Technique · AI content creation

Consistent characters in AI images and video.

A character stays consistent when every generation works from the same fixed references rather than a fresh description. Build a reference set once, covering the face from several angles, body proportions, wardrobe and signature details, approve it, and make every new asset from it. Text alone drifts: the same description produces a slightly different person on each run, and small differences add up across a campaign.

Why descriptions alone drift

Image and video models sample a new result every time. A line such as "a woman in her thirties with short dark hair" fits thousands of people, and the model fills the gaps differently on each run: eye spacing, jawline, hairline, height against the product. One image on its own looks fine. Put six side by side in a carousel, or cut four shots together in a film, and viewers notice that the person keeps changing. For a mascot or a recurring brand character, that drift quietly erodes the recognition the brand has paid to build.

Building a reference set

Start with a neutral front view, a three-quarter view and a profile, all in even light. Add a full-length image that shows proportions against something of known size, a small range of expressions, and each wardrobe item as its own reference. Write down the small identifying details, such as a scar, freckles, a ring or a particular parting, because models drop small details first. For illustrated characters, add a turnaround sheet, line weight, the palette as colour values, and a note of what may change by season and what never changes.

Keeping identity across video

Motion adds new ways to lose a face. Identity tends to slip in profile turns, during fast movement and whenever the character is small in frame. Establish the face clearly in the opening frames, prefer starting each clip from an approved still, and keep the character large enough in frame for the model to hold the features. Between shots, check wardrobe, hair, props and the direction of the light. In Synthetic White, characters are saved as Elements, so every image and clip is generated from the same approved references rather than from memory of a description.

Real people, likeness and consent

When a character is based on a real person, such as a model, an ambassador or an employee, consent comes first. It should name AI generation specifically and set out the channels, markets and duration, who approves outputs and what happens when the contract ends. Voice is a separate consent from face. Some places now regulate digital replicas directly: Tennessee's ELVIS Act of 2024 protects voice as well as likeness, and California's AB 2602 makes contract clauses unenforceable when they let a digital replica stand in for a person's own work without a reasonably specific description of the intended uses and the person had no lawyer or union representing them.

Updated 26 October 2026

Questions

Consistent characters in AI images and video, answered.

How do you keep the same character across different AI images?

Generate every image from the same saved reference images instead of rewriting the description each time, keep those references fixed for the whole campaign, and review new outputs next to earlier ones. Drift is easy to miss in a single image and obvious in a set.

Can we make an AI version of our brand ambassador?

Yes, with written consent that names AI generation, the uses, markets and duration, and the person's approval rights. Check local law on digital replicas and likeness, and disclose realistic synthetic depictions of real people where the rules require it, for example under the EU AI Act.

Are illustrated mascots easier to keep consistent than photoreal people?

Usually, because a drawn style constrains the model more than a photograph does. Drift still happens, typically in proportions, line weight and colour. A turnaround sheet, an exact palette and a short list of fixed features keep a mascot recognisable from one asset to the next.

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