# Source: https://docs.aimlapi.com/api-references/image-models/google/gemini-2.5-flash-image.md

# Gemini 2.5 Flash Image (Nano Banana)

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

* `google/gemini-2.5-flash-image`
  {% endhint %}
  {% endcolumn %}

{% column width="33.33333333333334%" %} <a href="https://aimlapi.com/app/google/gemini-2-5-flash-image" class="button primary">Try in Playground</a>
{% endcolumn %}
{% endcolumns %}

## Model Overview <a href="#model-overview" id="model-overview"></a>

Google’s smartest image generation model as of August 2025.

{% hint style="info" %}
Images produced or modified with Gemini 2.5 Flash Image carry an invisible SynthID digital watermark, allowing them to be recognized as AI-generated or edited.
{% endhint %}

## Setup your API Key <a href="#setup-your-api-key" id="setup-your-api-key"></a>

If you don’t have an API key for the AI/ML API yet, feel free to use our [Quickstart guide](https://docs.aimlapi.com/quickstart/setting-up).

## 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-2.5-flash-image"]},"prompt":{"type":"string","description":"The text prompt describing the content, style, or composition of the image to be generated."},"num_images":{"type":"number","minimum":1,"maximum":4,"default":1,"description":"The number of images to generate."},"aspect_ratio":{"type":"string","enum":["21:9","1:1","4:3","3:2","2:3","5:4","4:5","3:4","16:9","9:16"],"default":"1:1","description":"The aspect ratio of the generated image."}},"required":["model","prompt"],"title":"google/gemini-2.5-flash-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."}},"required":["credits_used"]}},"description":"Additional details about the generation."}}}}}}}}}}}
```

## Quick Example

Let's generate an image of the specified aspect ratio using a simple prompt.

{% tabs %}
{% tab title="Python" %}
{% code overflow="wrap" %}

```python
import requests
import json

def main():
    response = requests.post(
        "https://api.aimlapi.com/v1/images/generations",
        headers={
            # Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
            "Authorization": "Bearer <YOUR_AIMLAPI_KEY>",
            "Content-Type": "application/json",
        },
        json={
            "model": "google/gemini-2.5-flash-image",
            "prompt": "Racoon eating ice-cream"
        }
    )

    data = response.json()
    print(json.dumps(data, indent=2, ensure_ascii=False))

if __name__ == "__main__":
    main()
```

{% endcode %}
{% endtab %}

{% tab title="JS" %}
{% code overflow="wrap" %}

```javascript
async function main() {
  const response = await fetch('https://api.aimlapi.com/v1/images/generations', {
    method: 'POST',
    headers: {
      // Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
      'Authorization': 'Bearer <YOUR_AIMLAPI_KEY>',
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      model: 'google/gemini-2.5-flash-image',
      prompt: 'Racoon eating ice-cream',
      aspect_ratio: '16:9'
    }),
  });

  const data = await response.json();
  console.log(data);
}

main();
```

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

<details>

<summary>Response</summary>

{% code overflow="wrap" %}

```json5
{
  images: [
    {
      url: 'https://cdn.aimlapi.com/eagle/files/zebra/VVpZmbuvMBg3k7OqJ8UnP.jpeg',
      content_type: 'image/jpeg',
      file_name: 'output.jpeg',
      file_size: null
    }
  ],
  description: "Sounds adorable! Here's a racoon enjoying some ice cream: "
}
```

{% endcode %}

</details>

So we obtained the following 1024x1024 image by running this code example:

<figure><img src="https://3927338786-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FROMd1X5PuqtikJ48n2N9%2Fuploads%2Fgit-blob-b7d31f5619502df2e5b2e05e8388b299e39ae26c%2FLtdy-0QLZAnyBGLRyh-pP.jpeg?alt=media" alt=""><figcaption><p>In reality, raccoons shouldn’t be given ice cream or chocolate—it’s harmful to their metabolism.<br>But in the AI world, raccoons party like there’s no tomorrow.</p></figcaption></figure>