> 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/nano-banana-2.1.md).

# Nano Banana 2.1

{% columns %}
{% column width="66.66666666666666%" %}
{% hint style="info" %}
This documentation is valid for the following list of our models:

* `google/gemini-nano-banana-2.1`
  {% endhint %}
  {% endcolumn %}

{% column width="33.33333333333334%" %} <a href="https://aimlapi.com/app/google/gemini-nano-banana-2.1" class="button primary">Try in Playground</a>
{% endcolumn %}
{% endcolumns %}

## Model Overview

Nano Banana 2.1 is an update to Nano Banana 2 (Gemini 3.1 Flash Image) for fast image generation and conversational editing, with improved visual quality, text rendering, multi-turn consistency and Google Search grounding at 1K, 2K and 4K.

{% hint style="success" %}
[Create AI/ML API Key](https://aimlapi.com/app/keys)
{% endhint %}

<details>

<summary>How to make the first API call</summary>

**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 `<YOUR_AIMLAPI_KEY>` 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 %}

</details>

## 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-nano-banana-2.1"]},"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-nano-banana-2.1"}}}},"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 <YOUR_AIMLAPI_KEY>",
        "Content-Type": "application/json",
    },
    json={'model': 'google/gemini-nano-banana-2.1', '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 <YOUR_AIMLAPI_KEY>',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
  "model": "google/gemini-nano-banana-2.1",
  "prompt": "Describe what you want the model to generate."
}),
});

console.log(await response.json());
```

{% endcode %}
{% endtab %}
{% endtabs %}

<details>

<summary>Response</summary>

{% 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-nano-banana-2.1"
}
```

{% endcode %}

</details>


---

# Agent Instructions
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## 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 following URL with the `ask` and `goal` query parameters:

```
GET https://docs.aimlapi.com/api-references/image-models/google/nano-banana-2.1.md?ask=<question>&goal=<user_goal>
```

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`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `build a script that syncs our docs to a CMS` lets GitBook tailor the answer to that use case.

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