Runway Aleph
Runway Aleph is an in‑context video model for high fidelity cinematic work. It transforms text prompts, reference images, and source clips into new shots with consistent lighting, style, and motion. Developers can build workflows for video editing, angle generation, and scene transformation.
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
- Webhooks PLATFORM
- Webhooks
-
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
- Task Polling PLATFORM
-
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.jpgThe 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»checkContentcheckContent
boolean default: false -
Enable or disable content safety checking. When enabled, defaults to
fastmode.
-
safety»modemode
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
outputTypeisURL.
-
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 object.-
inputs»referenceImagesreferenceImages
array of strings items: 1 -
List of reference images (UUID, URL, Data URI, or Base64).
-
inputs»videovideo
string required -
Video input (UUID or URL).
Generation Parameters
Core parameters for controlling the generated content.
-
model
string required value: runway:2@1 -
Identifier of the model to use for generation.
Learn more 3 resources
-
positivePrompt
string required min: 1 max: 1000 -
Text prompt describing elements to include in the generated output.
Learn more 2 resources
-
width
integer paired with height -
Width of the generated media in pixels.
Learn more 2 resources
-
height
integer paired with width -
Height of the generated media in pixels.
Learn more 2 resources
-
seed
integer min: 0 max: 4294967295 -
Random seed for reproducible generation. When not provided, a random seed is generated in the unsigned 32-bit range.
Provider Settings
Parameters specific to this model provider. These must be nested inside the providerSettings.runway object.
providerSettings.runway object.-
providerSettings»runway»contentModerationcontentModeration
object -
Content moderation settings.
Properties 1 property
-
providerSettings»runway»contentModeration»publicFigureThresholdpublicFigureThreshold
string default: auto -
Public figure filtering strictness.
Allowed values 2 values
- Automatic filtering.
- Less strict filtering.
-
Flooded Cathedral Skate Chase
{
"taskType": "videoInference",
"taskUUID": "ad5b1580-b3de-471f-adaa-fe87e4f9e1f1",
"model": "runway:2@1",
"positivePrompt": "Transform the source footage into a tense cinematic pursuit through a colossal flooded cathedral nave at dawn, ankle-deep reflective water rippling beneath the skater, towering stone columns, fractured stained glass casting muted amber and cobalt beams, drifting dust and mist, subtle debris floating past, camera preserving the original forward tracking energy and subject motion, highly detailed wet surfaces, realistic splashes, dramatic volumetric light, grounded photorealism, epic scale, moody and immersive atmosphere",
"width": 1280,
"height": 720,
"seed": 86564,
"providerSettings": {
"runway": {
"contentModeration": {
"publicFigureThreshold": "auto"
}
}
},
"inputs": {
"video": "https://assets.runware.ai/assets/inputs/cf01c2d5-4323-49a2-9a2c-7f6e82263e01.mp4"
}
}{
"taskType": "videoInference",
"taskUUID": "ad5b1580-b3de-471f-adaa-fe87e4f9e1f1",
"videoUUID": "d3897e5d-c9a1-48d5-a135-5ffeb4251ab2",
"videoURL": "https://vm.runware.ai/video/os/a22d05/ws/5/vi/d3897e5d-c9a1-48d5-a135-5ffeb4251ab2.mp4",
"seed": 86564,
"cost": 0.7563
}Volcanic Foundry Procession Interior
{
"taskType": "videoInference",
"taskUUID": "60b74113-2550-44b3-a3fb-f16c76e10891",
"model": "runway:2@1",
