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Video generation

Video generation is the synthesis or transformation of moving-image content by a generative computational model from specified inputs.

How 2 Manning books explain it

Generative AI in Action

A video generator is a generative system that produces video content from user-specified inputs such as prompts.

How it is used
Uses prompt-driven video generation for personalized marketing, customer support, entertainment, education, and synthetic-data workflows.
How deep it goes
Explains prompt-to-video capabilities and enterprise applications, but stops short of model architecture or mathematical detail.
Examples
Shows Sora, Runway Gen-2, Pika, Hotshot, Stable Video Diffusion, Wochit, multilingual receptionists, and virtual sports anchors.
What you can do after
Apply it via prompt-based generators to create short clips, personalized ads, multilingual reception videos, or sports coverage.

Read how Generative AI in Action explains video generation →

Introduction to Generative AI, Second Edition

Generative video is the synthesis or transformation of video content using generative machine-learning models.

How it is used
Positions video generation as a creative-production tool for filmmaking, animation, storytelling, and visual experimentation.
How deep it goes
Explains capabilities, creative uses, and societal questions at overview level without implementation details.
Examples
Uses Runway, Sora, AI-generated animation, and Washed Out’s Sora-produced music video as concrete examples.
What you can do after
Apply it via Runway or Sora to generate or edit video and evaluate related authorship and labor questions.

Read how Introduction to Generative AI, Second Edition explains video generation →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.