Video EditingAdvanced

How to Keep a Consistent Character Across AI Clips

Use reference images and reusable prompts so the same character looks the same in every generated shot.

9 minAdvanced

AI video models invent a fresh interpretation of your character on every render, which breaks continuity across a multi-shot scene. The fix is to anchor the model with the same reference image and a fixed character description in every shot. This guide gives a repeatable workflow for character consistency.

What you need

  • A locked reference image of your character (generated or photographed)
  • Runway or Kling, both of which accept image input per shot
  • A written character description you will reuse verbatim
  • About 9 minutes for the setup; faster per shot after that

Step 1: Lock a single reference image

Pick or generate one clear, well-lit image of your character, ideally a three-quarter view with the face visible. This is your source of truth. Every shot will start from this image or a close variant of it, so spend time getting it right.

Reference asset
character_ref_v1.png (locked)
------------------------------------------------------------
Face visible: yes Lighting: neutral View: 3/4
Used by: shot_01, shot_02, shot_03 ...
A single locked reference used across all shots.

Step 2: Write a fixed character block

Create a short character description and paste it into every shot prompt unchanged. Keep the same wording for hair, clothing, and distinctive features. Only the action and camera should change between shots.

character-block.txt
CHARACTER (reuse exactly):
a woman in her thirties, shoulder-length auburn hair,
freckles, wearing a green canvas jacket and white tee.

Step 3: Start each shot from the reference image

For each new shot, upload the reference image as the first frame and append only the action and camera move to your fixed character block. Starting from the image is far more consistent than describing the character from scratch in text.

shot-02-prompt.txt
CHARACTER (reuse exactly):
a woman in her thirties, shoulder-length auburn hair,
freckles, wearing a green canvas jacket and white tee.

SHOT: medium close-up, she turns to look over her shoulder,
slow push-in, warm afternoon light.
Generate a turnaround set
Make a few reference images of the same character from different angles, front, side, three-quarter, and feed whichever matches the shot's camera. Matching the reference angle to the shot keeps the face stable.

Step 4: Keep wardrobe and lighting in the prompt

The model drifts most on clothing color and hairstyle. Because those live in your fixed character block, they get repeated every time. Resist the urge to paraphrase the block between shots; identical text gives identical results.

Step 5: Review shots together, not alone

Line up all the rendered shots in your editor and watch them in sequence. Continuity errors are obvious in a row that are invisible one clip at a time. Re-render any shot where the character clearly shifts, reusing the same reference and block.

Editor - continuity check
Timeline
------------------------------------------------------------
[shot_01] [shot_02] [shot_03] [shot_04]
ref v1 ref v1 ref v1 ref v1 <- same source
Jacket color consistent? yes Hair? yes
Shots laid end to end to spot character drift.

Result

A four shot scene where the same woman in a green jacket reads as one person throughout. The discipline of one locked reference plus an unchanged character block is what holds continuity together where prompting fresh each time would fail.

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Tags
#runway#kling#consistency#character#workflow