Live Portrait
Efficient and Controllable Video-Driven Portrait Animation
Cinematic, high-fidelity video generation from text and images at industry-leading speeds.
Luma Dream Machine is a cutting-edge video generation model built on a highly scalable transformer-based diffusion architecture. Designed for professional creators and enterprises, it produces 5-second clips with high temporal consistency, complex physics modeling, and cinematic lighting. As of 2026, it occupies a dominant position in the 'Instant Video' market, competing directly with OpenAI's Sora and Runway Gen-3 by prioritizing generation speed—capable of rendering 120 frames in approximately 120 seconds. The model excels at understanding physical interactions between objects and maintaining character identity across frames, a common failure point in earlier generative models. Its architecture allows for precise camera control and the integration of 'End Frames,' enabling users to define the concluding visual state of a sequence. This technical capability makes it particularly valuable for high-throughput industries like e-commerce, digital advertising, and pre-visualization in filmmaking. Luma AI continues to push the boundaries of multimodal understanding, allowing the model to interpret nuanced textual prompts and transform static brand assets into dynamic, photorealistic video content with minimal human intervention.
Allows users to upload a second image that acts as the final frame of the video sequence.
Efficient and Controllable Video-Driven Portrait Animation
Turn 2D images and videos into immersive 3D spatial content with advanced depth-mapping AI.
High-Quality Video Generation via Cascaded Latent Diffusion Models
The ultimate AI creative lab for audio-reactive video generation and motion storytelling.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Proprietary training on character geometry to ensure facial features remain stable during movement.
Pre-defined vector math for camera movements (Dolly, Orbit, Crane).
Fills the gap between two user-provided images with physically plausible motion.
Transformer-based inference that optimizes GPU utilization for < 120s render times.
Automatically aligns the first and last frames for seamless repeat playback.
Simultaneous processing of image, text, and negative prompts.
Expensive studio costs for filming simple product b-roll.
Registry Updated:2/7/2026
Director needs to see a scene's composition before hiring crew.
Need for high-engagement, surreal visuals that are hard to film.