---
title: Runway Aleph 2.0 | Runware Docs
url: https://runware.ai/docs/models/runway-aleph-2-0
description: Localized video editing with single-frame guidance, multi-shot consistency, and stronger preservation of the original clip
---
# Runway Aleph 2.0

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.

- **ID**: `runway:aleph@2.0`
- **Status**: live
- **Creator**: Runway
- **Release Date**: June 2, 2026
- **Capabilities**: Video to Video, Edit

## Pricing

Pricing starts at $0.28 per second

- **1s**: `$0.28`

## Request Parameters

**API Options**

Platform-level options for task execution and delivery.

### [taskType](https://runware.ai/docs/models/runway-aleph-2-0#request-tasktype)

- **Type**: `string`
- **Required**: true
- **Value**: `videoInference`

Identifier for the type of task being performed

### [taskUUID](https://runware.ai/docs/models/runway-aleph-2-0#request-taskuuid)

- **Type**: `string`
- **Required**: true
- **Format**: `UUID v4`

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

### [outputType](https://runware.ai/docs/models/runway-aleph-2-0#request-outputtype)

- **Type**: `string`
- **Default**: `URL`

Video output type.

**Allowed values**: `URL`

### [outputFormat](https://runware.ai/docs/models/runway-aleph-2-0#request-outputformat)

- **Type**: `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**: `MP4` `WEBM` `MOV`

### [outputQuality](https://runware.ai/docs/models/runway-aleph-2-0#request-outputquality)

- **Type**: `integer`
- **Min**: `20`
- **Max**: `99`
- **Default**: `95`

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

### [webhookURL](https://runware.ai/docs/models/runway-aleph-2-0#request-webhookurl)

- **Type**: `string`
- **Format**: `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](https://runware.ai/docs/platform/webhooks) (platform)

### [deliveryMethod](https://runware.ai/docs/models/runway-aleph-2-0#request-deliverymethod)

- **Type**: `string`
- **Default**: `async`

Determines how the API delivers task results.

**Allowed values**:

- `async` 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](https://runware.ai/docs/platform/task-polling) (platform)

### [uploadEndpoint](https://runware.ai/docs/models/runway-aleph-2-0#request-uploadendpoint)

- **Type**: `string`
- **Format**: `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.

```text
// 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](https://runware.ai/docs/models/runway-aleph-2-0#request-safety)

- **Path**: `safety.checkContent`
- **Type**: `object (2 properties)`

Content safety checking configuration for video generation.

#### [checkContent](https://runware.ai/docs/models/runway-aleph-2-0#request-safety-checkcontent)

- **Path**: `safety.checkContent`
- **Type**: `boolean`
- **Default**: `false`

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

#### [mode](https://runware.ai/docs/models/runway-aleph-2-0#request-safety-mode)

- **Path**: `safety.mode`
- **Type**: `string`
- **Default**: `none`

Safety checking mode for video generation.

**Allowed values**:

- `none` Disables checking.
- `fast` Checks key frames.
- `full` Checks all frames.

### [ttl](https://runware.ai/docs/models/runway-aleph-2-0#request-ttl)

- **Type**: `integer`
- **Min**: `60`

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

### [includeCost](https://runware.ai/docs/models/runway-aleph-2-0#request-includecost)

- **Type**: `boolean`
- **Default**: `false`

Include task cost in the response.

### [numberResults](https://runware.ai/docs/models/runway-aleph-2-0#request-numberresults)

- **Type**: `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.

### [frameImages](https://runware.ai/docs/models/runway-aleph-2-0#request-inputs-frameimages)

- **Path**: `inputs.frameImages`
- **Type**: `array of strings or objects`

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**:

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

```json
"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).

```json
"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.

