Text-to-Video
Definition
Text-to-video is an AI capability that generates video clips directly from text descriptions, producing motion, scenes, and characters without filming. The technology advanced rapidly in 2024-2025 with models like Sora, Runway Gen-3, and Kling achieving cinematic quality. Current models can generate clips of 5-60 seconds with increasing temporal coherence.
How It Works
Most text-to-video systems use a diffusion transformer architecture that operates in a compressed latent space of video frames. A text encoder converts the prompt into embeddings that guide the denoising process across both spatial and temporal dimensions. The model generates keyframes and interpolates between them, producing smooth motion while maintaining character and scene consistency.