Gemini AI Book Photography: Create Photorealistic Book Covers and Interior Images with Nano Banana — 75 Copy-Paste Prompts and Print-Ready KDP Specs (No Camera, No Designer, No Photoshop)
Language: English
Published by Independently published, 2026
- Softcover
- New

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- Title
- Gemini AI Book Photography: Create Photorealistic Book Covers and Interior Images with Nano Banana — 75 Copy-Paste Prompts and Print-Ready KDP Specs (No Camera, No Designer, No Photoshop)
- Author
- Reign, Marcus
- Publisher
- Independently published
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798172786228
Every guide to AI book covers on this shelf is out of date. Here is the one written for the model you are actually using.
It is midnight. Your manuscript has been done for three weeks. The only thing between you and a live listing is a picture — and the one you just generated has six fingers, melted skin, and a sign in the background with letters that are almost English.
You did not do it wrong. You wrote a shopping list. The model needed a brief.
Google shut down its entire Imagen family in August 2026. The best-known author guides still teach Midjourney and DALL-E. Meanwhile Nano Banana 2 (Gemini 3.1 Flash Image) quietly moved the three things that made AI covers look like AI covers: it renders in-scene text far more legibly than its predecessors, it holds a character close enough across images to make a series read as a set, and it outputs at 4K in the exact 2:3 proportion of a 6x9 book.
This is the first book that teaches that model to people who publish books.
What you will be able to do by the last page
Produce a complete, print-ready set of photorealistic images for your own book — a front cover, a full paperback wrap with correct spine and bleed, and interior images that survive black-ink printing — in a single working day, without hiring a photographer or a designer.
Inside
- The 12-block Master Prompt — the brief that replaces keyword-stuffing, printed in full and ready to copy
- The 14 tells that make an image read as AI, each with the exact positive phrasing that removes it — plastic skin, dead eyes, melted architecture, garbled signage, hands
- 8 lighting setups a commercial photographer would actually build, written as paste-ready text
- Composition that survives the thumbnail — reserve the space your title needs before the image exists, plus the 150-pixel test that catches a failed cover in two minutes
- Series consistency — the Character Bible and Style Lock method that makes six covers read as one set
- The print chapter nobody else writes — spine-width multipliers, bleed, safe zones, CMYK, the 1,838 x 2,775 pixel target, and why the DPI number in your file means nothing
- Interior images for black ink — including the royalty math showing why a colour interior at $6.99 is arithmetically impossible
- Repair instead of regenerate — the three-part grammar that stops you throwing away a good image to fix one hand
- Disclosure, rights, and the reader objection — what KDP's AI policy actually says, what Google's terms actually grant, and an honest look at both the 2024 survey where 80% of readers rejected AI covers and the 2026 reader poll where the AI-assisted cover came first
- 75 copy-paste components — 12 complete genre covers, 15 lighting modules, 10 composition modules, 12 repair prompts, and more
- A 30-day plan that turns the whole book into a checklist
What this book does not do
It does not teach typography or Photoshop. It does not promise sales, rankings, or income. It offers no way around Amazon's disclosure rule — it teaches you to answer it correctly in four seconds. And it does not pretend a good designer is worthless: it gives you either a finished cover for a book that could not otherwise afford one, or a brief so specific the designer you hire gets it right first time.
Every price, model name, limit, and specification was verified against Google's and Amazon's own documentation in September 2026 — and where a fact could not be verified, this book says so instead of guessing.
Scroll up and start with the model you are actually using. There is a good chance it is not the one you think.
"Synopsis" may belong to another edition of this title.
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