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Lesson 03 of 10 · published

The Character Workflow

~18 min · workflows, production, l3

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Creating a consistent character across multiple AI-generated images is like casting an actor for a film. You don't just describe "a woman with red hair" and hope she looks the same in every scene. You cast a specific person, photograph them from multiple angles, document their wardrobe, and use those reference materials throughout production. AI character workflows follow the same principle: build the reference sheet before generating any scenes.

Why Characters Drift

Without anchoring, each generation creates a "new person" who roughly matches your description. "Red-haired woman in her 30s" could produce thousands of different faces. Even with the same seed, slight prompt variations cause features to shift. This is called character drift, and it's one of the most frustrating problems in AI content creation.

The Reference Sheet Approach

Step 1: DESIGN THE CHARACTER
  │  Generate multiple face/body options
  │  Select ONE definitive look
  │
  ▼
Step 2: BUILD THE REFERENCE SHEET
  ┌──────┬──────┬──────┐
  │ Front│ 3/4  │ Side │
  │ view │ view │ view │
  ├──────┼──────┼──────┤
  │Smile │Serious│Action│
  │      │      │ pose │
  └──────┴──────┴──────┘
  │
  ▼
Step 3: DOCUMENT ANCHORS
  │  Hair: auburn bob, side part
  │  Eyes: green, almond-shaped
  │  Build: athletic, 170cm
  │  Style: earth tones, minimal jewelry
  │
  ▼
Step 4: GENERATE SCENES
  │  Always include reference image
  │  Always repeat key visual anchors in text
  │  Test consistency across 5+ scenes

Anchoring Strategies

Different models support different anchoring methods:

  • Face/identity reference — Midjourney's Omni Reference, GPT-Image's conversation context, FLUX with IP-Adapter. Feed the model your character's face image directly.
  • Costume anchoring — Describe a distinctive, unusual outfit. "Red leather jacket with brass buttons" is more distinctive (and thus more consistent) than "casual clothing."
  • Hairstyle anchoring — Unusual hairstyles maintain better than common ones. "Asymmetric silver-blonde bob with undercut" drifts less than "brown hair."
  • Descriptive token repetition — Repeat key visual descriptors in every prompt. If your character has "a thin scar across the left eyebrow," include that phrase every time.
Key Takeaways
  • Always build a reference sheet before generating character scenes. The reference is the source of truth, not the text description.
  • Use multiple anchoring strategies simultaneously: face reference + costume + distinctive features + descriptive repetition.
  • Distinctive, unusual visual traits maintain consistency better than generic descriptions.

Code

The Character Workflow — example·json
{
  "character_sheet": {
    "name": "Project: Luna",
    "visual_anchors": {
      "face": "reference_luna_face_01.png",
      "hair": "auburn asymmetric bob, copper highlights",
      "eyes": "deep green, cat-eye liner",
      "build": "athletic, tall",
      "signature_item": "vintage brass compass pendant",
      "color_palette": "earth tones, olive, amber, cream"
    },
    "always_include_in_prompt": "auburn asymmetric bob, green eyes, brass compass pendant, earth-toned clothing",
    "reference_images": [
      "luna_front.png",
      "luna_threequarter.png",
      "luna_profile.png"
    ]
  }
}

External links

Exercise

Design a character (face, costume, distinctive features). Build a 3-pose reference sheet. Then place the character in 5 different scenes using face anchoring + costume + descriptive consistency. Score the drift across all 5.

Progress

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