Original document
GPT Image 2 · en
Scene:
Create a square picture-book cover mockup centered on a single upright book against a soft studio backdrop, with gentle spotlighting and printed-paper realism. The cover should feel modern, warm, and distinctly for young children, leaving obvious blank space for future title treatment. Keep the square frame balanced, calm, and production-ready so the asset can serve gallery review, research comparison, and real educational delivery at the same time.
Subject:
Use an inviting scene of a child and animal companion in a story-rich environment, composed boldly enough for retail shelf recognition but soft enough for bedtime reading appeal. Keep the illustration painterly, emotionally warm, and structured like a real publishing deliverable. The subject arrangement should feel complete and self-contained, able to stand alone as a real supporting deliverable inside the same education business line.
Important details:
The design should prioritize silhouette clarity, age-appropriate charm, and a clear focal relationship between characters and world. Avoid decorative overload so the asset reads as a commercially viable cover rather than a generic fantasy illustration. Keep the visual hierarchy modular, commercially believable, and clearly tied to a real educational use case rather than a generic mood board.
Use case:
Children Storybook Scene Page System single study 1/5, story cover board.
Constraints:
No readable text, no watermark, no logos, preserve exact 1:1 aspect ratio, no readable text, no logos, no harsh realism, no licensed character resemblance, no cluttered scrapbook styling, no horror elements.How to use
- Copy the complete original prompt, including any parameters.
- Replace the subject, text and composition with your own requirements.
- Use a compatible external tool; check its current access conditions and review the result.
Before you start
- Check whether a reference image is required. A compatible model label does not mean this example was generated with that model.
- Keep names, figures and visible text accurate; results can vary between model versions.
