What is Text-to-Video?

Text-to-Video (T2V) is an emerging field in generative AI that converts written text into motion-rich video content. OmniHuman1’s model is designed to take both a user-submitted image and a prompt to generate lifelike human video—complete with mouth movements, emotional expressions, and subtle gestures.

This enables zero-to-human storytelling pipelines where users can control tone, pacing, personality, and presence through simple natural language. With the OmniHuman-1 framework, every generated frame is aligned to narrative intent, producing videos that feel personal, emotive, and visually coherent.

OmniHuman1’s T2V system goes beyond static animation, it incorporates audio synthesis, facial dynamics, and motion conditioning to generate videos that respond contextually to linguistic tone. This multi-modal integration enables creators to build avatars, explainers, or influencers that communicate with depth, nuance, and realism.