POST gen3turbo/expand

Expand Video (outpaint) with Gen-3 Alpha Turbo

November 25, 2024

Request Headers
Request Body
Responses
Model
Examples
Try It

Expand Video reimagines and reframes existing videos into different formats.

Runway AI Tools » Audio tools » Text/Image to Video » Gen-3 Alpha Turbo » Expand Video.

Creating with Expand Video on Gen-3 Alpha Turbo

Please be aware that Runway’s moderation system analyzes your image and text prompts and may fail task with moderation message if the prompt is determined to be offensive. Runway monitors the rate and the number of moderated tasks, which may result in your account being suspended when the internal threshold is exceeded.

https://api.useapi.net/v1/runwayml/gen3turbo/expand

Request Headers

Authorization: Bearer {API token}
Content-Type: application/json
# Alternatively you can use multipart/form-data
# Content-Type: multipart/form-data

API token is required, see Setup useapi.net for details.

Request Body

{
    "videoAssetId": "Required video asset you want to expand",
    "imageAssetId": "Optional image asset to be used as video first frame",
    "text_prompt": "Optional text prompt",
    "seconds": 10,
    "seed": 12345678,
    "outpaint_aspect_ratio": "portrait",
    "exploreMode": true,
    "replyUrl": "Place your call back URL here",
    "replyRef": "Place your reference id here",
    "maxJobs": 5,
}

videoAssetId is required. Specify the video asset you want expand. Use GET /assets/?mediaType=video to see the list of video assets.
imageAssetId is optional. Use an outpainted image of the video’s first frame for best results when using a guiding image. Use GET /assets/?mediaType=image to see the list of image assets.
text_prompt is optional. Expand Video works great in most cases without a prompt. Include a text or image prompt for more control. Creating with Expand Video on Gen-3 Alpha Turbo.
outpaint_aspect_ratio is optional. Specify desired output aspect ratio.
Supported values: landscape (default), portrait.
seconds is optional. Video asset metadata.duration will be used, if not provided will be defaulted to 10.
Supported values: 5, 10 (default).
seed is optional.
Valid range 1…4294967294.
exploreMode is optional. Set to true if you have a Runway Unlimited plan and wish to execute relaxed generation. You are not charged credits for Explore mode generations.
replyUrl is optional, if not provided value from account will be used.
Place here your callback URL. API will call the provided replyUrl once Runway task completed or failed.
Maximum length 1024 characters.
We recommend using sites like webhook.site to test callback URL functionality.
replyRef is optional, place here your reference id which will be stored and returned along with this Runway task response / result.
Maximum length 1024 characters.
maxJobs is optional, if not provided value for referenced by video videoAssetId account will be used.
Valid range: 1…10.

Responses

200 OK

Use returned taskId to retrieve task status and results using GET /tasks/taskId. The generated video url can be found in the artifacts array of the task with the status SUCCEEDED.

If you specify the optional parameter replyUrl the API will call the provided replyUrl with task progress updates until the task is complete or fails.

{
  "taskId": "user:user_id-runwayml:account_email-task:task_uuid",
  "id": "<uuid>",
  "name": "<name>",
  "image": null,
  "createdAt": "2024-08-01T01:02:03.456Z",
  "updatedAt": "2024-08-01T01:02:03.456Z",
  "taskType": "gen3a_turbo",
  "options": {
      "name": "<name>",
      "text_prompt": "<your text prompt>",
      "seed": 123456789,
      "seconds": 10,
      "exploreMode": true,
      "watermark": false,
      "outpaint_input_video": "<original video url>",
      "outpaint_input_video_preview_image": "<preview image url>",
      "outpaint_guiding_image": "<first frame image url>",
      "outpaint_aspect_ratio": "3:5",
      "assetGroupName": "Generative Video",
      "recordingEnabled": true
  },  
  "status": "PENDING",
  "error": null,
  "progressText": null,
  "progressRatio": null,
  "estimatedTimeToStartSeconds": 0,
  "artifacts": [],
  "sharedAsset": null,
  "features": {
      "storageGB": 500,
      "numPlanCredits_permitted": 2250,
      "numPlanCredits_used": 1315
  },    
  "replyUrl": "https://webhook.site/abc",
  "replyRef": "<your optional reference id>",
  "code": 200
}

