Why characters drift

AI generators usually treat each request as a new creative decision. Even when a prompt is copied exactly, the model may reinterpret age, facial structure, clothing construction or body proportions.

Longer prompts do not automatically solve this. Important identity details can become buried among camera, lighting, action and environment instructions.

Create a permanent identity layer

Write a short identity record containing only features that must remain stable. Include face shape, hair construction, build, distinctive marks and proportions. Avoid camera language or scene action in this layer.

  • Use one approved name for the character
  • Choose two to four unmistakable identity anchors
  • Store front, profile and three-quarter references
  • Separate permanent traits from replaceable wardrobe

Treat wardrobe as production state

Wardrobe belongs to a scene or story phase, not the permanent identity. Record the exact garment, material, colour, damage and accessories currently active. When the costume changes intentionally, create a new approved state rather than silently rewriting the character.

Anchor every new shot

Begin each generation from the same approved reference set. Add only the action, camera and environmental changes required for the current shot. If a generator supports multiple references, use views that clarify details the shot will reveal.

Audit the result, not only the prompt

A strong prompt can still produce the wrong result. Compare each output with the approved reference before it enters the sequence. Livendly’s Continuity Autopilot keeps those comparisons and correction instructions connected to the production instead of relying on memory.