FLUX 3: A Unified Multimodal Model for Real-World Visual Intelligence
We introduce FLUX 3, a new multimodal foundation model that jointly learns from images, videos, and audio within a unified architecture. By treating these modalities as projections of a single underlying reality, FLUX 3 captures physical laws and causal relationships better than isolated models. Early results in content creation and physical AI demonstrate its ability to perceive, predict, and act across diverse environments.
No single modality provides a complete description. Each is a projection of the same underlying reality, captured by different sensors, each of which loses some information in the process.