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Keep Your AI Influencer's Face Consistent

Most AI influencer accounts stop looking like one person by video ten. Here is why AI faces drift between generations, and the anchor-sheet workflow that holds a character still.

You design a character, generate a few videos, and somewhere around post ten the comments start noticing. The jaw is narrower. The nose changed. Nobody can say exactly what moved, but the account no longer reads as one person.

That is drift, and it quietly kills AI influencer accounts. Here is why it happens and how to stop it.

Why AI faces drift

An image model does not remember your character. Every generation is a fresh sample from what you described, and a description that reads as precise to you leaves a lot unstated: the width of the face, where the hairline sits, how heavy the brows are. The model fills those gaps differently each time, and across a month of posting the small differences compound into a different person.

The intuitive fix makes it worse. Feed the last image back in as the input for the next one and each pass inherits the previous pass's artefacts, then adds its own. Skin goes plastic, features soften, the eyes drift apart. You end up with a copy of a copy.

One sheet, four angles

The fix is to stop describing the character and start pointing at them. That artefact is the character board: one sheet showing your influencer front, left, right and back, head to toe, from your description plus, if you want the resemblance pinned harder, real likeness photos.

The sheet is not a deliverable, it is the anchor. Nothing else in the Studio unlocks until one exists, because every later image composites on the board as its base image rather than starting from your words again. The four angles earn their place: a model given only a front-on face has to invent the profile, and inventing is where drift lives.

Regenerate from the description, never from the last sheet

The first sheet is usually not the one, so generate another, and another. Every board turn starts fresh from your description and your likeness anchors, and the previous sheet is never an input. That is the anti-drift rule in one line. You are not refining towards a copy of a copy, you are drawing three or four independent candidates and picking the best.

The newest sheet becomes active automatically, but nothing is thrown away. Past sheets stay in a history you can flip back to at no cost, so the one you abandoned in turn two is still there in turn five when you decide it was better. A sheet made elsewhere can be uploaded into the same history and used as the anchor.

Build the still library once

Once the board is right, the variety comes from stills rather than from the character. A create image turn puts the board in as the base image, with any extra references riding along numbered, and returns a candidate: a kitchen, a car, a desk, a change of outfit. Keep the good ones and they become the avatar's library.

Each scene in a video then picks one still, and the scene generated from it stays anchored to that likeness. Settings change, angles change, clothes change, the person does not. Consistency is not a setting you switch on, it is a consequence of everything pointing back at one image.

What it costs to get the face right

Studio turns are 5 credits each, board turns and library images alike, and a character usually settles in three to five, so 15 to 25 credits buys a face and a couple of places to put it. Flipping through the sheet history and uploading your own are free.

For scale, a 10 second voiced video is 28 credits and the opening 50 credit pack is $2, one per customer. A board at 5, a still at 5 and a video at 28 comes to 38 of those, enough to see whether the character survives contact with an actual clip. What a real posting cadence costs is a separate sum.

What this does not fix

An anchor holds the person, not every pixel. Fine detail still moves shot to shot: a ring, the fall of the hair, a tattoo at the edge of frame. Judge it the way a viewer scrolling past does, on whether it reads as the same person, not on a pixel diff.

Videos generate one at a time, minutes each. Batch generation, several variants in a single run, is on our roadmap rather than shipped, so a settled character does not mean a week of posts in one sitting. There is no publishing or scheduling either. You download a 9:16 MP4 and upload it yourself.

And a consistent face is not an audience. It removes a reason people unfollow, but the hook, the niche and the motion still decide whether anyone watches. Motion is the other tell most accounts miss, and driving it from a real clip solves that one.

Where to start

Spend the first sitting on the board and nothing else. Three or four fresh attempts, pick the sheet you would recognise from across a room, then build two or three stills on it. That is under 25 credits, and it is the part worth getting right first, because everything you post for the next three months is anchored to it.

Create your AI influencer and generate the first video.