Tuesday, November 10, 2026 Independent reporting on artificial intelligence Newsletter
AI News Beats
AI Tools

Google shares seven prompting tips for Nano Banana Pro image generation

Google's guidance for its Gemini 3 based image model covers scene-setting, camera and lighting detail, multilingual text, image blending, editing commands and brand consistency.

DSLR camera
Photo: ShareGrid / Unsplash

Google has published guidance on how to get the most out of Nano Banana Pro, the image generation and editing model it built on Gemini 3 Pro. The company says the model improves text rendering, draws on broader world knowledge, offers more creative controls and can combine several input images into one result. It is available in the Gemini app, Google AI Studio and Vertex AI.

Google’s advice boils down to seven principles. They are useful for anyone producing marketing material, storyboards or design assets, and most of them apply to other image models as well.

1. Treat every image as the start of a story

Describe the subject, the characters, the setting, the location and the style. According to Google, strong results come from prompts that make clear who is in the scene, what is happening, where it takes place and how it should look. That structure is what turns an idea into a usable image.

2. Do not skip the technical details

For professional-looking output, Google recommends specifying camera angle, direction of light, depth of field, color mood and aspect ratio. A short prompt works, but a detailed one produces images closer to what a photographer or cinematographer would plan.

3. Use any language, and localize

Nano Banana Pro handles text in multiple languages, Google says. Users can render text in a chosen language, translate words that appear inside an image, and adapt a single design for different markets. For brands and designers producing global campaigns, that removes a step that previously required manual rework.

4. Blend multiple images

The model can take several separate images as input and merge them into a coherent composition, which suits storyboards, infographics and complex artwork. Google says the model preserves detail across the combined inputs, whether the scene is a fictional character or a scientific diagram.

5. Keep editing instructions short and direct

When changing an existing image, whether swapping the background, recoloring an object, turning day into night or shifting the focal point, Google advises plain and specific instructions. The company says Nano Banana Pro follows such edits more precisely than its predecessor.

6. Pick the format for the platform

The model produces high-resolution output in a range of aspect ratios, including 9:16, 1:1 and 21:9, so the same concept can be prepared for vertical social video, square posts or wide banners without starting over.

7. Maintain brand identity across assets

For brand work, Google says the model can keep a consistent visual identity across logos, patterns, typography, packaging, billboards, posters and interface mockups. Consistency of that kind is the basis of professional design systems, and generating it from one set of references is the feature Google is pushing hardest to agencies.

Known limitations

Google acknowledges that the model is not flawless. Small text can come out blurry, complicated lighting or heavy edits can look artificial, long words are sometimes misspelled, and a character’s face may not stay identical from one frame to the next. These are familiar weaknesses across current image models, and Google says it is working on them.

The broader shift Google is describing is that image creation now depends less on manual skill and more on how clearly a person can describe what they want. The seven tips above are, in effect, a guide to that description.

Stay on top of AI

Get the stories that matter in artificial intelligence, straight to your inbox.

Free. One email with the stories that matter. Unsubscribe any time. See our privacy policy.