"positivePrompt": "Transform the source footage into a colossal molten-metal foundry deep inside a mountain fortress. The walking person becomes a masked forge keeper in layered heat-resistant robes carrying a long iron staff with a dim ember at the tip. Replace the empty warehouse with towering blackened furnaces, suspended chains, riveted gantries, glowing channels of liquid metal, drifting sparks, heat shimmer, and dense industrial haze. Preserve the original walking pace, camera path, body proportions, and overall motion from the input video. Cinematic high-fidelity live-action look, rich orange highlights against soot-dark architecture, dramatic volumetric light shafts, realistic reflections on metal surfaces, subtle ash in the air, tactile textures, epic scale, tense and ceremonial mood.",
"width": 1280,
"height": 720,
"seed": 51136,
"providerSettings": {
"runway": {
"contentModeration": {
"publicFigureThreshold": "auto"
}
}
},
"inputs": {
"video": "https://assets.runware.ai/assets/inputs/907bfb2b-7856-49c4-8b7d-8b0399469d10.mp4"
}
}{
"taskType": "videoInference",
"taskUUID": "60b74113-2550-44b3-a3fb-f16c76e10891",
"videoUUID": "814bf1fa-633c-4667-9746-54b6183940e1",
"videoURL": "https://vm.runware.ai/video/os/a15d18/ws/5/vi/814bf1fa-633c-4667-9746-54b6183940e1.mp4",
"seed": 51136,
"cost": 0.7563
}Wind-Scoured Salt Flats Caravan
{
"taskType": "videoInference",
"taskUUID": "b06a2e2e-1487-4bff-9f0a-0fc18f666605",
"model": "runway:2@1",
"positivePrompt": "Transform the source footage into a sweeping high-fidelity cinematic journey across immense salt flats, guided by the reference image's handcrafted nomadic aesthetic. Preserve the camera movement, walking rhythm, and overall blocking from the input video while redesigning wardrobe, animals, props, and environment with woven fabrics, carved wood, brass ornaments, mineral formations, and weathered travel gear. Bright airy daylight, soft haze, long visibility, textured ground patterns, subtle drifting dust, naturalistic color grading, epic yet grounded atmosphere, consistent lighting, realistic motion, premium feature-film finish.",
"width": 1280,
"height": 720,
"seed": 98917,
"providerSettings": {
"runway": {
"contentModeration": {
"publicFigureThreshold": "auto"
}
}
},
"inputs": {
"video": "https://assets.runware.ai/assets/inputs/6a8519f3-5285-45b0-84c3-e3ad9637a0f4.mp4",
"referenceImages": [
"https://assets.runware.ai/assets/inputs/2ac36075-af20-4986-9079-15df2c84c614.jpg"
]
}
}{
"taskType": "videoInference",
"taskUUID": "b06a2e2e-1487-4bff-9f0a-0fc18f666605",
"videoUUID": "ca99e47d-28ea-49ac-a2d6-94908dcabbd1",
"videoURL": "https://vm.runware.ai/video/os/a22d05/ws/5/vi/ca99e47d-28ea-49ac-a2d6-94908dcabbd1.mp4",
"seed": 98917,
"cost": 0.7563
}Glacial Freight Train Crossing
{
"taskType": "videoInference",
"taskUUID": "cf1fe1ae-c2cd-40e4-ad32-0e9437463710",
"model": "runway:2@1",
"positivePrompt": "Transform the source clip into a sweeping cinematic shot of a heavy cargo train cutting through a frozen polar expanse. Preserve the original train motion and camera tracking, but restyle the environment into vast fields of packed snow, drifting ice dust, frozen rails, distant jagged ridges, and low silver daylight. The train should feel massive and weather-beaten, with frost on metal surfaces, vapor streaming from vents, and believable contact between wheels and the icy track. Emphasize high fidelity live-action realism, atmospheric depth, crisp cold air, grounded physics, and cohesive color grading inspired by the reference image.",
"width": 1280,
"height": 720,
"seed": 12205,
"providerSettings": {
"runway": {
"contentModeration": {
"publicFigureThreshold": "auto"
}
}
},
"inputs": {
"video": "https://assets.runware.ai/assets/inputs/da5577cd-afdb-4715-b4b8-92f3f9793ff0.mp4",
"referenceImages": [
"https://assets.runware.ai/assets/inputs/ee726b96-7f68-49a9-b77e-24921b47411a.jpg"
]
}
}{
"taskType": "videoInference",
"taskUUID": "cf1fe1ae-c2cd-40e4-ad32-0e9437463710",
"videoUUID": "6eb9cb33-ab07-4b8f-afd7-0103e8dc8154",
"videoURL": "https://vm.runware.ai/video/os/a24d12/ws/5/vi/6eb9cb33-ab07-4b8f-afd7-0103e8dc8154.mp4",
"seed": 12205,
"cost": 0.7563
}