Nano Banana

Nano Banana

Image generation and editing model...

4.0· Editor Rating
Google
United States

Editor Review

For a poster with a title, write the subject, layout, and required words first, then change the aspect ratio for the channel. On-image text can become titles, labels, or step captions, and in-image translation can swap the language on a package while leaving the product look in place. Reference images can be combined into a new scene, with people and clothing kept as close as possible to the originals. Resolution can be raised to the levels listed on the page, and both landscape and portrait ratios are available. The site warns that small faces, spelling, and fine detail can still fail, data in infographics can be wrong, and large lighting changes or blends can look unnatural. It fits design, marketing, and content teams who check words and facts before publishing.

AI Tools Navigator Editorial TeamUpdated: 2026-10-09

What is Nano Banana

Nano Banana Pro is an image generation and editing model from Google DeepMind. It creates posters, infographics, product mockups, and storyboards from written instructions, and it also edits existing images. The page shows clear text in images, translation of text already inside a picture, lighting and shot changes, and keeping the look of several people and objects in one workflow. Sketches can become objects or buildings, and several reference images can be combined. Images it generates or edits carry a SynthID watermark. The page does not list a price.

Basic Info

Category:
Company:Google
Country:United States

Best For

Brand and graphic designersMarketing visual teamsEditors who make infographics

Difficulty: Intermediate

Nano Banana Key Features

  • Legible text in images

    It can place readable text on posters, diagrams, and product mockups, including a requested font or handwriting, for titles, labels, and step notes.

  • Translate text inside images

    It translates text already in an image while trying to leave the rest of the picture unchanged, for posters and packaging in other locales.

  • Lighting and shot changes

    It can switch day and night, change light direction and depth of field, and pick wide or close shots so one asset fits different frames.

  • Keep people and objects consistent

    In one workflow it can keep the look of several people and objects and place them in a new scene, outfit, or combined composition.

  • Sketches into mockups

    It can turn a sketch into a product, piece of furniture, vehicle, or building, then extend that into a set of identity and material mockups.

Nano Banana Key Advantages

  • Posters and packaging mockups can generate or replace the words inside the image
  • A sketch can become a product, building, or logo and then a set of mockups
  • Several reference images can be combined while trying to lock people and clothing
  • Outputs carry a SynthID watermark, which helps show that this model created or edited them

Nano Banana Use Cases

  • Relocalize a poster

    A brand designer swaps the slogan on an existing package or poster into another language while keeping the can and layout.

  • Draw a step-by-step infographic

    An editor describes a process or principle in text, generates an annotated infographic, and then checks each fact.

  • Explore boards and mockups

    A creative team uses a set of prompts to draft a storyboard, or turns a sketch into a product mockup for discussion.

Frequently Asked Questions

▶What can it change on an image I already have?

The site demonstrates replacing on-image text, translating package copy, turning day into night, and changing depth of field and aspect ratio. When editing, write down what must stay. It also says complex blends and large lighting changes may look unnatural, and spelling still needs a human check.

▶How can I tell if this model made or edited an image?

The site says the images include a hard-to-see SynthID watermark so people can check whether this model generated or edited them. The watermark does not replace looking at the picture. Small text, data, localized wording, numbers in step diagrams, and proper names can still be wrong and should be checked again before publishing.

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