---
title: RunwayML Aleph 2
description: RunwayML's video editing model. Edit one frame to update your whole video, make changes across multiple shots, and work with up to 30 seconds of video. Supports keyframe-guided editing for precise control over specific moments in the clip.
image: https://developers.cloudflare.com/dev-products-preview.png
---

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![RunwayML logo](https://developers.cloudflare.com/_astro/runway.Cq8Cjov4.svg) 

#  RunwayML Aleph 2 

Text-to-Video • RunwayML 

`runwayml/aleph-2` 

RunwayML's video editing model. Edit one frame to update your whole video, make changes across multiple shots, and work with up to 30 seconds of video. Supports keyframe-guided editing for precise control over specific moments in the clip.

| Model Info        |                                                                                                                    |
| ----------------- | ------------------------------------------------------------------------------------------------------------------ |
| Terms and License | [link ↗](https://runwayml.com/terms-of-use)                                                                        |
| More information  | [link ↗](https://runwayml.com/)                                                                                    |
| Pricing           | [View pricing in the Cloudflare dashboard ↗](https://dash.cloudflare.com/?to=/:account/ai/models/runwayml/aleph-2) |

## Usage

* [ TypeScript ](#tab-panel-1826)
* [ cURL ](#tab-panel-1827)

TypeScript

```
const response = await env.AI.run(  'runwayml/aleph-2',  {    prompt: 'Transform the scene into a golden-hour sunset with warm lighting',    video_uri: 'https://pub-04a6d208d361438ea01b797e6973bd19.r2.dev/catalog/runwayml__gen-4.5/cinematic-scene.mp4',  },)console.log(response)
```

Terminal window

```
curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run \  --header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \  --header "Content-Type: application/json" \  --data '{  "model": "runwayml/aleph-2",  "input": {    "prompt": "Transform the scene into a golden-hour sunset with warm lighting",    "video_uri": "https://pub-04a6d208d361438ea01b797e6973bd19.r2.dev/catalog/runwayml__gen-4.5/cinematic-scene.mp4"  }}'
```

* [ Output ](#tab-panel-1824)
* [ Raw response ](#tab-panel-1825)

```
{  "state": "Completed",  "result": {    "video": "https://dnznrvs05pmza.cloudfront.net/7449093b-e574-41a5-8308-05e4692fa652.mp4"  },  "gatewayMetadata": {    "keySource": "Unified"  }}
```

## Examples

**Keyframe-Guided Edit**  — Edit a video using a reference image anchored to the first frame of the output 

* [ TypeScript ](#tab-panel-1834)
* [ cURL ](#tab-panel-1835)

TypeScript

```
const response = await env.AI.run(  'runwayml/aleph-2',  {    prompt: 'Edit the video to match the provided reference frame',    video_uri: 'https://pub-04a6d208d361438ea01b797e6973bd19.r2.dev/catalog/runwayml__gen-4.5/nature-close-up.mp4',    prompt_images: [      {        uri: 'https://upload.wikimedia.org/wikipedia/commons/8/85/Tour_Eiffel_Wikimedia_Commons_(cropped).jpg',        position: 'first',      },    ],  },)console.log(response)
```

Terminal window

```
curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run \  --header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \  --header "Content-Type: application/json" \  --data '{  "model": "runwayml/aleph-2",  "input": {    "prompt": "Edit the video to match the provided reference frame",    "video_uri": "https://pub-04a6d208d361438ea01b797e6973bd19.r2.dev/catalog/runwayml__gen-4.5/nature-close-up.mp4",    "prompt_images": [      {        "uri": "https://upload.wikimedia.org/wikipedia/commons/8/85/Tour_Eiffel_Wikimedia_Commons_(cropped).jpg",        "position": "first"      }    ]  }}'
```

* [ Output ](#tab-panel-1828)
* [ Raw response ](#tab-panel-1829)

```
{  "state": "Completed",  "result": {    "video": "https://dnznrvs05pmza.cloudfront.net/cd7388fe-09d6-4b16-afc5-24bb315eaf14.mp4"  },  "gatewayMetadata": {    "keySource": "Unified"  }}
```

**Timed Keyframe Edit**  — Place a guidance image at a specific timestamp within the input video using keyframes\[\].seconds 

* [ TypeScript ](#tab-panel-1836)
* [ cURL ](#tab-panel-1837)

