HappyHorse video editing supports advanced video editing through natural language instructions. It allows for local or global editing of video elements using up to 5 reference images.

alibaba/happy-horse/video-edit

HappyHorse video editing supports advanced video editing through natural language instructions. It allows for local or global editing of video elements using up to 5 reference images.

Inference

Commercial use

Partner

Schema

Playground API Examples

alibaba/happy-horse/video-edit

Schema

HappyHorse video editing supports advanced video editing through natural language instructions. It allows for local or global editing of video elements using up to 5 reference images.

alibaba/happy-horse/video-edit

HappyHorse video editing supports advanced video editing through natural language instructions. It allows for local or global editing of video elements using up to 5 reference images.

Inference

Commercial use

Partner

Schema

Playground API Examples

About

Edit a source video using the Happy Horse video-editing model.

1. Calling the API#

Install the client#

The client provides a convenient way to interact with the model API.

npm install --save @fal-ai/client

Migrate to @fal-ai/client

The @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Install the new package and update your imports — see client setup.

Setup your API Key#

Set FAL_KEY as an environment variable in your runtime.

export FAL_KEY="YOUR_API_KEY"

Submit a request#

The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("alibaba/happy-horse/video-edit", {
  input: {
    video_url: "https://storage.googleapis.com/falserverless/example_inputs/editto/example_in.mp4",
    prompt: "Recolor the sky to a deep purple sunset."
  },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

2. Authentication#

The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.

API Key#

In an environment where you cannot set environment variables, you can configure the API key manually on the client.

import { fal } from "@fal-ai/client";

fal.config({
  credentials: "YOUR_FAL_KEY"
});

Protect your API Key

When running code on the client-side (e.g. in a browser, mobile app or GUI applications), make sure to not expose your FAL_KEY. Instead, use a server-side proxy to make requests to the API. For more information, check out our server-side integration guide.

3. Queue#

Long-running requests

For long-running requests, such as training jobs or models with slower inference times, it is recommended to check the Queue status and rely on Webhooks instead of blocking while waiting for the result.

Submit a request#

The client API provides a convenient way to submit requests to the model.

import { fal } from "@fal-ai/client";

const { request_id } = await fal.queue.submit("alibaba/happy-horse/video-edit", {
  input: {
    video_url: "https://storage.googleapis.com/falserverless/example_inputs/editto/example_in.mp4",
    prompt: "Recolor the sky to a deep purple sunset."
  },
  webhookUrl: "https://optional.webhook.url/for/results",
});

Fetch request status#

You can fetch the status of a request to check if it is completed or still in progress.

import { fal } from "@fal-ai/client";

const status = await fal.queue.status("alibaba/happy-horse/video-edit", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
  logs: true,
});

Get the result#

Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.

import { fal } from "@fal-ai/client";

const result = await fal.queue.result("alibaba/happy-horse/video-edit", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);

4. Files#

Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.

Data URI (base64)#

You can pass a Base64 data URI as a file input. The API will handle the file decoding for you. Keep in mind that for large files, this alternative although convenient can impact the request performance.

Hosted files (URL)#

You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.

Uploading files#

We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.

import { fal } from "@fal-ai/client";

const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);

Auto uploads

The client will auto-upload the file for you if you pass a binary object (e.g. File, Data).

Read more about file handling in our file upload guide.

5. Schema#

Input#

video_url string* required

URL of the source video to edit. Formats: MP4, MOV (H.264 recommended). Duration: 3-60 s. Longer side ≤ 2160 px, shorter side ≥ 320 px. Aspect ratio between 1:2.5 and 2.5:1. Frame rate > 8 fps. Max 100 MB. The output video preserves the source aspect ratio. Output duration matches the input video, capped at 15 s (longer inputs are truncated to the first 15 s).

Max file size: 100.0MB, Min duration: 3s, Max duration: 60s, Timeout: 30.0s

prompt string* required

Text prompt describing the desired edit. Reference any supplied reference images using @Image1, @Image2, ... up to @Image5. Max 2500 characters.

reference_image_urls list<string>

Optional reference images used to guide the edit (up to 5). Formats: JPEG, JPG, PNG, WEBP. Dimensions must be at least 300px. Aspect ratio between 1:2.5 and 2.5:1. Max 10 MB each.

resolution ResolutionEnum

Output video resolution tier. Default value: "1080p"

Possible enum values: 720p, 1080p

audio_setting AudioSettingEnum

Audio handling. 'auto': model decides whether to regenerate audio. 'origin': preserve the original audio from the input video. Default value: "auto"

Possible enum values: auto, origin

seed integer

Random seed for reproducibility (0-2147483647).

enable_safety_checker boolean

Enable content moderation for input and output. Disabling it requires account authorization; unauthorized requests are always checked. Default value: true

{
  "video_url": "https://storage.googleapis.com/falserverless/example_inputs/editto/example_in.mp4",
  "prompt": "Recolor the sky to a deep purple sunset.",
  "resolution": "1080p",
  "audio_setting": "auto",
  "enable_safety_checker": true
}

Output#

video VideoFile* required

The generated video file.

seed integer* required

The seed used for generation.

