AI video generation creates short clips from text prompts, images or other videos.
How It Works
Most systems extend image generation techniques — often diffusion models combined with transformers — to sequences of frames, learning motion and consistency from large video datasets.
Capabilities
- Text-to-video and image-to-video.
- Camera movement and style control.
- Extending, editing and re-styling existing footage.
- In some systems, synchronised audio.
Limitations
- Short clip lengths.
- Consistency problems over time: objects changing shape, physics errors.
- Difficulty with precise actions and multiple interacting characters.
- High compute cost.
Uses
Concept visualisation, marketing drafts, storyboards, social content and visual effects prototyping.
Ethics and Risks
- Deepfakes and impersonation.
- Consent and likeness rights.
- Copyright questions around training data and outputs.
- Disclosure: label synthetic video, and preserve content credentials where available.
Evaluate Carefully
Review outputs frame by frame for errors before publishing.