★ 25,496PythonAudience · researcherComplexity · 4/5LicenseSetup · hard

TLDR

FLUX is an AI image generation library that turns text prompts into pictures and edits existing images, with multiple model variants trading off speed, quality, and commercial licensing.

Mindmap

mindmap
  root((FLUX))
    Model variants
      schnell fast Apache
      dev high quality non-commercial
      Kontext image editing
    Tasks
      Text to image
      In-painting fill regions
      Out-painting extend image
      Image variation
    Tech
      Python
      HuggingFace models
      TensorRT GPU option
    Audience
      Researchers
      Developers
      Creative professionals
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What do people build with it?

USE CASE 1

Generate high-quality images from text prompts by running FLUX models locally on your own hardware.

USE CASE 2

Fill in or extend missing regions of a photo using the in-painting and out-painting models.

USE CASE 3

Create new image variations from a reference picture without rewriting a prompt from scratch.

USE CASE 4

Guide image composition by providing a depth map or edge outline from another photo as structural conditioning.

What is it built with?

PythonHuggingFaceTensorRT

How does it compare?

black-forest-labs/fluxkeon/algorithmsmatterport/mask_rcnn
Stars25,49625,44425,555
LanguagePythonPythonPython
Setup difficultyhardeasyhard
Complexity4/51/54/5
Audienceresearcherdeveloperresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · hard Time to first run · 1h+

Requires downloading large model files from HuggingFace and an NVIDIA GPU for practical inference speed.

The fast 'schnell' models are Apache-licensed for free commercial use, the higher-quality 'dev' models are non-commercial unless you obtain a separate commercial license from Black Forest Labs.

In plain English

FLUX is the official code repository for running FLUX.1, a suite of AI image generation and editing models created by Black Forest Labs. It solves the problem of generating high-quality images from text descriptions or editing existing images, all running on your own computer or via an API. The library offers several model variants for different tasks: text-to-image (turn a written prompt into a picture), in-painting and out-painting (fill in or extend parts of an image), structural conditioning (guide image style using depth maps or edge outlines from another image), image variation (create new versions of an existing image), and image editing using a model called Kontext. Models come in two main flavors, "schnell" (fast, Apache-licensed, free for commercial use) and "dev" (higher quality, non-commercial license unless separately licensed through Black Forest Labs' commercial tier). You would use this if you are a researcher, developer, or creative professional who wants to run state-of-the-art AI image generation locally or integrate it into a product. The tech stack is Python, and the models are downloaded from HuggingFace. Optional TensorRT support from NVIDIA is available for faster performance on compatible graphics cards.

Copy-paste prompts

Prompt 1
Show me Python code to run the FLUX schnell model locally to generate an image from a text prompt using HuggingFace.
Prompt 2
How do I use the FLUX in-painting model to replace a specific region of an existing photo while keeping the rest intact?
Prompt 3
How do I enable TensorRT for FLUX on an NVIDIA GPU to get faster image generation?
Prompt 4
Give me a script to download and run the FLUX Kontext image editing model from HuggingFace.
Prompt 5
What is the difference between FLUX schnell and FLUX dev, and which can I use for a commercial product?

Frequently asked questions

What is flux?

FLUX is an AI image generation library that turns text prompts into pictures and edits existing images, with multiple model variants trading off speed, quality, and commercial licensing.

What language is flux written in?

Mainly Python. The stack also includes Python, HuggingFace, TensorRT.

What license does flux use?

The fast 'schnell' models are Apache-licensed for free commercial use, the higher-quality 'dev' models are non-commercial unless you obtain a separate commercial license from Black Forest Labs.

How hard is flux to set up?

Setup difficulty is rated hard, with roughly 1h+ to a first successful run.

Who is flux for?

Mainly researcher.

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