The most straightforward way to try Nano Banana is through the Gemini app, available on both mobile devices and the web. Once you sign in with your Google account, you can upload photos and apply edits by writing natural language instructions. Both free and paid users can access these features worldwide. Free users get a limited number of generations per day, while paid subscribers benefit from higher limits, faster processing, and better image resolution. Every output includes both a visible watermark and an invisible SynthID digital watermark to ensure transparency that the image was AI-generated.
The popular prompt is like below:
“Use the Nano Banana model to create a 1/7 scale commercialized figure of the character in the illustration, in a realistic style and environment. Place the figure on a computer desk, using a circular transparent acrylic base without any text. On the computer screen, display the ZBrush modeling process of the figure. Next to the screen, place a Bandai-style toy packaging box printed with the original artwork.”
The results are like this:
For developers, Nano Banana is also available through the Gemini API, part of Google’s official GenAI developer platform. With the API, you can programmatically send image generation or editing requests. For example, a script might upload a product photo and issue commands like “remove background and replace with a gradient,” retrieving the edited result in seconds. The API supports multiple modes: text-to-image, image-to-image, multi-image blending, and iterative editing. Developer SDKs in Python, JavaScript, and other languages make it possible to embed these capabilities into websites, mobile apps, or automated workflows. Usage is billed based on requests and image complexity, with quotas depending on the plan.
In addition, Google provides developer tooling and guides to help you get started. Quickstart templates on GitHub show how to build an image editor with Gemini’s API, while tools like Apidog make it easy to test endpoints without writing full code. Beyond the app and API, you can save edited results to Google Photos or Drive, and even re-upload them into Gemini for multi-step editing or to generate short videos. Whether you just want to try a quick edit in the Gemini app or integrate advanced image editing into your own project, Nano Banana is accessible to both casual users and developers.
Production use cases
Teams are already applying Nano Banana in production. A mobile entertainment platform is testing avatar dress-up features where players upload photos and instantly try on in-game accessories. E-commerce brands are using a “shoot once, reuse forever” approach, capturing a single base model image and generating outfit or hairstyle variations instead of running multiple studio shoots.
To make this work at scale, generation needs retrieval. Without it, the model can’t reliably find the right outfits or props from huge media libraries. That’s why many companies pair Nano Banana with Milvus, an open-source vector database that can search billions of images and embeddings. Together, they form a practical multimodal RAG pipeline—search first, then generate.
👉 Read the full tutorial on Nano Banana + Milvus