{
  "video": {
    "url": "",
    "content_type": "image/png",
    "file_name": "z9RV14K95DvU.png",
    "file_size": 4404019
  }
}

Other types#

VideoFile#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

width integer

The width of the video

height integer

The height of the video

fps float

The FPS of the video

duration float

The duration of the video

num_frames integer

The number of frames in the video

Related Models

About

Edit a source video using the Happy Horse video-editing model.

1. Calling the API#

Install the client#

The client provides a convenient way to interact with the model API.

npm install --save @fal-ai/client

Migrate to @fal-ai/client

The @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Install the new package and update your imports — see client setup.

Setup your API Key#

Set FAL_KEY as an environment variable in your runtime.

export FAL_KEY="YOUR_API_KEY"

Submit a request#

The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("alibaba/happy-horse/video-edit", {
  input: {
    video_url: "https://storage.googleapis.com/falserverless/example_inputs/editto/example_in.mp4",
    prompt: "Recolor the sky to a deep purple sunset."
  },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

2. Authentication#

The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.

API Key#

In an environment where you cannot set environment variables, you can configure the API key manually on the client.

import { fal } from "@fal-ai/client";

fal.config({
  credentials: "YOUR_FAL_KEY"
});

Protect your API Key

3. Queue#

Long-running requests

Submit a request#

The client API provides a convenient way to submit requests to the model.

import { fal } from "@fal-ai/client";

const { request_id } = await fal.queue.submit("alibaba/happy-horse/video-edit", {
  input: {
    video_url: "https://storage.googleapis.com/falserverless/example_inputs/editto/example_in.mp4",
    prompt: "Recolor the sky to a deep purple sunset."
  },
  webhookUrl: "https://optional.webhook.url/for/results",
});

Fetch request status#

You can fetch the status of a request to check if it is completed or still in progress.

import { fal } from "@fal-ai/client";

const status = await fal.queue.status("alibaba/happy-horse/video-edit", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
  logs: true,
});

Get the result#

Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.

import { fal } from "@fal-ai/client";

const result = await fal.queue.result("alibaba/happy-horse/video-edit", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);

4. Files#

Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.

Data URI (base64)#

Hosted files (URL)#

You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.

Uploading files#

We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.

import { fal } from "@fal-ai/client";

const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);

Auto uploads

The client will auto-upload the file for you if you pass a binary object (e.g. File, Data).

Read more about file handling in our file upload guide.

5. Schema#

Input#

video_url string* required

Max file size: 100.0MB, Min duration: 3s, Max duration: 60s, Timeout: 30.0s

prompt string* required

Text prompt describing the desired edit. Reference any supplied reference images using @Image1, @Image2, ... up to @Image5. Max 2500 characters.

reference_image_urls list<string>

Optional reference images used to guide the edit (up to 5). Formats: JPEG, JPG, PNG, WEBP. Dimensions must be at least 300px. Aspect ratio between 1:2.5 and 2.5:1. Max 10 MB each.

resolution ResolutionEnum

Output video resolution tier. Default value: "1080p"

Possible enum values: 720p, 1080p

audio_setting AudioSettingEnum

Audio handling. 'auto': model decides whether to regenerate audio. 'origin': preserve the original audio from the input video. Default value: "auto"

Possible enum values: auto, origin

seed integer

Random seed for reproducibility (0-2147483647).

enable_safety_checker boolean

Enable content moderation for input and output. Disabling it requires account authorization; unauthorized requests are always checked. Default value: true

{
  "video_url": "https://storage.googleapis.com/falserverless/example_inputs/editto/example_in.mp4",
  "prompt": "Recolor the sky to a deep purple sunset.",
  "resolution": "1080p",
  "audio_setting": "auto",
  "enable_safety_checker": true
}

Output#

video VideoFile* required

The generated video file.

seed integer* required

The seed used for generation.

{
  "video": {
    "url": "",
    "content_type": "image/png",
    "file_name": "z9RV14K95DvU.png",
    "file_size": 4404019
  }
}

Other types#

VideoFile#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

width integer

The width of the video

height integer

The height of the video

fps float

The FPS of the video

duration float

The duration of the video

num_frames integer

The number of frames in the video

Related Models

Happy Horse Video Edit Video to Video API Docs | fal

alibaba/happy-horse/video-edit

Table of contents

Table of contents

alibaba/happy-horse/video-edit

About

1. Calling the API#

Install the client#

Migrate to @fal-ai/client

Setup your API Key#

Submit a request#

2. Authentication#

API Key#

Protect your API Key

3. Queue#

Long-running requests

Submit a request#

Fetch request status#

Get the result#

4. Files#

Data URI (base64)#

Hosted files (URL)#

Uploading files#

Auto uploads

5. Schema#

Input#

Output#

Other types#

VideoFile#

Related Models

Table of contents

About

1. Calling the API#

Install the client#

Migrate to @fal-ai/client

Setup your API Key#

Submit a request#

2. Authentication#

API Key#

Protect your API Key

3. Queue#

Long-running requests

Submit a request#

Fetch request status#

Get the result#

4. Files#

Data URI (base64)#

Hosted files (URL)#

Uploading files#

Auto uploads

5. Schema#

Input#

Output#

Other types#

VideoFile#

Related Models