How to Keep an AI Character Consistent Across Shots

Short answer: a model re-invents your character from scratch on every generation, so the face, hair, outfit and age drift between shots. You fix it with three habits that reinforce each other: token anchoring (the same identity words every time), a locked reference image (ideally a 360° character sheet), and seed locking where your tool allows it. Do all three and the same character carries cleanly across a whole video.

This is the single biggest thing separating amateur AI video from work that looks like a real production. Here's the method.

Why characters drift

Image and video models don't "remember" your character. Each generation is a fresh roll of the dice, guided only by your words and any reference you give it. Leave the wording vague — "a young woman with dark hair" — and every shot gets a different young woman with dark hair. The model is filling the gaps you left, differently each time.

1. Token anchoring — say it the same way every time

Write a precise identity once, then repeat it word for word in every shot and every scene. Don't paraphrase. "A woman in her late twenties, sharp jaw, copper-red bob, a thin silver nose ring, freckles across the nose" should appear identically in shot 1 and shot 12. The repetition is the point — consistent tokens give the model a fixed target.

Vague vs anchored:

✗ a young woman with dark hair, smiling
✓ a woman in her late twenties, sharp jaw, copper-red bob, a thin silver nose ring, freckles across the nose — repeat these exact tokens every shot

2. Lock a reference image (the character sheet)

The strongest anchor most tools offer is a reference image attached as image 1 in every generation. The pro move is to build a 360° character sheet first — one image showing the face and body from front, side and back — and reuse that exact sheet as the reference for every shot. You design the character once; the sheet becomes your single source of truth.

New to references? Start with how to make a perfect reference photo.

3. Seed locking and per-model tricks

• Seed lock when the tool exposes it — reusing the same seed keeps the random starting point stable between renders.
• Runway Gen-4.5 and Seedance 2.0 have strong reference-driven consistency; feed the same reference and keep the description fixed.
• Kling 3.0 holds a subject well across its multi-shot sequences — anchor once and let it carry the cuts.
• Nano Banana Pro is excellent for generating the consistent reference frames in the first place (great for building that 360° sheet).

The workflow, end to end

1. Design the character once — lock a precise, distinctive identity (the more specific, the more stable).
2. Generate a reference photo / 360° sheet from that identity.
3. Reuse it as @img1 in every shot, with the exact same identity tokens in the text.
4. Keep one style and one lighting setup across the whole piece — a style change reads as a different world.

This pairs directly with multi-shot video prompting — the shot list gives you the structure, anchoring gives you the continuity.

FAQ

Want this built in? GoldenPrompts designs a unique character, hands it to the Character or People studio to make the reference photo, then anchors the exact same identity across every shot for you. Free to start: 1 prompt, no card.