Text-to-video generation
Text-to-video generation is the computational creation or modification of video content from textual descriptions or prompts.
Generative AI in Action
Text-to-video generation is the synthesis of video content from textual descriptions.
- How it is used
- Generates short, realistic or creative video scenes from textual prompts.
- How deep it goes
- Explains prompt conditioning and iterative denoising, but does not descend into mathematical model internals.
- Examples
- Uses Sora, Runway Gen-2, Pika, Hotshot, Stable Video Diffusion, and Wochit as video-generation examples.
- What you can do after
- Apply it via named AI video generators to create clips from descriptions.
Read how Generative AI in Action explains text-to-video generation →
Introduction to Generative AI, Second Edition
A text-to-video system generates or modifies video content from textual prompts.
- How it is used
- Supports filmmaking by generating storyboards, environments, simulated scenes, visual effects, and other production assets from prompts.
- How deep it goes
- Explains the capability and practical uses through overview examples, but stops short of model architecture or implementation details.
- Examples
- Uses Sora’s coral-reef video and filmmaking workflows involving storyboards, environments, simulated scenes, and post-production.
- What you can do after
- Evaluate text-to-video uses, limitations, and ethical consequences in filmmaking and synthetic media.
Read how Introduction to Generative AI, Second Edition explains text-to-video generation →
Related concepts
- Soraincludes · Sora is OpenAI’s text-to-video generative model for producing videos from textual descriptions.
- video generationuses · Video generation is the synthesis or transformation of moving-image content by a generative computational model from specified inputs.
- generative modelingproduces · Generative modeling is a machine-learning approach that learns patterns or a data distribution to generate new samples resembling the data.
- text-to-image modelalternative to · A text-to-image model is a generative machine-learning model that produces images conditioned on textual descriptions or prompts.
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