Edit videos using plain language and Wan VACE

fal-ai/wan-vace-apps/video-edit

Edit videos using plain language and Wan VACE

Inference

Commercial use

Schema

LLMs

Playground API

About

Edits a video using plain language and the Wan 2.2 VACE Fun 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("fal-ai/wan-vace-apps/video-edit", {
  input: {
    prompt: "replace him with a large anthropomorphic polar bear",
    video_url: "https://storage.googleapis.com/falserverless/example_inputs/vace-video-edit-input.mp4"
  },
  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("fal-ai/wan-vace-apps/video-edit", {
  input: {
    prompt: "replace him with a large anthropomorphic polar bear",
    video_url: "https://storage.googleapis.com/falserverless/example_inputs/vace-video-edit-input.mp4"
  },
  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("fal-ai/wan-vace-apps/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("fal-ai/wan-vace-apps/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#

prompt string* required

Prompt to edit the video.

video_url string* required

URL of the input video.

video_type VideoTypeEnum

The type of video you're editing. Use 'general' for most videos, and 'human' for videos emphasizing human subjects and motions. The default value 'auto' means the model will guess based on the first frame of the video. Default value: "auto"

Possible enum values: auto, general, human

image_urls list<string>

URLs of the input images to use as a reference for the generation.

resolution ResolutionEnum

Resolution of the edited video. Default value: "auto"

Possible enum values: auto, 240p, 360p, 480p, 580p, 720p

acceleration Enum

Acceleration to use for inference. Options are 'none' or 'regular'. Accelerated inference will very slightly affect output, but will be significantly faster. Default value: regular

Possible enum values: none, low, regular

enable_auto_downsample boolean

Whether to enable automatic downsampling. If your video has a high frame rate or is long, enabling longer sequences to be generated. The video will be interpolated back to the original frame rate after generation. Default value: true

aspect_ratio AspectRatioEnum

Aspect ratio of the edited video. Default value: "auto"

Possible enum values: auto, 16:9, 9:16, 1:1

auto_downsample_min_fps float

The minimum frames per second to downsample the video to. Default value: 15

enable_safety_checker boolean

Whether to enable the safety checker. Default value: true

return_frames_zip boolean

Whether to include a ZIP archive containing all generated frames.

{
  "prompt": "replace him with a large anthropomorphic polar bear",
  "video_url": "https://storage.googleapis.com/falserverless/example_inputs/vace-video-edit-input.mp4",
  "video_type": "auto",
  "image_urls": [],
  "resolution": "auto",
  "acceleration": "regular",
  "enable_auto_downsample": true,
  "aspect_ratio": "auto",
  "auto_downsample_min_fps": 15,
  "enable_safety_checker": true
}

Output#

video VideoFile* required

The edited video.

frames_zip File

ZIP archive of generated frames if requested.

{
  "video": {
    "url": "https://storage.googleapis.com/falserverless/example_outputs/vace-video-edit-output.mp4"
  }
}

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

File#

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.

Loading API documentation…

1. Calling the API

2. Authentication

API Key

3. Queue

4. Files

5. Schema

About

Edits a video using plain language and the Wan 2.2 VACE Fun 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("fal-ai/wan-vace-apps/video-edit", {
  input: {
    prompt: "replace him with a large anthropomorphic polar bear",
    video_url: "https://storage.googleapis.com/falserverless/example_inputs/vace-video-edit-input.mp4"
  },
  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("fal-ai/wan-vace-apps/video-edit", {
  input: {
    prompt: "replace him with a large anthropomorphic polar bear",
    video_url: "https://storage.googleapis.com/falserverless/example_inputs/vace-video-edit-input.mp4"
  },
  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("fal-ai/wan-vace-apps/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("fal-ai/wan-vace-apps/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#

prompt string* required

Prompt to edit the video.

video_url string* required

URL of the input video.

video_type VideoTypeEnum

Possible enum values: auto, general, human

image_urls list<string>

URLs of the input images to use as a reference for the generation.

resolution ResolutionEnum

Resolution of the edited video. Default value: "auto"

Possible enum values: auto, 240p, 360p, 480p, 580p, 720p

acceleration Enum

Acceleration to use for inference. Options are 'none' or 'regular'. Accelerated inference will very slightly affect output, but will be significantly faster. Default value: regular

Possible enum values: none, low, regular

enable_auto_downsample boolean

aspect_ratio AspectRatioEnum

Aspect ratio of the edited video. Default value: "auto"

Possible enum values: auto, 16:9, 9:16, 1:1

auto_downsample_min_fps float

The minimum frames per second to downsample the video to. Default value: 15

enable_safety_checker boolean

Whether to enable the safety checker. Default value: true

return_frames_zip boolean

Whether to include a ZIP archive containing all generated frames.

{
  "prompt": "replace him with a large anthropomorphic polar bear",
  "video_url": "https://storage.googleapis.com/falserverless/example_inputs/vace-video-edit-input.mp4",
  "video_type": "auto",
  "image_urls": [],
  "resolution": "auto",
  "acceleration": "regular",
  "enable_auto_downsample": true,
  "aspect_ratio": "auto",
  "auto_downsample_min_fps": 15,
  "enable_safety_checker": true
}

Output#

video VideoFile* required

The edited video.

frames_zip File

ZIP archive of generated frames if requested.

{
  "video": {
    "url": "https://storage.googleapis.com/falserverless/example_outputs/vace-video-edit-output.mp4"
  }
}

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

File#

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.

Wan VACE Video Edit Video to Video API Docs | fal

fal-ai/wan-vace-apps/video-edit

fal-ai/wan-vace-apps/video-edit

Table of contents

1. Calling the API

2. Authentication

3. Queue

4. Files

5. Schema

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#

File#

Table of contents

1. Calling the API

2. Authentication

3. Queue

4. Files

5. Schema

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#

File#