How to Keep a Character's Face Consistent in AI Video
The way to keep a character's face consistent in AI video is not better prompting — it is building a character sheet (a multi-view reference) first, then generating every shot with that sheet as the reference. Text descriptions cannot pin down an identity: each generation produces a 'similar but different' person. With a sheet covering front, profile, and back views as the anchor, the same face survives any camera angle.
Why faces drift between cuts
Every image generation is an independent trial. A prompt like 'Korean woman in her 20s, bob haircut' describes millions of people — run it ten times, get ten different people.
Even one reference photo isn't enough. A frontal photo carries no profile geometry (nose ridge, jawline, ear position), so the moment the model has to invent a side view, it invents a different person.
The answer is to pre-build the missing views — the same reason film productions make model sheets for every character.
The workflow: one photo → sheet → every cut
Step 1 — Generate a character sheet: from one frontal photo, build a 16-cut sheet (turnaround, expressions, poses). Cinema Forest's Character Sheet automates this step.
Step 2 — Generate shots from the sheet: when creating multi-angles (15 camera angles), poses, or acting shots, use the sheet/original photo as the reference. The face reference always goes first; back-view cuts also use the rear reference.
Step 3 — Keep a master cut: pick the best output as your 'master' and anchor later work to it. In two-person scenes especially, master-anchored generation dramatically reduces identity drift.
Step 4 — Feed the video tool: use finished cuts as the start frame + character reference in Kling, Veo, or Seedance. The video model then animates the face it was given instead of inventing one.
Field rules for holding identity
Don't change lighting drastically — hard backlight or colored light hides facial features and causes drift.
Lock wardrobe and hair in text. The reference holds the face; text holds the outfit.
Explore in Draft, commit in Quality — save cost while iterating, finalize only the master at high quality.
Use tools with automatic verification. Cinema Forest's Dialogue Shots compares face embeddings on every cut and regenerates automatically when identity doesn't match.
FAQ
How many photos do I need?
One frontal face photo is enough to start. Adding profile and back photos improves accuracy for side and rear cuts.
Can prompting alone keep the same face?
Practically, no. Text specifies a category, not an individual. Even a fixed seed breaks once the angle or framing changes. An image reference is the only reliable anchor.
Why does the profile view become a different person?
A frontal photo has no side-view geometry, so the model imagines the profile. A character sheet with a turnaround solves exactly this.
Can I use photos of a real person?
Only yourself, or someone whose consent you have. Cinema Forest requires an upload-rights confirmation at signup, and deepfake abuse is prohibited by the terms of service.