Character identity across scenes

Consistent Character Generator

Create one character and keep the same face, outfit, style and silhouette across expressions, poses, panels, storyboards, webtoons and video-ready scenes.

Identity prompt

Prompt to result
A curious young inventor with round glasses, teal jacket, messy black hair, same face across six expressions and three story poses.
Generate
Consistent character generator product mock-up

Consistency grid

Same face

across outputs

Story-ready

for panels and scenes

01

Define identity anchors

Set face, hair, outfit, colour palette and personality.

02

Generate controlled variations

Create poses, emotions and scene-ready views while preserving identity.

03

Use across story formats

Apply the character to comics, webtoons, storyboards and video scenes.

A character workflow built around identity lock.

Use this workflow when you need the same character to stay recognisable across prompts, scenes and story moments.

Character anchor

Define the visual details that must stay the same.

Face lock
Outfit lock
Expression set
Scene reuse

Variation grid

Review expressions, poses and scene options with consistent identity.

Consistent AI character variation grid
Verified identity benchmark · 11 August 2026

8 characters. 40 panels. Every appearance scored.

We generated one original 10-page comic with eight registered characters, published all 40 panels and scored all 80 actual character appearances. The first delivery passed 37 panels; three visible failures were repaired and preserved for comparison.

Registered cast

8

Each character appears exactly 10 times

Final panels

40

Published across 10 original pages

Scored appearances

80

Every real cast appearance reviewed

First delivery

37/40

92.5% of panels accepted

Targeted redraws

3

All failed originals remain visible

Final delivery

40/40

All 80 appearances accepted

Complete result, not a highlight reel

All 40 final panels in reading order.

The full contact sheet and every 2400 × 1600 page are served from immutable CDN originals. Panel labels disclose the cast and visual challenge for each test.

All 40 final panels in reading order.
40 / 40Open CDN original

Inspect all 10 full-resolution pages

Expand the reader to load the original 2400 × 1600 PNG pages without optimiser recompression.

10
Page 1
Page 1 · 2400 × 1600 PNG
Page 2
Page 2 · 2400 × 1600 PNG
Page 3
Page 3 · 2400 × 1600 PNG
Page 4
Page 4 · 2400 × 1600 PNG
Page 5
Page 5 · 2400 × 1600 PNG
Page 6
Page 6 · 2400 × 1600 PNG
Page 7
Page 7 · 2400 × 1600 PNG
Page 8
Page 8 · 2400 × 1600 PNG
Page 9
Page 9 · 2400 × 1600 PNG
Page 10
Page 10 · 2400 × 1600 PNG

Identity failures disclosed

First delivery → targeted repair → final delivery.

Three panels failed because Ren Ito's single mechanical left arm was duplicated. Each first-delivery image is preserved beside its one-redraw result; no failed panel was silently removed from the score.

Panel 1Asha Vale + Ren Ito

Ren Ito's single red mechanical left arm was rendered with duplicate robotic hand or forearm anatomy.

1 targeted redraw
First delivery · failed identity anatomy, panel 1
First delivery · failed identity anatomy
Final delivery · passed, panel 1
Final delivery · passed

Panel 10Ren Ito + Nia Quill

Ren Ito's single red mechanical left arm was rendered with duplicate robotic hand or forearm anatomy.

1 targeted redraw
First delivery · failed identity anatomy, panel 10
First delivery · failed identity anatomy
Final delivery · passed, panel 10
Final delivery · passed

Panel 30Ren Ito + Toma Reyes

Ren Ito's single red mechanical left arm was rendered with duplicate robotic hand or forearm anatomy.

1 targeted redraw
First delivery · failed identity anatomy, panel 30
First delivery · failed identity anatomy
Final delivery · passed, panel 30
Final delivery · passed

How identity was reviewed

Generation model
ByteDance Seedream 5 Lite
Review system
Manual full-resolution visual review in Codex, plus scripted completeness, cast-count, dimension, PDF-order and SHA-256 checks. No separate automated image-review model was used.
Every appearance was scored from 0 to 100 across face and head, hair, age and body, signature outfit and unique traits. The pass threshold was 80. Duplicated, merged, swapped, or misassigned identity anatomy failed regardless of overall style quality.

Active human review time was not instrumented separately. Local analytics persistence was unavailable, so the exact settled provider cost is not reported; the run used 51 successful image calls with zero provider failures.

Known defects and measurement limits

  • Nia Quill's crescent earrings often render as rounder hoops; this visible minor deviation was retained.
  • Toma Reyes's approved reference renders the written eyebrow scar as a more prominent upper-cheek and eyebrow scar; panels were scored against that disclosed reference.
  • Fine mechanical finger and palm geometry varies between Ren Ito panels after the single-arm identity constraint is satisfied.
  • The sample uses English diagnostic labels instead of story dialogue so the benchmark isolates visual identity consistency.
  • Active human review time and exact settled provider cost were not separately measured for this run.

Approved evidence SHA-256: 98c7d95e7fe7663b99d3ae8f482ad6583c281c7a8a836d68d40e8c819ab1d636

Open the public audit JSON

Consistency is the moat for AI storytelling.

Comic, webtoon, storyboard and video creators need repeatable characters, not isolated portraits.

Same identity

Face, hair, costume and silhouette need to remain recognisable.

Many contexts

The same character must work in close-ups, full-body poses and action scenes.

Production reuse

A consistent character becomes a reusable asset across a story pipeline.

Consistent character variation grid

Identity

Generate the same character across many outputs.

Create a reusable character identity that can survive pose changes, expression changes and scene changes.

AI character sheet generator preview

Sheets

Turn consistency into character sheets.

Use character sheets when you need front, side, back, expressions and outfit details for production.

Workflow guide

Generate a character once, reuse them everywhere.

One-off images are easy; recurring story characters need recognisable faces, outfits and visual continuity.

01

Define identity anchors

Set face, hair, outfit, colour palette and personality.

02

Generate controlled variations

Create poses, emotions and scene-ready views while preserving identity.

03

Use across story formats

Apply the character to comics, webtoons, storyboards and video scenes.

Consistent character prompt examples

Anchor identity first, then request variations.

Same character across six emotions: red hoodie, short curly hair, freckles, round glasses, upbeat comic style.
Fantasy knight protagonist, same face and armour across front view, side view, battle pose and quiet reaction shot.
Webtoon heroine with stable outfit and hairstyle, three close-ups, two full-body poses, pastel manhwa style.

Related writing workflow

Move the draft into screenplay form.

Use the AI Screenplay Editor when a script, fiction draft, storyboard brief, video idea, or canvas note needs proper scene headings, action, dialogue, parentheticals, cover pages, outlines, beats, and collaboration-ready revisions.

Hollywood formattingOutline, cover, and beatsAdvisor notes
Explore AI Screenplay Editor
Screenplay passReady

INT. COMMUNITY CENTER - NIGHT

Folded chairs. A storm outside. MAYA stands at the microphone with a page of notes she no longer needs.

MAYA

If the city will not read the record, we will read it out loud.

FormatHollywood
Beatslinked

Consistent character generator FAQ

Create a character your story can remember.

Generate a reusable character identity and carry it into panels, storyboards, webtoons and videos.