AI Video Generator With Consistent Characters

Why characters drift in the first place

A text-to-video model renders each generation independently. Describe a woman in her thirties with a scar through one eyebrow in shot 1 and again in shot 30, and you get two women who match the description and not each other — adjectives underdetermine a face. Every fix below is the same idea in a different place: stop describing the character, and hand the model a picture of them.

Four locks

A fifth, smaller one: each person in a shot carries one or two distinguishing facial notes pulled from their own description, which takes the edge off the classic failure where two characters in the same uniform trade faces mid-shot.

When the character is supposed to change

Consistency cannot mean "never changes" — a character who is set on fire in episode 6 has to look burned in episode 7. The dividing line is drawn by how a video model treats a reference image: it copies the face, the clothing, the form and the structure almost literally, and it applies light, weather and time of day as effects layered on top.

• Give it a state variant when what changes is appearance, wardrobe, form or structure: a full change of outfit, a transformation, burns, a collapsed room, a blade out of its sheath, a snapped object. The variant gets its own reference image, generated from the base art.
• Write it in the shot text when what changes is light, weather, time of day, position, what someone is holding, or what has landed on them. Rain does not need a second version of the street.

Getting this backwards is expensive in both directions: a variant for "holding the cup" is an image you paid for and will never see, and a prompt for "after the fire" is a request the model will politely ignore in favour of the clean room in its reference.

What is still not solved

• Long coats swallow the face. A full-body 9:16 sheet of a character in a long coat or robe spends most of its pixels on fabric, and the head ends up small enough that fine identity cues are lost. It is a framing limit, not a prompting one.
• Two characters dressed identically in one shot can still trade faces. Distinguishing notes help; matching uniforms remain the hardest case.
• Crowds. Consistency guarantees cover the cast in your asset library. Background extras are generated fresh each time and should be treated as scenery.

The layered explanation, with what each layer can and cannot catch, is in the character-consistency guide.

What it costs

Reference sheets are their own line item, separate from script analysis (4 credits per 3,333 characters of English text): each account gets 15 reference images free, and extra or regenerated images after that are 7 credits each on the default image model. State variants carry their own small free allowance on a first project and are billed as images after that. Video itself starts at 10 credits per second of output (≈ $0.06/s at the lowest credit price) whether or not references are attached — consistency is not a surcharge. Details on the pricing page.

Prove it on your own cast, for nothing

Consistency is the one claim in this category you should never take on trust, and you do not have to. A new account carries 50 credits, 15 free reference images across characters, scenes and props, a free episode-1 storyboard on your first project, and one free preview of up to 5 seconds that renders the opening shot of your own episode against your own sheets. That is enough for a real test:

1. Paste a scene in which the same two people appear several times, minutes apart.
2. Let the analysis build the cast, then read the character descriptions and fix anything wrong before art is drawn — the sheets are generated from that text.
3. Generate the sheets. A reference image takes about 16 seconds at the median, and 9 in 10 finish inside 27 seconds, so a five-person cast is a couple of minutes.
4. Spend the free preview on a shot where a character is doing something, not standing still, and compare the face against the sheet.

For calibration: the median project on this platform has five named characters, and nine in ten have fewer than ten. If your story needs thirty, the same mechanism still applies — the cost is the sheets, not the consistency.

Every episode, in fifteen languages

The dialogue language is set once in Step 1 and the whole run is performed in it, with the target-region setting moving names, faces and streets to that market at the same time. Each sample below was produced that way, one per language.

Frequently asked questions

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