Video Loom

Guide

How to keep characters consistent in AI video

The hardest part of multi-scene AI video is consistency: the same face, the same place, shot after shot. Here is how to lock continuity so revisions do not reset the look.

By Video Loom ยท

How to keep characters consistent in AI video

Set up anchors before the story

Create your recurring cast and locations as continuity anchors first, with reference images and locked descriptions, then bind the narrative to them. The story then references real, reusable elements rather than re-inventing them each scene.

  • Define cast and locations as reusable anchors.
  • Add reference images and canonical descriptions.
  • Bind scenes to the anchors they use.

Carry context between shots

Use reference frames and last-frame continuity so each shot inherits the look of the one before it. Connected shots then actually look connected.

  • Pass the previous frame into the next shot.
  • Reuse the same references across a sequence.
  • Group scenes that share an environment.

Revise without resetting

When you regenerate a single shot, the anchors stay attached so the rest of the video holds. Continuity survives the iteration that AI video always needs.

  • Regenerate one shot, keep the rest.
  • Lock canonical descriptions for recurring cast.
  • Review continuity before and after generation.

Questions

Common questions.

Why do AI characters change between shots?

Each generation is independent unless you carry references forward. Continuity anchors and reference frames give every shot the same source of truth.

Can I fix continuity after generating?

Yes. Anchors stay attached to scenes, so you can regenerate a drifting shot without disturbing the rest of the cut.

Keep reading

Scene continuity tools Keep cast, locations, and style consistent across scenes. Short film example Build an AI short film with continuity. AI video storyboard Storyboard AI video before provider spend.