How to Keep Characters Consistent in AI Video
Last updated: October 12, 2026
Character drift is the most common complaint in AI video: the face changes mid-clip, the jacket changes color, or the character looks like a different person in the next shot.
You cannot remove drift completely, but you can reduce it a lot with a stable keyframe, a consistent description, and motion prompts that tell the model what must not change.
When to use it
- Short films and stories with a recurring character.
- Brand mascots or presenters across several clips.
- Ads where the same model appears in every scene.
How to write the prompt
1. Write a fixed character description. Decide on a short, specific description, like age, hair, outfit, and one distinctive detail, and reuse it word for word in every prompt.
2. Start every clip from a keyframe. Image-to-video anchors the character's look far better than text-to-video. Reuse your best character image as the reference.
3. Ask for an identity lock. Add "strict frame-to-frame identity lock, subject features, wardrobe, and proportions held perfectly consistent" to the motion prompt.
4. Animate the camera, not the face. Camera moves keep characters stable. Big facial expressions, fast turns, and spins are where drift appears.
5. Keep clips short. Drift builds over time. Several short clips edited together hold identity better than one long generation.
Copy-ready example
Subject: A red-haired woman in a yellow raincoat walking along a foggy pier. Generate the keyframe image first, then use it as the start frame for your video with the motion layer as the video prompt. Add the negative block wherever your tool accepts one.
A red-haired woman in a yellow raincoat walking along a foggy pier. medium hero shot, subject framed from mid-torso up, heroic and commanding presence, shot on a 50mm prime lens, natural human-eye perspective with clean, undistorted rendering, diffused overcast softbox lighting, even flattering illumination with soft wraparound shadows, 16:9 landscape aspect ratio. Photorealistic, cinematic color grade, high dynamic range, sharp focus.
Camera move: locked third-person tracking shot following behind the subject at a constant offset, matching its pace, slow, tense creeping pace, deliberate and suspenseful timing. background streams past laterally with steady parallax, subject held stable, gimbal-smooth pursuit. strict frame-to-frame identity lock, subject features, wardrobe and proportions held perfectly consistent. Animate only the camera and environment, not the subject's core features.
Negative: blurry, low quality, distorted, deformed, extra limbs, disfigured, watermark, signature, jpeg artifacts, text errors, bad anatomy, flickering, temporal inconsistency, morphing artifacts, warping, ghosting. Style: cinematic film grain, anamorphic character, high dynamic range, professional color grade.
Common mistakes
- Describing the character slightly differently in each prompt.
- Using text-to-video for every shot instead of a reference image.
- Fast head turns and spins that force the model to invent new angles.
- Long single takes where drift accumulates.
Try it with your own scene
CineCue builds every prompt layer for you. Open it with this setup, describe your own subject, adjust the options, and copy the result into your AI tool.