TypeScript

```
const response = await env.AI.run(  'runwayml/aleph-2',  {    prompt: 'Change the background to a futuristic cityscape at night',    video_uri: 'https://pub-04a6d208d361438ea01b797e6973bd19.r2.dev/catalog/runwayml__gen-4.5/simple-text-to-video.mp4',    keyframes: [      {        uri: 'https://upload.wikimedia.org/wikipedia/commons/8/85/Tour_Eiffel_Wikimedia_Commons_(cropped).jpg',        seconds: 2.0,      },    ],  },)console.log(response)
```

Terminal window

```
curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run \  --header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \  --header "Content-Type: application/json" \  --data '{  "model": "runwayml/aleph-2",  "input": {    "prompt": "Change the background to a futuristic cityscape at night",    "video_uri": "https://pub-04a6d208d361438ea01b797e6973bd19.r2.dev/catalog/runwayml__gen-4.5/simple-text-to-video.mp4",    "keyframes": [      {        "uri": "https://upload.wikimedia.org/wikipedia/commons/8/85/Tour_Eiffel_Wikimedia_Commons_(cropped).jpg",        "seconds": 2.0      }    ]  }}'
```

* [ Output ](#tab-panel-1830)
* [ Raw response ](#tab-panel-1831)

```
{  "state": "Completed",  "result": {    "video": "https://dnznrvs05pmza.cloudfront.net/a7e054fa-1cf2-4265-a35c-518b8c4d6a1a.mp4"  },  "gatewayMetadata": {    "keySource": "Unified"  }}
```

**Content Moderation Override**  — Edit a video featuring public figures with relaxed content moderation 

* [ TypeScript ](#tab-panel-1838)
* [ cURL ](#tab-panel-1839)

TypeScript

```
const response = await env.AI.run(  'runwayml/aleph-2',  {    prompt: 'Make the background a dramatic stormy sky',    video_uri: 'https://pub-04a6d208d361438ea01b797e6973bd19.r2.dev/catalog/runwayml__gen-4.5/cinematic-scene.mp4',    content_moderation: {      public_figure_threshold: 'low',    },  },)console.log(response)
```

Terminal window

```
curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run \  --header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \  --header "Content-Type: application/json" \  --data '{  "model": "runwayml/aleph-2",  "input": {    "prompt": "Make the background a dramatic stormy sky",    "video_uri": "https://pub-04a6d208d361438ea01b797e6973bd19.r2.dev/catalog/runwayml__gen-4.5/cinematic-scene.mp4",    "content_moderation": {      "public_figure_threshold": "low"    }  }}'
```

* [ Output ](#tab-panel-1832)
* [ Raw response ](#tab-panel-1833)

```
{  "state": "Completed",  "result": {    "video": "https://dnznrvs05pmza.cloudfront.net/ea5b1ccd-3dd6-43c3-86e3-5ed720849e92.mp4"  },  "gatewayMetadata": {    "keySource": "Unified"  }}
```

## Parameters

* [ Input ](#tab-panel-1840)
* [ Output ](#tab-panel-1841)

▶content\_moderation{}

`object`Settings that affect the behavior of the content moderation system

duration

`number`exclusiveMinimum: 0Duration of the source video in seconds. Used for billing only — not sent to RunwayML. Provide this so the gateway can compute per-second video cost accurately.

▶keyframes\[\]

`array`maxItems: 5minItems: 1Timed guidance images placed at specific points in the input video. Each entry has a uri and either seconds (absolute timestamp) or at (fractional position). Up to 5.

prompt

`string`requiredmaxLength: 1000minLength: 1Text prompt describing the edit to apply to the input video

▶prompt\_images\[\]

`array`maxItems: 5minItems: 1Image keyframes for guiding the edit at specific points in the output video. Up to 5.

seed

`integer`maximum: 4294967295minimum: 0Random seed for reproducible results

video\_uri

`string`requiredHTTPS URL, Runway URI, or data URI of the source video to edit (≤30 seconds)

video

`string`format: uriURL to the edited video

## API Schemas (Raw)

Input [ ](https://developers.cloudflare.com/ai/models/runwayml/aleph-2/schema-input.json "Open") [ ](https://developers.cloudflare.com/ai/models/runwayml/aleph-2/schema-input.json "Download") 

Output [ ](https://developers.cloudflare.com/ai/models/runwayml/aleph-2/schema-output.json "Open") [ ](https://developers.cloudflare.com/ai/models/runwayml/aleph-2/schema-output.json "Download")

```json
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```
