Upscale to 4K the Gen-3 Alpha and Gen-3 Alpha Turbo videos
January 10, 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 token
is 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,
}
-
assetId
is 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. -
exploreMode
is optional. Set totrue
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 providedreplyUrl
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 assetId account will be used.
Valid range: 1…10.
Responses
-
Use returned
taskId
to retrieve task status and results using GET /tasks/taskId
. The generated videourl
can be found in theartifacts
array of the task with the statusSUCCEEDED
.If you specify the optional parameter
replyUrl
the API will call the providedreplyUrl
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": "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, "features": { "storageGB": 500, "numPlanCredits_permitted": 2250, "numPlanCredits_used": 1315 }, "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
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." }
- 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
features: {
storageGB: number
numPlanCredits_permitted: number
numPlanCredits_used: number
}
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())