gen3a_turbo

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

• gen3a_turbo

Overview

An advanced AI model designed for converting images into high-quality videos. It allows users to generate dynamic video content with smooth motion and detailed textures from still images or text prompts, significantly enhancing creative workflows in multimedia production.

Each generation costs 525 000 AI/ML Tokens.

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.

How to Make a Call

Generating a video using this model involves sequentially calling two endpoints:

• The first one is for creating and sending a video generation task to the server (returns a generation ID).

• The second one is for requesting the generated video from the server using the generation ID received from the first endpoint.

Below, you can find two corresponding API schemas and an example that combines both endpoint calls.

API Schemas

Video Generation

You can generate a video using this API. In the basic setup, you need only a prompt and the aspect ratio of the desired result.

post

Authorizations

Body

modelundefined · enumRequiredAvailable options:

promptstring · max: 512Optional

A non-empty string up to 512 UTF-16 code points in length. This should describe in detail what should appear in the output.

image_urlstring · uriRequired

A HTTPS URL or data URI containing an encoded image to be used as the first frame of the generated

last_image_urlstring · uriOptional

A HTTPS URL or data URI containing an encoded image to be used as the last frame of the generated

durationany ofOptional

The number of seconds of duration for the output video

Default: 10

ratiostring · enumOptional

The aspect ratio of the generated video

Available options:

seedinteger · max: 4294967295Optional

If unspecified, a random number is chosen. Varying the seed integer is a way to get different results for the same other request parameters. Using the same seed integer for an identical request will produce similar results

watermarkbooleanOptional

A boolean indicating whether or not the output video will contain a Runway watermark.

Responses

application/json

objectOptional

post

HTTPcURLJavaScriptPython

POST /v2/generate/video/runway/generation HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer <YOUR_AIMLAPI_KEY>
Content-Type: application/json
Accept: */*
Content-Length: 166

{
  "model": "gen3a_turbo",
  "prompt": "text",
  "image_url": "https://example.com",
  "last_image_url": "https://example.com",
  "duration": 5,
  "ratio": "16:9",
  "seed": 1,
  "watermark": true
}

default

{
  "id": "a12b3456-7c89-0de1-23f4-g567d584f98d",
  "status": "queued"
}

Retrieve the generated video from the server

get

Authorizations

Query parameters

generation_idstringRequired

Generation ID

Example: a12b3456-7c89-0de1-23f4-g567d584f98d

Responses

application/json

all ofOptional

get

HTTPcURLJavaScriptPython

GET /v2/generate/video/runway/generation HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer <YOUR_AIMLAPI_KEY>
Accept: */*

default

{
  "id": "a12b3456-7c89-0de1-23f4-g567d584f98d",
  "status": "queued",
  "video": [
    "https://example.com"
  ]
}

Example

Ensure you replace <YOUR_AIMLAPI_KEY> with your actual API key before running the code.

Python

import requests


def main():
    url = "https://api.aimlapi.com/v2/generate/video/runway/generation"
    payload = {
        "model": "gen3a_turbo",
        "prompt": "A jellyfish in the ocean",
        "ratio": "16:9",
        "image_url": "https://upload.wikimedia.org/wikipedia/commons/3/35/Maldivesfish2.jpg",
    }
    headers = {"Authorization": "Bearer <YOUR_AIMLAPI_KEY>", "Content-Type": "application/json"}

    response = requests.post(url, json=payload, headers=headers)
    print("Generation:", response.json())


if __name__ == "__main__":
    main()

JavaScript

const main = async () => {
  const response = await fetch('https://api.aimlapi.com/v2/generate/video/runway/generation', {
    method: 'POST',
    headers: {
      Authorization: 'Bearer <YOUR_AIMLAPI_KEY>',
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      model: 'gen3a_turbo',
      prompt: 'A jellyfish in the ocean',
      ratio: '16:9',
      image_url: 'https://upload.wikimedia.org/wikipedia/commons/3/35/Maldivesfish2.jpg',
    }),
  }).then((res) => res.json());

  console.log('Generation:', response);
};

main()