Frames

January 29, 2025

Table of contents

  1. Request Headers
  2. Request Body
  3. Responses
  4. Model
  5. Examples
  6. Try It

Frames is Runway’s most advanced base model for image generation, offering unprecedented stylistic control and visual fidelity.

Frames Prompting Guide.

This endpoint will generate 4 images in under 20 seconds on average. You can run several generations in parallel as well.

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/frames/create

Request Headers
Authorization: Bearer {API token}
Content-Type: application/json
# Alternatively you can use multipart/form-data
# Content-Type: multipart/form-data
Request Body
{
    "email": "Optional Runway API account email",
    "text_prompt": "Required text prompt",
    "aspect_ratio": "21:9",
    "diversity": 5,
    "style": "vivid",
    "seed": 12345678,
    "exploreMode": true,    
    "replyUrl": "Place your call back URL here",
    "replyRef": "Place your reference id here",
    "maxJobs": 5
}
  • email is optional, if not provided API will randomly select available account.

  • text_prompt is required. Describe your image in detail. Frames Prompting Guide.
    Maximum length 1000 characters.

  • style is optional.
    Supported values: vivid, vivid-warm, vivid-cool, high-contrast, high-contrast-warm, high-contrast-cool, bw, bw-contrast, muted-pastel, dreamscape, nordic-minimal, light-anime, dark-anime, painted-anime, 3d-cartoon, sketch, low-angle, in-motion, terracotta.

  • aspect_ratio is optional.
    Supported values: 16:9 (default), 9:16, 1:1, 4:3, 3:4, 21:9.

  • diversity is optional. Aesthetic Range, higher values increase the creative variation between generations in a set.
    Valid range: 0…5. Default 2.

  • 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 image assetId 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 images 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": "text_to_image",
        "options": {
            "name": "<name>",
            "text_prompt": "<your text prompt>",
            "seed": 12345789,
            "exploreMode": true,
            "diversity": 2,
            "style": "vivid",
            "width": 1088,
            "height": 1920,
            "flip": true,
            "assetGroupName": "Text to Image",
            "recordingEnabled": true
        },
        "status": "PENDING",
        "error": null,
        "progressText": null,
        "progressRatio": null,
        "estimatedTimeToStartSeconds": 0,
        "artifacts": [],
        "sharedAsset": null,
        "sourceAssetId": null,
        "features": {
            "storageGB": 500,
            "numPlanCredits_permitted": 2250,
            "numPlanCredits_used": 1515
        },    
        "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
    }
    
  • 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:

    {
        "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: string,
  createdAt: string,
  updatedAt: string,
  taskType: string,
  options: {
        name: string,
        text_prompt: string,
        diversity: number,
        style: string,
        seed: number,
        exploreMode: boolean,
        flip: boolean,
        width: number,
        height: number,
        assetGroupName: string,
        recordingEnabled: boolean
  },
  status: string,
  progressText: string,
  progressRatio: number,
  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/frames/create" \
         -d '{"text_prompt": "…"}'
    
  • const text_prompt = "text prompt";      
    const apiUrl = `https://api.useapi.net/v1/runwayml/frames/create`; 
    const token = "API token";
    const data = { 
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${token}`,
        'Content-Type': 'application/json' }
    };
    data.body = JSON.stringify({ 
      text_prompt
    });
    const response = await fetch(apiUrl, data);
    const result = await response.json();
    console.log("response", {response, result});
    
  • import requests
    text_prompt = "text prompt"      
    apiUrl = f"https://api.useapi.net/v1/runwayml/frames/create" 
    token = "API token"
    headers = {
        "Content-Type": "application/json", 
        "Authorization" : f"Bearer {token}"
    }
    body = {
        "text_prompt": f"{text_prompt}"
    }
    response = requests.post(apiUrl, headers=headers, json=body)
    print(response, response.json())
    
Try It