NanoBanana 2 API

NanoBanana 2 API (also referred to on the page as Banana 2 API) is a developer-oriented AI image generation API service that provides programmatic access to the Banana 2 image generation model. Through standard HTTP requests, developers can generate high-quality, photorealistic images from text prompts and integrate them into any application, website, or workflow.

1. Purpose and Positioning The service is positioned as "the most developer-friendly AI image generation API," with the core goal of embedding AI image generation capabilities directly into existing products and automated workflows, such as embedded generation in SaaS products, batch production of e-commerce and marketing materials, and game asset creation. The official description states it can help reduce visual material production costs by about 90% (this figure comes from the official description).

2. Main Capabilities

• RESTful interface design: a single endpoint and a single request can obtain a generated image, using standard HTTP methods and consistent JSON responses, with complete error codes and idempotent operations.
• Generation speed: the official description states that images are usually returned within 10 seconds; actual inference time depends on resolution and complexity settings.
• Image quality: the official description states it can generate hyper-realistic images with precise prompt adherence, and output can reach 4K level.
• Resolution and aspect ratio: supports multiple output resolutions from 512×512 to 4K, and aspect ratio and exact dimensions can be specified in the request; common presets include 1:1, 16:9, 9:16, 4:3, 3:4, and the official listing also includes 3:2, 2:3, 4:5, 5:4, 21:9, and supports 1K, 2K, and 4K resolution options.
• Generation modes: supports both text-to-image and image-to-image modes, and reference images can be uploaded for style transfer, editing, or generating variations (using the same endpoint with additional parameters).
• Batch and concurrency: supports sending multiple concurrent requests for batch generation; each request returns a task ID, and completion status can be polled, making it suitable for batch operations such as product catalogs and content libraries.
• Automatic scaling: the official description states that the infrastructure can scale automatically, handling thousands of concurrent requests from prototype to production.

1. How to Use
2. Obtain an API key: after free registration, generate an API key from the console; no credit card is required, and the official description states the registration process takes less than 30 seconds.
3. Send a request: send a POST request to the Banana 2 API endpoint with the prompt and parameters, and receive a task ID for status polling.
4. Receive the image: poll the status endpoint (the official recommendation is to poll /api/status at intervals of 2-3 seconds; most text-to-image tasks complete within 10 seconds, while editing tasks may take slightly longer; polling more than once per second is not recommended in order to comply with rate limits), imageDownload, display, or process it in a workflow once ready. Authentication is done by passing the API key as a Bearer Token in the request header. Keys can be generated and managed in the console and can be scoped by permission to enhance security. The API is language-agnostic, and any programming language capable of making HTTP requests can use it; official code examples and SDKs are provided for Python, Node.js, JavaScript, cURL, and more.

IV. Use Cases

• SaaS products: Embed AI image generation directly into products so users can create visual content without leaving the application.
• E-commerce: Batch-generate product photos, lifestyle scene images, and marketing visuals.
• Marketing automation: Automatically generate social media creatives, ad banners, and email visuals through marketing workflows.
• Game development: Programmatically create concept art, textures, character illustrations, and environmental assets.

V. Pricing and Credits A simple credit-based pricing model is used: each image generation consumes a fixed number of credits based on resolution. New accounts receive free credits and can start generating immediately without a credit card; for higher usage, pay-as-you-go plans are available. The official description says billing is per image, transparent, with no hidden fees and no minimum spending commitment. Failed requests do not consume credits. Free-tier accounts have reasonable rate limits to ensure fair use, paid plans provide significantly higher rate limits and support thousands of concurrent requests, and enterprise plans can request custom rate limits.

VI. Security and Compliance The official description states that it provides API key authentication, HTTPS encryption, rate limiting, and GDPR-compliant data processing, and that data does not leave its secure infrastructure. All generated images come with a commercial license and can be used in products, marketing materials, websites, and applications, among other uses, without additional licensing fees.

VII. Error Handling The API returns standard HTTP status codes and detailed error information in JSON format. Common errors include invalid prompt (400), authentication failure (401), rate limit exceeded (429), and server error (500).

VIII. Limitations and Notes Regarding specific credit unit prices, the number of free credits, the credits required for each resolution, the specific values of rate limits, details of the model's underlying architecture, and the complete list of SDKs, the official page does not currently provide clear data. Actual inference time and output quality may be affected by resolution, complexity settings, and the number of reference images.