Black Forest Labs Releases FLUX 3: A Multimodal Flow Model for Image, Video, Audio and Robot Action Prediction
Black Forest Labs (BFL) has released FLUX 3, a multimodal foundation model that learns from images, videos and audio inside a single architecture. It is also the first FLUX model to ship video, audio and action prediction from one set of weights. The Black Forest Labs (BFL) research team argues that no single modality gives a complete description of the world. Images capture spatial structure at one instant. Video restores time and exposes physical dynamics. Audio reveals causal relationship
A multimodal foundation model has been released that learns from images, videos, and audio within a single architecture, treating each modality as a different view of the same underlying reality. The model can generate video clips up to 20 seconds long with native audio, and also predict robot actions, all from one set of weights. The significance lies in the approach of training all modalities together so their mutual constraints supervise each other, meaning sound must match physical impacts and motion must obey mass. The model was built by scaling up compute and data resources using a method called Self-Flow, which combines flow matching with self-supervised feature reconstruction.
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