# flux/schnell

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

* `flux/schnell`
  {% endhint %}
  {% endcolumn %}

{% column width="33.33333333333334%" %} <a href="https://aimlapi.com/app/flux/schnell" class="button primary">Try in Playground</a>
{% endcolumn %}
{% endcolumns %}

## Model Overview

A state-of-the-art text-to-image generation model designed to create high-quality images from textual descriptions. With a robust architecture of 12 billion parameters, it leverages advanced techniques to produce images that rival those generated by leading closed-source models.

<table data-full-width="true"><thead><tr><th width="191" valign="top">Model</th><th>Generated image properties</th></tr></thead><tbody><tr><td valign="top"><code>flux/schnell</code></td><td>Format: <strong>PNG</strong><br>Min size: <strong>64</strong>x<strong>64</strong><br>Max size: <strong>1536</strong>x<strong>1536</strong><br>Default size: <strong>1024</strong>x<strong>768</strong><br>For both height and width, the value must be a multiple of 32.</td></tr></tbody></table>

## Setup your API Key

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":["flux/schnell"]},"prompt":{"type":"string","maxLength":4000,"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."},"seed":{"type":"integer","minimum":1,"description":"The same seed and the same prompt given to the same version of the model will output the same image every time."},"image_size":{"anyOf":[{"type":"object","properties":{"width":{"type":"integer","minimum":64,"maximum":1536,"default":1024},"height":{"type":"integer","minimum":64,"maximum":1536,"default":768}},"description":"For both height and width, the value must be a multiple of 32."},{"type":"string","enum":["square_hd","square","portrait_4_3","portrait_16_9","landscape_4_3","landscape_16_9"],"description":"The size of the generated image."}],"default":"landscape_4_3"},"num_inference_steps":{"type":"integer","minimum":1,"description":"The number of inference steps to perform."},"enable_safety_checker":{"type":"boolean","default":true,"description":"If set to True, the safety checker will be enabled."}},"required":["model","prompt"],"title":"flux/schnell"}}}},"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 size using a simple prompt.

{% hint style="warning" %}
The minimum size is `64x64`, and the minimum is `1536x1536`.\
The width and height value must be a multiple of 32.
{% endhint %}

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

```python
import requests
import json  # for getting a structured output with indentation

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": "flux/schnell",
            "prompt": "A T-Rex relaxing on a beach, lying on a sun lounger and wearing sunglasses.",
        }
    )

    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: 'flux/schnell',
      prompt: 'A T-Rex relaxing on a beach, lying on a sun lounger and wearing sunglasses.',
    }),
  });

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

main();
```

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

<details>

<summary>Response</summary>

{% code overflow="wrap" %}

```json5
Generation: {'images': [{'url': 'https://cdn.aimlapi.com/eagle/files/lion/dSqd5BMP3pfaiKEnFXiiE.png', 'width': 1440, 'height': 512, 'content_type': 'image/png'}], 'timings': {'inference': 0.3458922009449452}, 'seed': 454423425, 'has_nsfw_concepts': [False], 'prompt': 'A T-Rex relaxing on a beach, lying on a sun lounger and wearing sunglasses.'}
```

{% endcode %}

</details>

We obtained the following 1440x512 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-49c57ead66487483e0f2a03db3453341e287f959%2FdSqd5BMP3pfaiKEnFXiiE.png?alt=media" alt=""><figcaption><p><code>'A T-Rex relaxing on a beach, lying on a sun lounger and wearing sunglasses.'</code></p></figcaption></figure>