AI actors

The same person in every shot, not a lookalike each time.

Consistency is the whole problem. A face that shifts between takes turns a campaign into a collection of unrelated clips. An actor here is a full identity with a version history, not a prompt you hope lands the same way twice.

Browse the cast
Maya ChenSarah WhitfieldJordan ReyesZara AhmedChloe BennettAmara JohnsonYuki TanakaEmma ClarkeMarcus Chen
Identity

An actor is a record, not a re-roll.

Face, body, hair, skin, wardrobe defaults and voice are stored as structured identity rather than a paragraph of prompt text. Every edit creates a new version, so you can compare, roll back, and see exactly which state produced which video.

Every change is a version, and rollback creates a new version rather than destroying the old one
Lock an approved identity so nobody can quietly change the face mid campaign
Each generated video records the exact actor version behind it
Clone any actor into a variant without touching the original
Appearance

Tune the specifics, in the words a director would use.

Twenty six named controls across face, body, hair and skin, each moving between real described states rather than an abstract slider with no meaning. Describe a change in plain language and the controls move to match, so you can review the result before applying it.

Face, body composition, hair and skin, each with named steps
Presets for common builds, editable rather than locked
Describe the change you want and see which controls it moves
Applying a change writes a new version, so nothing is lost
Quality control

Drift is checked, not hoped away.

Automatic consistency review

Each generated view of an actor is compared against their canonical front view for face, hair, build and apparent age. Mismatches are flagged for a human rather than silently shipped.

Candidates before commitment

Generate several options for a view and promote the one you want. The rest are kept in history rather than deleted, so a decision can be revisited.

Wardrobe safety checks

Reference images are checked for visible clothing before they reach a video provider, because an under dressed reference gets a generation rejected and wastes the spend.

Where this is still hard

Prompt driven identity has a real ceiling. Fine detail such as hair length can still shift a little between independently generated angles, and full body views drift more than headshots do. The consistency review exists precisely because that is true. Generating several candidates and promoting the best one reliably beats a single re roll, and that workflow is built in rather than left to you.

Start with a cast that already exists.

Every account opens with the shared library. Clone anyone, tune them, and make them yours.