What is character consistency?

Character consistency is an AI generator's ability to keep the same person recognizable across many separate images and videos, instead of producing a new face with every prompt.

What it means

Most text-to-image diffusion models initialize with random latent noise, so identical descriptive prompts produce entirely different faces each time. Prompts alone cannot maintain facial geometry across sessions; consistency requires feeding the model persistent reference data of the person.

On AIGE, a character is a saved record with a name, an avatar and a gallery of reference photos. Every image or video you generate with that character selected carries its ID and photos to the model, so the face holds while the outfit, setting, lighting and pose change.

For video, the same saved character is passed to video generation, and image-to-video (i2v) can start a clip from a still of that character with Kling 3.0, Veo 3.1 or Seedance, so the person in your clips matches the person in your images.

It is a strong anchor, not a lock: extreme angles or heavy stylization can still shift small details. The same character carries into video and the Fitting Room, so you build the identity once and reuse it everywhere.

Put the idea into practice

Describe what you want to create. Choose a look and review your draft before registering.

Drafting is free. Generating uses credits from a plan; cancel anytime.

Frequently asked questions

Why does my AI character's face change between images?

Most generators treat every prompt as a fresh start from random noise seeds, with no memory of previous generations. Reusing a persistent gallery of reference photos attached to a character ID is what anchors the facial identity across generations.

Can prompt engineering alone fix character drift?

No. Detailed descriptions can specify styling, clothing or hair color, but diffusion models cannot derive consistent facial bone structure from text alone. Physical reference photos or identity embeddings are required to hold the face.

Does character consistency work across video models too?

On AIGE, yes. The same saved character is passed to video generation, and image-to-video can start a clip from a still of that character, so the person in your clips matches the person in your images.

How many reference photos do I need for good consistency?

A few clear, well-lit photos are enough to start. You can keep adding photos to the character's gallery over time.

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Written by AIGEAIGE Studio guides: practical workflows, model choices, and credit costs.

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Starter

The smallest paid step up

$8.55/ month$0.0285 per credit · ≈ $0.28 a day
  • 300 credits a month
  • ≈ 37 HD images, or ≈ 20 five-second clips
  • The whole studio: Canvas, Atelier decks, characters, brand kit
  • A project per brand, with its own files and memory
  • The agent: plans, searches the web, makes, runs on a schedule
  • AIGE inside Claude, ChatGPT, Cursor and n8n over MCP
  • Images to 2K · short video: Kling V3 to 5 s, Veo 3.1 Lite, Omni Flash 360p
  • 3 automations, as often as hourly
  • 60 generations an hour

Premier

For constant publishing

$47/ month$0.0221 per credit · ≈ $1.55 a day
  • 2,130 credits a month
  • ≈ 266 HD images, or ≈ 142 five-second clips
  • Everything in Pro
  • Veo 3.1 Pro at 8 seconds: every video model
  • 150 generations an hour
  • Twice Pro's daily agent budget

Max

Agency volume, the best rate

$230/ month$0.0200 per credit · ≈ $7.57 a day
  • 11,500 credits a month
  • ≈ 1,437 HD images, or ≈ 766 five-second clips
  • Everything in Premier
  • No hourly generation cap
  • Automations every 5 minutes
  • The longest agent runs, five times Pro's daily budget
  • The lowest rate per credit