Emu Video

Emu Video is Meta AI's video generation model that demonstrates the company's research capabilities in generative video synthesis. Building on Meta's Emu image generation work, the video model produces short clips from text descriptions and still images with an emphasis on natural motion and temporal consistency.

The model's approach to video generation prioritizes visual consistency across frames — ensuring that subjects maintain stable appearance, environments remain coherent, and motion follows physics-consistent patterns throughout the generated clip. This temporal consistency is one of the most challenging aspects of AI video generation and Emu Video shows Meta's research progress in this area.

Emu Video's text-to-video capability allows users to describe a scene and receive a short generated video clip. The model handles various types of motion and scene dynamics, from subtle environmental movement to more complex action sequences.

For image animation, Emu Video takes a still image and generates motion that brings it to life while maintaining the identity and characteristics of the original image. This capability connects to Meta's broader ecosystem of AI-generated visual content.

As a research-oriented release from Meta AI, Emu Video provides insights into Meta's approach to video generation and contributes to the academic understanding of generative video models. The model demonstrates capabilities that inform Meta's product roadmap for AI-generated content across its platforms.