> For the complete documentation index, see [llms.txt](https://docs.aimlapi.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aimlapi.com/api-references/image-models/google/gemini-3.1-flash-lite-image.md).
# Nano Banana 2 Lite
{% columns %}
{% column width="66.66666666666666%" %}
{% hint style="info" %}
This documentation is valid for the following list of our models:
* `google/gemini-3-1-flash-lite-image`
{% endhint %}
{% endcolumn %}
{% column width="33.33333333333334%" %} Try in Playground
{% endcolumn %}
{% endcolumns %}
## Model Overview
Nano Banana 2 Lite is a cost-efficient text-to-image model from Google, a lighter and cheaper variant of Nano Banana 2 for high-volume image generation.
{% hint style="success" %}
[Create AI/ML API Key](https://aimlapi.com/app/keys)
{% endhint %}
How to make the first API call
**1️⃣ Required setup (don’t skip this)**\
▪ **Create an account:** Sign up on the AI/ML API website (if you don’t have one yet).\
▪ **Generate an API key:** In your account dashboard, create an API key and make sure it’s **enabled** in the UI.
**2️ Copy the code example**\
At the bottom of this page, pick the snippet for your preferred programming language (Python / Node.js) and copy it into your project.
**3️ Update the snippet for your use case**\
▪ **Insert your API key:** replace `` with your real AI/ML API key.\
▪ **Select a model:** set the `model` field to the model you want to call.\
▪ **Provide input:** fill in the request input field(s) shown in the example.
**4️ (Optional) Tune the request**\
See the API schema below for optional generation settings.
**5️ Run your code**\
Run the updated code in your development environment.
{% hint style="success" %}
For a detailed walkthrough, use our [Quickstart guide](https://docs.aimlapi.com/quickstart/setting-up).
{% endhint %}
## API Schema
## POST /v1/images/generations
>
```json
{"openapi":"3.0.0","info":{"title":"AIML API","version":"1.0.0"},"servers":[{"url":"https://api.aimlapi.com"}],"paths":{"/v1/images/generations":{"post":{"operationId":"_v1_images_generations","requestBody":{"required":true,"content":{"application/json":{"schema":{"type":"object","properties":{"model":{"type":"string","enum":["google/gemini-3-1-flash-lite-image"]},"prompt":{"type":"string","description":"The text prompt describing the content, style, or composition of the image to be generated."},"image_urls":{"type":"array","items":{"type":"string","format":"uri"},"maxItems":5,"description":"List of URLs or local Base64 encoded images to edit."},"aspect_ratio":{"type":"string","enum":["1:1","9:16","16:9","3:4","4:3"],"description":"The aspect ratio of the generated image. It is taken from this parameter or from the provided reference image. If the parameter is not set and no reference image is provided, the default value is 16:9."},"resolution":{"type":"string","enum":["1K","2K","4K"],"default":"1K","description":"The resolution of the output image."},"enable_web_search":{"type":"boolean","default":false,"description":"Enable web search for the image generation task. This will allow the model to use the latest information from the web to generate the image."}},"required":["model","prompt"],"title":"google/gemini-3-1-flash-lite-image"}}}},"responses":{"200":{"content":{"application/json":{"schema":{"type":"object","properties":{"data":{"type":"array","nullable":true,"items":{"type":"object","properties":{"url":{"type":"string","nullable":true,"description":"The URL where the file can be downloaded from."},"b64_json":{"type":"string","nullable":true,"description":"The base64-encoded JSON of the generated image."}}},"description":"The list of generated images."},"meta":{"type":"object","nullable":true,"properties":{"usage":{"type":"object","nullable":true,"properties":{"credits_used":{"type":"number","description":"The number of tokens consumed during generation."},"usd_spent":{"type":"number","description":"The total amount of money spent by the user in USD."}},"required":["credits_used","usd_spent"]}},"description":"Additional details about the generation."}}}}},"description":"Successful response."}}}}}}
```
## Code Example
{% tabs %}
{% tab title="Python" %}
{% code overflow="wrap" %}
```python
import requests
response = requests.post(
"https://api.aimlapi.com/v1/images/generations",
headers={
"Authorization": "Bearer ",
"Content-Type": "application/json",
},
json={'model': 'google/gemini-3-1-flash-lite-image', 'prompt': 'Describe what you want the model to generate.'},
)
print(response.json())
```
{% endcode %}
{% endtab %}
{% tab title="JavaScript" %}
{% code overflow="wrap" %}
```javascript
const response = await fetch('https://api.aimlapi.com/v1/images/generations', {
method: 'POST',
headers: {
'Authorization': 'Bearer ',
'Content-Type': 'application/json',
},
body: JSON.stringify({
"model": "google/gemini-3-1-flash-lite-image",
"prompt": "Describe what you want the model to generate."
}),
});
console.log(await response.json());
```
{% endcode %}
{% endtab %}
{% endtabs %}
Response
{% code overflow="wrap" %}
```json
{
"data": [
{
"url": "https://cdn.aimlapi.com/generations/hedgehog/1749730923700-29fe35d2-4aef-4bc5-a911-6c39884d16a8.png",
"b64_json": null
}
],
"meta": {
"usage": {
"credits_used": 120000,
"usd_spent": 0.06
}
},
"model": "google/gemini-3-1-flash-lite-image"
}
```
{% endcode %}
---
# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:
```
GET https://docs.aimlapi.com/api-references/image-models/google/gemini-3.1-flash-lite-image.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.