```json
"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.

```json
"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[]**:

- **Type**: `string`

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

**Format 2: object[]**:

#### [image](https://runware.ai/docs/models/runway-aleph-2-0#request-inputs-frameimages-format-2-image)

- **Path**: `inputs.frameImages.image`
- **Type**: `string`
- **Required**: true

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

#### [frame](https://runware.ai/docs/models/runway-aleph-2-0#request-inputs-frameimages-format-2-frame)

- **Path**: `inputs.frameImages.frame`
- **Type**: `object`

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

**Allowed values**:

- `first` First frame of the video.
- `last` Last frame of the video.
- `0` Frame index 0 (first frame).
- `-1` Frame index -1 (last frame).

#### [timestamp](https://runware.ai/docs/models/runway-aleph-2-0#request-inputs-frameimages-format-2-timestamp)

- **Path**: `inputs.frameImages.timestamp`
- **Type**: `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.

### [video](https://runware.ai/docs/models/runway-aleph-2-0#request-inputs-video)

- **Path**: `inputs.video`
- **Type**: `string`
- **Required**: true

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](https://runware.ai/docs/models/runway-aleph-2-0#request-model)

- **Type**: `string`
- **Required**: true
- **Value**: `runway:aleph@2.0`

Identifier of the model to use for generation.

### [positivePrompt](https://runware.ai/docs/models/runway-aleph-2-0#request-positiveprompt)

- **Type**: `string`
- **Required**: true
- **Min**: `1`
- **Max**: `1000`

Text prompt describing elements to include in the generated output.

## Response Parameters

### [taskType](https://runware.ai/docs/models/runway-aleph-2-0#response-tasktype)

- **Type**: `string`
- **Required**: true
- **Value**: `videoInference`

Type of the task.

### [taskUUID](https://runware.ai/docs/models/runway-aleph-2-0#response-taskuuid)

- **Type**: `string`
- **Required**: true
- **Format**: `UUID v4`

UUID of the task.

### [videoUUID](https://runware.ai/docs/models/runway-aleph-2-0#response-videouuid)

- **Type**: `string`
- **Required**: true
- **Format**: `UUID v4`

UUID of the output video.

### [videoURL](https://runware.ai/docs/models/runway-aleph-2-0#response-videourl)

- **Type**: `string`
- **Format**: `URI`

URL of the output video.

### [videoBase64Data](https://runware.ai/docs/models/runway-aleph-2-0#response-videobase64data)

- **Type**: `string`

Base64-encoded video data.

### [videoDataURI](https://runware.ai/docs/models/runway-aleph-2-0#response-videodatauri)

- **Type**: `string`
- **Format**: `URI`

Data URI of the output video.

### [seed](https://runware.ai/docs/models/runway-aleph-2-0#response-seed)

- **Type**: `integer`

The seed used for generation. If none was provided, shows the randomly generated seed.

### [NSFWContent](https://runware.ai/docs/models/runway-aleph-2-0#response-nsfwcontent)

- **Type**: `boolean`

Flag indicating if NSFW content was detected.

### [cost](https://runware.ai/docs/models/runway-aleph-2-0#response-cost)

- **Type**: `float`

Task cost in USD. Present when `includeCost` is set to `true` in the request.

## Examples

### Falcon Helmet Decal Continuity (Edit)

[Watch video](https://assets.runware.ai/examples/runway-aleph-2-0/2583e833-9a03-4b73-8372-88250111db2b.mp4)

**Request**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "2765b8bd-6e5d-4a18-86aa-e53fc5beba1e",
  "model": "runway:aleph@2.0",
  "positivePrompt": "Replace any existing helmet markings with the guided copper falcon emblem on the front and sides of the rider's matte white helmet. Keep the helmet shape, scratches, reflections, rider, bike, skin, clothing, skate bowl, spectators, camera motion, and lighting unchanged. Track the emblem through head turns and motion blur, matching perspective and surface curvature, with consistent scale and clean edges across the full clip.",
  "inputs": {
    "video": "https://assets.runware.ai/assets/inputs/b50a6ee7-d03e-4c7d-9543-57f861ecb6ea.mp4",
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/117e2a34-9f50-4586-b71b-0dc6c97b909d.jpg",
        "frame": "first"
      }
    ]
  }
}
```

