FLUX 3

FLUX 3 is a next-generation multimodal model designed to understand and generate across images, video, and audio. Key capabilities include: * Unified content creation across modalities * Understanding of motion and temporal dynamics * Modeling of real-world interactions * Joint learning from diverse data types Moving beyond single-modality content creation, FLUX 3 offers a powerful framework for building comprehensive visual intelligence. It learns from images, videos, and audio simultaneously to create a cohesive understanding of how objects interact, how things move, and the auditory cues associated with events. This integrated approach allows the model to perceive, predict, and ultimately interact with both physical and digital environments more comprehensively. FLUX 3 leverages the Self-Flow approach to efficiently align multimodal generation and understanding within a single architecture. This enables the model to create nuanced content, whether it's generating dynamic video sequences, realistic images, or complementary audio. By learning from the mutual constraints between different data types, FLUX 3 develops a richer representation of underlying reality, where sounds match impacts and motion adheres to physical laws. Currently available for early access, FLUX 3 is ideal for developers and creators pushing the boundaries of generative content and sensory perception. It is particularly well-suited for applications requiring a deep understanding of multi-sensory information, from advanced content production to simulating complex real-world behaviors and creating interactive experiences.