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MODEL IDrunway:aleph@2.0
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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

stringrequiredvalue: videoInference

Identifier for the type of task being performed

taskUUID

stringrequiredUUID v4

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

outputType

stringdefault: URL

Video output type.

Allowed values1 value

outputFormat

stringdefault: 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 values3 values

outputQuality

integermin: 20max: 99default: 95

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

webhookURL

stringURI

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 more1 resource

deliveryMethod

stringdefault: async

Determines how the API delivers task results.

Allowed values1 value
Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse. Required for long-running tasks like video generation.
Learn more1 resource

uploadEndpoint

stringURI

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.

Properties2 properties
safety » checkContent

checkContent

booleandefault: false

Enable or disable content safety checking.

safety » mode

mode

stringdefault: none

Safety checking mode for video generation.

Allowed values3 values
Disables checking.
Checks key frames.
Checks all frames.

ttl

integermin: 60

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

includeCost

booleandefault: false

Include task cost in the response.

Inputs

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

inputs » frameImages

frameImages

array of strings or objectsmin items: 1max items: 5

List of frame-specific image inputs. Each item can be either a plain image input (UUID, URL, Data URI, or Base64) or an object with an image and a target position in the video.

Format 1: string[]
string

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

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

image

stringrequired

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 values4 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

floatmin: 0max: 30step: 0.01

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

inputs » video

video

stringrequired

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.

numberResults

integermin: 1max: 4default: 1

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

model

stringrequiredvalue: runway:aleph@2.0

Identifier of the model to use for generation.

positivePrompt

stringrequiredmin: 1max: 1000

Text prompt describing elements to include in the generated output.

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