400 Bad Request

{
  "error": "<Error message>",
  "code": 400
}

401 Unauthorized

{
  "error": "Unauthorized",
  "code": 401
}

404 Not Found

{
    "error": "Unable to retrieve videoAssetId <uuid> (Not found.)",
    "code": 404
}

412 Insufficient credits

You do not have enough credits to run this task.

{
    "error": "You do not have enough credits to run this task."
}

429 Too Many Requests

Wait in a loop for at least 10..30 seconds and retry again.

There are two possible cases for API response 429:

API query is full and can not accept new gen3turbo/expand requests. Size of query defined by maxJobs optional parameter.

{
    "error": "Account <Runway account email> is busy executing <Account maxJobs> tasks",
    "runningTasks": {
        "<Runway account email>": [
            {
                "email": "<Runway account email>",
                "taskId": "user:user_id-runwayml:account_email-task:task_#1_uuid",
                "id": "<uuid>",
                "replyUrl": "<replyUrl if provided>",
                "replyRef": "<replyRef if provided>"
            },
            {
                "email": "<Runway account email>",
                "taskId": "user:user_id-runwayml:account_email-task:task_#N_uuid",
                "id": "<uuid>",
                "replyUrl": "<replyUrl if provided>",
                "replyRef": "<replyRef if provided>"
            }
        ]
    },
    "code": 429
}

The API received an HTTP response status 429 from Runway. Runway has dynamic query management and may limit the number of simultaneously executed tasks based on internal service load and policies.

{
    "error": "You have too many tasks running or pending. Please wait for some of them to finish before starting more."
}

Model

{ // TypeScript, all fields are optional
  taskId: string,
  id: string,
  name: string,
  image: any,
  createdAt: string,
  updatedAt: string,
  taskType: string,
  options: {
      name: string,
      seed: number,
      exploreMode: boolean,
      watermark: boolean,
      seconds: number,
      text_prompt: string,
      outpaint_input_video: string,
      outpaint_input_video_preview_image: string,
      outpaint_guiding_image: string,
      outpaint_aspect_ratio: string,
      assetGroupName: string,
      recordingEnabled: boolean
  },
  status: string,
  progressText: any,
  progressRatio: any,
  estimatedTimeToStartSeconds: number,
  artifacts: any[],
  sharedAsset: any,
  features: {
    storageGB: number,
    numPlanCredits_permitted: number,
    numPlanCredits_used: number
  },    
  error: {
    errorMessage: string,
    reason: string,
    message: string,
    moderation_category: string,
    tally_asimov: boolean
  },
  code: number,
  replyUrl: string,
  replyRef: string
}

Examples

curl -H "Accept: application/json" \
     -H "Content-Type: application/json" \
     -H "Authorization: Bearer …" \
     -X POST "https://api.useapi.net/v1/runwayml/gen3turbo/expand" \
     -d '{"videoAssetId": "…" }'

const videoAssetId = "video asset";      
const apiUrl = `https://api.useapi.net/v1/runwayml/gen3turbo/expand`; 
const token = "API token";
const data = { 
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${token}`,
    'Content-Type': 'application/json' }
};
data.body = JSON.stringify({ 
  videoAssetId
});
const response = await fetch(apiUrl, data);
const result = await response.json();
console.log("response", {response, result});

import requests
videoAssetId = "video asset"      
apiUrl = f"https://api.useapi.net/v1/runwayml/gen3turbo/expand" 
token = "API token"
headers = {
    "Content-Type": "application/json", 
    "Authorization" : f"Bearer {token}"
}
body = {
    "videoAssetId": f"{videoAssetId}"
}
response = requests.post(apiUrl, headers=headers, json=body)
print(response, response.json())