Tutorial

GPT Image 2 character consistency: Picture books + checklist

Two-step anchoring for multi-page books, an 8-item pre-flight checklist, and four principles for stable series illustrations.

GPTImage2 hk

Series illustration fails when characters morph. Anchor looks with GPT Image 2 plus a closing checklist from this series.

Series(I) Model selection & parameters · (II) Prompt basics · (III) Advanced prompt techniques · (IV) Generation use cases · (V) Editing use cases

6.4 Picture books: keep the hero identical

Step 1 — Character anchor

Mint a canonical “casting sheet” still: lock

  • Silhouette, wardrobe, palette
  • Temperament / energy

Example: emerald hood ranger, walnut boots, satchel, kind guardian of woodland critters.

Every later spread references this sheet as law.

Step 2 — Story beats without drift

Keep feeding the same reference image. Reiterate in text:

  • Same costume geometry + facial reads
  • Same proportions + personality
  • Only shift scene, blocking, plot motion

Sample line: “Snowy forest—ranger nurses an injured squirrel” while hood + boots stay locked.

Final checklist

Before every render/edit:

  • Named the deliverable category (infographic / ad / portrait / book spread)?
  • Documented scene · subject · hero details?
  • Separated mutable vs immutable zones?
  • Quoted on-image text + placement hints?
  • Picked the right quality tier for this pass?
  • Explained Image 1 / 2 / 3 when multi-plate?
  • Only one creative lever this iteration?
  • If it drifted, did I re-broadcast invariants?

Four principles (whole series)

  1. Scaffold beats stacking adjectives
  2. Explicit rails beat vibes
  3. Short loops beat mega-prompts
  4. Repeat the untouchables

Elite prompts answer do / don’t / must-stay simultaneously.

👉 Use the workspace continuity flow to ship serialized picture-book worlds.

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