English

Demystifying Flux Architecture

Computer Vision and Pattern Recognition 2025-07-15 v1

Abstract

FLUX.1 is a diffusion-based text-to-image generation model developed by Black Forest Labs, designed to achieve faithful text-image alignment while maintaining high image quality and diversity. FLUX is considered state-of-the-art in text-to-image generation, outperforming popular models such as Midjourney, DALL-E 3, Stable Diffusion 3 (SD3), and SDXL. Although publicly available as open source, the authors have not released official technical documentation detailing the model's architecture or training setup. This report summarizes an extensive reverse-engineering effort aimed at demystifying FLUX's architecture directly from its source code, to support its adoption as a backbone for future research and development. This document is an unofficial technical report and is not published or endorsed by the original developers or their affiliated institutions.

Keywords

Cite

@article{arxiv.2507.09595,
  title  = {Demystifying Flux Architecture},
  author = {Or Greenberg},
  journal= {arXiv preprint arXiv:2507.09595},
  year   = {2025}
}
R2 v1 2026-07-01T03:58:32.055Z