About this model
Flux 3 extends the Flux line from still images to video and audio: a multimodal foundation model that covers image, video, audio and action prediction within one network. This catalog entry is the text-to-video endpoint, turning a written prompt into a video clip with sound, while the related Flux 3 image-to-video endpoint animates a supplied still and Flux 3 First Last Frame interpolates between two defined keyframes for controlled transitions.
Architecturally, the model is described by BFL as being trained with Self-Flow, an approach that places multimodal understanding and generation inside a single flow-matching model, with compute and data scaled across video, images and audio simultaneously rather than training separate systems. A practical consequence is joint generation: video and audio arrive in the same pass, so ambience, effects and dialogue — including multilingual speech — are aligned with on-screen events.
Compared with its same-family predecessors, the difference is a change of modality. Flux 2 Pro and Flux 2 Max are image generators focused on photorealism, multi-reference control and text rendering, with Flux 2 Max Edit handling inpainting-style edits; none produce motion or sound. On the generation quality side, BFL reports that in preliminary mid-training evaluations Flux 3 already showed significant improvement over earlier Flux versions in handling complex prompts and generating legible text.
For longer-form work, individual clips can be chained agentically into multi-shot sequences running several minutes, with visual references helping keep characters consistent across scenes. Stylistic coverage described by BFL ranges from handheld camcorder-style footage to animation and cinematic looks.
This About section is AI-generated from public sources (Claude Opus 5), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.
Data sources: Venice API · HuggingFace · Wikipedia — enrichment updated 3h ago