flux/schnell

This documentation is valid for the following list of our models:

• flux/schnell

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.

Model	Generated image properties
flux/schnell	Format: PNG Min size: 64x64 Max size: 1536x1536 Default size: 1024x768 For both height and width, the value must be a multiple of 32.

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.

API Schema

post

Authorizations

Body

modelundefined · enumRequiredPossible values:

image_sizeany ofOptionalDefault: landscape_4_3

or

string · enumOptional

The size of the generated image

Possible values:

num_inference_stepsinteger · min: 1 · max: 12Optional

The number of inference steps to perform

enable_safety_checkerbooleanOptional

If set to true, the safety checker will be enabled

Default: true

promptstring · max: 4000Required

The prompt to generate an image from

num_imagesnumber · min: 1 · max: 4Optional

The number of images to generate

Default: 1

seedinteger · min: 1Optional

The same seed and the same prompt given to the same version of the model will output the same image every time

Responses

201Success

post

HTTPcURLJavaScriptPython

POST /v1/images/generations HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer <YOUR_AIMLAPI_KEY>
Content-Type: application/json
Accept: */*
Content-Length: 146

{
  "model": "flux/schnell",
  "image_size": "landscape_4_3",
  "num_inference_steps": 1,
  "enable_safety_checker": true,
  "prompt": "text",
  "num_images": 1,
  "seed": 1
}

201Success

No content

Quick Example

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

The minimum size is 64x64, and the minimum is 1536x1536. The width and height value must be a multiple of 32.

Python

import requests


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={
            "prompt": "A T-Rex relaxing on a beach, lying on a sun lounger and wearing sunglasses.",
            "model": "flux/schnell",
            "image_size": {
                "width": 1440,
                "height": 512
            }
        }
    )

    response.raise_for_status()
    data = response.json()

    print("Generation:", data)


if __name__ == "__main__":
    main()

JS

async function main() {
  try {
    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({
        prompt: 'A T-Rex relaxing on a beach, lying on a sun lounger and wearing sunglasses.',
        model: 'flux/schnell',
        image_size: {
          width: 1440,
          height: 512
        }
      }),
    });

    if (!response.ok) {
      throw new Error(`HTTP error! Status: ${response.status}`);
    }

    const data = await response.json();
    console.log('Generation:', data);

  } catch (error) {
    console.error('Error:', error);
  }
}

main();

Response

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.'}

We obtained the following 1440x512 image by running this code example:

'A T-Rex relaxing on a beach, lying on a sun lounger and wearing sunglasses.'