Flux 3

Flux 3 is a new multimodal foundation model that jointly learns from images, videos, and audio within a unified architecture to develop a comprehensive understanding of the world rather than treating each modality separately. Built on the Self-Flow approach, the model leverages mutual constraints across modalities—such as audio matching visual impact and motion following physical laws—to learn a more accurate representation of underlying reality. Early results demonstrate capabilities including text-to-video generation, image-to-video animation, and joint video-audio creation up to 20 seconds in length, positioning it as a step toward developing real-world visual intelligence for both content creation and physical AI applications.