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MODEL ID runway:aleph@2.0
live

Runway Aleph 2.0

Runway
by Runway

Runway Aleph 2.0 is Runway's upgraded flagship video editing model for transforming existing footage while keeping the rest of the clip stable. It is built for precise localized edits, single-frame visual guidance, and consistent edits across cuts and scene changes, making it useful for product swaps, packaging updates, background changes, relighting, scene cleanup, and other post-production workflows that need the output to stay close to the source video. It supports clips up to 30 seconds at 1080p.

Runway Aleph 2.0

API Options

Platform-level options for task execution and delivery.

taskType

string required value: videoInference

Identifier for the type of task being performed

taskUUID

string required UUID v4

UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.

outputType

string default: URL

Video output type.

Allowed values 1 value

outputFormat

string default: MP4

Specifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.

  • `MP4`: Widely supported video container (H.264), recommended for general use.
  • `WEBM`: Optimized for web delivery.
  • `MOV`: QuickTime format, common in professional workflows (Apple ecosystem).
Allowed values 3 values

outputQuality

integer min: 20 max: 99 default: 95

Compression quality of the output. Higher values preserve quality but increase file size.

webhookURL

string URI

Specifies a webhook URL where JSON responses will be sent via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.

Learn more 1 resource

deliveryMethod

string default: async

Determines how the API delivers task results.

Allowed values 1 value
Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse. Required for long-running tasks like video generation.
Learn more 1 resource

uploadEndpoint

string URI

Specifies a URL where the generated content will be automatically uploaded using the HTTP PUT method. The raw binary data of the media file is sent directly as the request body. For secure uploads to cloud storage, use presigned URLs that include temporary authentication credentials.

Common use cases:

  • Cloud storage: Upload directly to S3 buckets, Google Cloud Storage, or Azure Blob Storage using presigned URLs.
  • CDN integration: Upload to content delivery networks for immediate distribution. 
// S3 presigned URL for secure upload
https://your-bucket.s3.amazonaws.com/generated/content.mp4?X-Amz-Signature=abc123&X-Amz-Expires=3600

// Google Cloud Storage presigned URL
https://storage.googleapis.com/your-bucket/content.jpg?X-Goog-Signature=xyz789

// Custom storage endpoint
https://storage.example.com/uploads/generated-image.jpg

The content data will be sent as the request body to the specified URL when generation is complete.

safety

object

Content safety checking configuration for video generation.

Properties 2 properties
safety » checkContent

checkContent

boolean default: false

Enable or disable content safety checking. When enabled, defaults to fast mode.

safety » mode

mode

string default: none

Safety checking mode for video generation.

Allowed values 3 values
Disables checking.
Checks key frames.
Checks all frames.

ttl

integer min: 60

Time-to-live (TTL) in seconds for generated content. Only applies when outputType is URL.

includeCost

boolean default: false

Include task cost in the response.

numberResults

integer min: 1 max: 4 default: 1

Number of results to generate. Each result uses a different seed, producing variations of the same parameters.

Inputs

Input resources for the task (images, audio, etc). These must be nested inside the inputs object.
inputs » frameImages

frameImages

array of strings or objects min items: 1max items: 5

An array of frame-specific image inputs to guide video generation. Each item can be either a plain image input (UUID, URL, Data URI, or Base64) or an object that pairs an image with a target position in the video.

The frameImages parameter allows you to constrain specific frames within the video sequence, ensuring that particular visual content appears at designated points. Position can be specified using frame (named positions or frame indices) or timestamp (seconds), depending on model support. This is different from referenceImages, which provide overall visual guidance without constraining specific timeline positions.

When the frame parameter is omitted, automatic distribution rules apply:

  • 1 image: Used as the first frame.
  • 2 images: First and last frames.
  • 3+ images: First and last frames, with intermediate images evenly spaced between.
Examples 4 examples

Shorthand format: When you don't need to specify a frame position, you can pass a plain image input directly.

"frameImages": [
  "aac49721-1964-481a-ae78-8a4e29b91402"
]

Object format: When you need to specify a position, use an object with image and either frame or timestamp (model-dependent).

"frameImages": [
  {
    "image": "aac49721-1964-481a-ae78-8a4e29b91402",
    "frame": "first"
  }
]
First and last frames: With two images, they automatically become the first and last frames of the video sequence. You can mix shorthand and object formats.
"frameImages": [
  "aac49721-1964-481a-ae78-8a4e29b91402",
  {
    "image": "3ad204c3-a9de-4963-8a1a-c3911e3afafe",
    "frame": "last"
  }
]
Multiple frames: With three or more images, the first and last are anchored while intermediate frames are evenly distributed across the timeline.
"frameImages": [
  {
    "image": "aac49721-1964-481a-ae78-8a4e29b91402",
    "frame": "first"
  },
  "c00abf5f-6cdb-4642-a01d-1bfff7bc3cf7",
  {
    "image": "3ad204c3-a9de-4963-8a1a-c3911e3afafe",
    "frame": "last"
  }
]
Format 1: string[]
string

Image input (UUID, URL, Data URI, or Base64).

Format 2: object[] 3 properties
inputs » frameImages » image

image

string required

Image input (UUID, URL, Data URI, or Base64).

inputs » frameImages » frame

frame

object

Target frame position for the image. Supports first and last frame.

Allowed values 4 values
First frame of the video.
Last frame of the video.
Frame index 0 (first frame).
Frame index -1 (last frame).
inputs » frameImages » timestamp

timestamp

float min: 0 max: 30 step: 0.01

Timestamp in seconds indicating where the reference image is applied in the video. Hundredths-of-a-second precision.

inputs » video

video

string required

Video input (UUID or URL). Source video to be edited. Duration must be between 2 and 30 seconds.

Core Parameters

Primary parameters that define the task output.

model

string required value: runway:aleph@2.0

Identifier of the model to use for generation.

positivePrompt

string required min: 1 max: 1000

Text prompt describing elements to include in the generated output.

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