Upscale to 4K the Gen-3 Alpha and Gen-3 Alpha Turbo videos
January 10, 2025 (March 21, 2025)
Table of contents
Use this endpoint to Upscale to 4K videos generated by
- gen3turbo/create
- gen3turbo/video
- gen3turbo/extend
- gen3turbo/expand
- gen3turbo/actone
- gen3/create
- gen3/video
- gen3/extend
- gen3/actone
https://api.useapi.net/v1/runwayml/gen3alpha/upscale
Request Headers
Authorization: Bearer {API token}
Content-Type: application/json
# Alternatively you can use multipart/form-data
# Content-Type: multipart/form-data
- API tokenis required, see Setup useapi.net for details.
Request Body
{
    "assetId": "Required assetId of Gen-3 Alpha or Gen-3 Alpha Turbo video asset you want to upscale",
    "exploreMode": true,
    "replyUrl": "Place your call back URL here",
    "replyRef": "Place your reference id here",
    "maxJobs": 5,
}
-  assetIdis required. Specify the Gen-3 Alpha or Gen-3 Alpha Turbo video assetId you want upscale. Use GET /assets/?mediaType=video to see the list of video assets.
-  exploreModeis optional. Set totrueif you have a Runway Unlimited plan and wish to execute relaxed generation. You are not charged credits for Explore mode generations.
-  replyUrlis optional, if not provided value from useapi.net account will be used.
 Place here your callback URL. API will call the providedreplyUrlonce Runway task completed or failed.
 Maximum length 1024 characters.
 We recommend using sites like webhook.site to test callback URL functionality.
-  replyRefis optional, place here your reference id which will be stored and returned along with this Runway task response / result.
 Maximum length 1024 characters.
-  maxJobsis optional, if not provided value for referenced by video assetId account will be used.
 Valid range: 1…10.
 Runway has dynamic query capacity and guarantees that, for a given account, at least one job will run — often two, and very rarely, three. If you have a single account linked, keep adding new jobs until you receive a429response. Once you get a429, wait for xx seconds or until at least one job completes, then try again. If you need to run more jobs in parallel, simply add more Runway accounts.
Responses
-   Use returned taskIdto retrieve task status and results using GET /tasks/taskId. The generated videourlcan be found in theartifactsarray of the task with the statusSUCCEEDED.If you specify the optional parameter replyUrlthe API will call the providedreplyUrlwith 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": "2025-01-10T02:55:10.654Z", "updatedAt": "2025-01-10T02:55:10.691Z", "taskType": "harrods", "options": { "name": "<name>", "task_artifact_id": "<uuid>", "exploreMode": true, "asset_url": "https://runway-...mp4", "asset_type": "video", "scale_factor": 4, "video_name": "<video name>", "parent_asset_group_id": "<uuid>", "asset_preview_urls": [ "https://runway-...jpg", "https://runway-...jpg", "https://runway-...jpg", "https://runway-...jpg", "https://runway-...jpg" ] }, "status": "PENDING", "error": null, "progressText": null, "progressRatio": null, "estimatedTimeToStartSeconds": 0, "artifacts": [], "sharedAsset": null, "sourceAssetId": null, "replyUrl": "https://webhook.site/abc", "replyRef": "<your optional reference id>", "code": 200 }
-   { "error": "<Error message>", "code": 400 }
-   { "error": "Unauthorized", "code": 401 }
-   { "error": "Unable to retrieve assetId <uuid> (Not found.)", "code": 404 }
-   You do not have enough credits to run this task. { "error": "You do not have enough credits to run this task." }
-   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 gen3alpha/upscale requests. Size of query defined by maxJobsoptional 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." }
- API query is full and can not accept new gen3alpha/upscale requests. Size of query defined by 
Model
{ // TypeScript, all fields are optional
    id: string
    taskId: string
    name: string
    image: any
    createdAt: string
    updatedAt: string
    taskType: string
    options: {
        name: string
        task_artifact_id: string
        exploreMode: boolean
        asset_url: string
        asset_type: string
        scale_factor: number
        video_name: string
        parent_asset_group_id: string
        asset_preview_urls: string[]
    }
    status: string
    error: {
      errorMessage: string,
      reason: string,
      message: string,
      moderation_category: string,
      tally_asimov: boolean
    },
    progressText: string 
    progressRatio: number
    estimatedTimeToStartSeconds: number
    artifacts: any[]
    sharedAsset: any
    sourceAssetId: any
    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/gen3alpha/upscale" \ -d '{"assetId": "…" }'
-  const assetId = "assetId of video asset"; const apiUrl = `https://api.useapi.net/v1/runwayml/gen3alpha/upscale`; const token = "API token"; const data = { method: 'POST', headers: { 'Authorization': `Bearer ${token}`, 'Content-Type': 'application/json' } }; data.body = JSON.stringify({ assetId }); const response = await fetch(apiUrl, data); const result = await response.json(); console.log("response", {response, result});
-  import requests assetId = "assetId of video asset" apiUrl = f"https://api.useapi.net/v1/runwayml/gen3alpha/upscale" token = "API token" headers = { "Content-Type": "application/json", "Authorization" : f"Bearer {token}" } body = { "assetId": f"{assetId}" } response = requests.post(apiUrl, headers=headers, json=body) print(response, response.json())