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)
- Scaffold beats stacking adjectives
- Explicit rails beat vibes
- Short loops beat mega-prompts
- Repeat the untouchables
Elite prompts answer do / don’t / must-stay simultaneously.
👉 Use the workspace continuity flow to ship serialized picture-book worlds.
Get started with GPT-image2