**Response**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "2765b8bd-6e5d-4a18-86aa-e53fc5beba1e",
  "videoUUID": "fb84cf5e-7f5c-4cad-834c-be26bf9e8570",
  "videoURL": "https://vm.runware.ai/video/os/a02d21/ws/5/vi/fb84cf5e-7f5c-4cad-834c-be26bf9e8570.mp4",
  "seed": 1062989583,
  "cost": 1.6968
}
```

---

### Prismatic Courier Case Replacement (Video to Video)

[Watch video](https://assets.runware.ai/examples/runway-aleph-2-0/182cff0a-6b03-4ef5-ad7b-41abc3c3a119.mp4)

**Request**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "50ace034-9cb9-42f4-8400-06e5d9fd0d22",
  "model": "runway:aleph@2.0",
  "positivePrompt": "Edit only the gray delivery box on the bike rack, replacing it with the prismatic insulated courier case from the reference image. Keep the case locked to the same position, scale, perspective, and motion as the original box through the entire clip. Preserve the courier, bike, commuters, signage, tiled columns, floor reflections, exposure, lens characteristics, handheld camera movement, and natural motion blur. Make the replacement look physically present with realistic shadows, contact points, highlights, and occlusions.",
  "inputs": {
    "video": "https://assets.runware.ai/assets/inputs/df20a6c2-ee2c-4589-80bf-907bf498a88a.mp4",
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/3393ebc0-bc12-43c0-8236-aac3c15a30bd.jpg",
        "frame": "first"
      }
    ]
  }
}
```

**Response**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "50ace034-9cb9-42f4-8400-06e5d9fd0d22",
  "videoUUID": "164ec61e-58f0-4491-997c-1618ab200192",
  "videoURL": "https://vm.runware.ai/video/os/a06dlim3/ws/5/vi/164ec61e-58f0-4491-997c-1618ab200192.mp4",
  "seed": 1035704411,
  "cost": 1.6968
}
```

---

### Jade Dragon Teapot Replacement (Edit)

[Watch video](https://assets.runware.ai/examples/runway-aleph-2-0/a2e6c545-dad6-448d-97ec-0ac68c754c47.mp4)

**Request**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "39c5fd6c-3293-481a-a8c8-e46ef84d7b1e",
  "model": "runway:aleph@2.0",
  "positivePrompt": "Edit only the plain white teapot in the source clip into the jade-green dragon-shaped ceramic teapot shown in the first-frame guide. Preserve the actor's hands, pouring motion, steam, tabletop, cup position, shadows, reflections, camera movement, and timing exactly. Keep the replacement locked to the original teapot throughout the clip, matching scale, perspective, contact points, and occlusions under fingers. Do not alter the background or add extra objects.",
  "inputs": {
    "video": "https://assets.runware.ai/assets/inputs/9efa671d-0640-4702-8ef6-71ebbd0a8d6d.mp4",
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/d291b266-ebd8-4e12-8d62-6d760fa7366e.jpg",
        "frame": "first"
      }
    ]
  }
}
```

**Response**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "39c5fd6c-3293-481a-a8c8-e46ef84d7b1e",
  "videoUUID": "6582b14a-ce0b-4df3-9a82-e2654bebeb9d",
  "videoURL": "https://vm.runware.ai/video/os/a07dlim3/ws/5/vi/6582b14a-ce0b-4df3-9a82-e2654bebeb9d.mp4",
  "seed": 572555908,
  "cost": 1.6968
}
```

---

### Solar Orchard Pastry Box (Edit)

[Watch video](https://assets.runware.ai/examples/runway-aleph-2-0/b9e1b0f7-c0cc-4ddc-bafc-c8a27e8357f8.mp4)

**Request**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "ff893344-dc19-4976-bbed-c53650663452",
  "model": "runway:aleph@2.0",
  "positivePrompt": "Replace only the plain white cake box with the referenced Solar Orchard Patisserie package design across the full clip. Keep the chef's hands, pastries, stainless counter, camera movement, reflections, lid motion, shadows, and all surroundings unchanged. The branding should wrap naturally around the box surfaces, remain sharp when facing camera, deform correctly as the lid opens, and stay consistent through motion blur and perspective changes.",
  "inputs": {
    "video": "https://assets.runware.ai/assets/inputs/294ecfae-309e-4ec8-b6a3-ec511cb4046b.mp4",
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/e624db40-4782-49f6-8574-9b7913e1f854.jpg",
        "frame": "first"
      }
    ]
  }
}
```

**Response**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "ff893344-dc19-4976-bbed-c53650663452",
  "videoUUID": "b3273477-db4c-4afc-bae9-8174cd6a6831",
  "videoURL": "https://vm.runware.ai/video/os/a02d21/ws/5/vi/b3273477-db4c-4afc-bae9-8174cd6a6831.mp4",
  "seed": 1994655980,
  "cost": 1.6968
}
```