AI Influencer · Face consistency
The reason most AI influencers never get followers is that they are never quite the same person twice. Yours is pinned to two reference images that go into every single render — so post two hundred and it is still her.
Every photograph below is the same generated character. Nothing here is stock.
Her character sheet. Front, side, back, three-quarter — one person, one outfit, one body, on a plain backdrop so nothing in the frame competes with her. This is generated once and then quietly does its job forever.
A single portrait is not enough — it tells a model what her face looks like from one angle and nothing about her build, her hair from behind, or how she reads in profile. So every character carries two reference assets, and both are attached to every generation automatically. You never pick them, upload them again, or remember to include them.
These were not photographed. Each one is a fresh render from the two references above — different scene, different clothes, different time of day, and a face you would pick out of a crowd as the same person.
Consistency is worthless if it freezes her. Ask for an expression and only the close-up goes in — the sheet is deliberately left out, because a four-pose grid pulls the render back towards its own poses and flattens whatever you asked for.
There is one generation engine underneath the whole product, and the references are attached inside it. So this is not a feature of one screen — it is true everywhere she appears, including the places that run while you are asleep.
When a fan asks her for a picture, the reply is her — not a new woman who happens to share a hair colour.
Select her once and every render in the session carries her, across models, aspect ratios and multi-step workflows.
See the studioEvery automatic post weeks from now uses the same references, which is the only reason an unattended feed stays believable.
Schedules & publishingClips are animated from a still that already has her face in it, so the person who moves is the person in the feed.
Try-ons put an actual garment on her rather than on a model who looks roughly like her — which is what makes the shot worth selling from.
Store & try-onsReuse a saved look or template and its framing and caption style are kept while she is rendered into it — her face, their layout.
It is one of the steps of a launch, and it happens without a form.
Generate one in the launch flow, or upload a photo you already have. Either way you end up with a single picture of the person you want to run.
A vision pass takes her apparent age, skin, eyes, hair and build straight out of the image, so you are not filling in dropdowns describing a face that is already on screen.
Four full-body views in one frame — front, side, back, three-quarter — on a plain light-grey backdrop, in even daylight, with no text or labels anywhere in it.
Don't like the result? Regenerate the sheet from the close-up, or the close-up from the sheet, one at a time. Each is seeded by the other, so a re-roll never drifts into a different person.
References carry most of the weight, but not every image model treats them equally, and some styles pull hard away from a likeness. There is a second line of defence for that, and it runs after the image exists rather than trying to prevent it.
A character with no sheet still generates — it just leans on the face alone, and body and hair wander more from shot to shot. If your feed looks nearly right but slightly different every time, that is usually the missing sheet, and it is one click to add.
Build an influencer — freeOne image holding four full-body views of your character side by side — front, side, back and three-quarter — with the same face, hair, body and clothing in all four, on a plain light-grey backdrop. It is what tells an image model her build and proportions, which a face photo alone cannot.
Both reference assets — the close-up and the character sheet — are attached to every generation of that character automatically, inside the shared generation engine. The model is matching two pictures of a real-looking person rather than re-interpreting a text description each time.
No. You select the character and the references go in on their own. There is nothing to upload again, and no prompt wording you can forget.
Yes. Video clips are animated from a still image, and that still is generated with her references, so the person who moves in the clip is the person in the rest of the feed.
Yes. When you ask for an expression, only the close-up is used as a reference — the character sheet is deliberately left out, because its four fixed poses pull the render back towards them and flatten the expression you asked for.
Regenerate it. You can re-roll the character sheet from the close-up, or the close-up from the sheet, independently — each is seeded by the other, so a re-roll gives you a different picture of the same person rather than a different person. Note that regenerating the close-up also replaces her profile image.
Yes. Upload the picture and the look is read out of it — apparent age, skin, eyes, hair and build — then the sheet and close-up are built from that, so the character you end up with is the person in your photo.
Merge Face swaps her face onto a finished image, including images generated elsewhere, and can be saved as a step inside a workflow so it runs as a finishing pass every time. Her portrait is resolved on the server from her own record, so the wrong face cannot be picked by mistake.
Build the character free. The sheet and the close-up come with it, and every picture after that is her.
Everything shown on this page is AI-generated content, made with this product.