FLUX is a groundbreaking open-source text-to-image technology developed by Black Forest Labs, surpassing established platforms like Midjourney and DALL-E 3 in image quality and prompt adherence.

The company introduced the FLUX.1 suite of text-to-image models, which set a new standard in image detail, prompt adherence, style diversity, and scene complexity.

FLUX.1 [pro] and [dev] models have established a new benchmark in image synthesis, outperforming competitors in visual quality, prompt following, and output diversity.

Performance comparisons indicate that FLUX consistently outperforms Midjourney v6.0 and DALL-E 3 in key metrics such as visual quality and output diversity.

All FLUX models utilize a hybrid architecture with 12 billion parameters, enhancing performance through innovative training methods including flow matching and rotary positional embeddings.

The company's mission focuses on developing advanced generative deep learning models for various media, including images and videos, to enhance creativity, efficiency, and diversity.

Black Forest Labs expressed enthusiasm about partnering with the team, valuing their commitment to open-source and collaborative AI development.

The firm secured approximately €28M ($31M) in a seed funding round led by Andreessen Horowitz, with notable participation from angel investors like Brendan Iribe and Michael Ovitz.

Follow-up investments from General Catalyst and MätchVC aim to further the company's goal of showcasing European AI on a global scale.

A comprehensive tutorial is available for installing and using FLUX on personal computers and cloud services, providing step-by-step instructions for various platforms.

The usage process includes real-time server debug logs and CFG scale adjustments to optimize image generation.

FLUX models can be run on cloud services, making advanced image generation accessible to users without high-end local hardware.