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Wav2Lip Video to Video

fal-ai/wav2lip
Lip sync video or image with own audio.
Inference
Commercial use
PlaygroundAPI

About

Run Wav2Lip On Fal

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

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/wav2lip", {
  input: {
    face_url: "",
    audio_url: ""
  },
  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 case your app is running in an environment where you cannot set environment variables, you can set the API Key manually as a client configuration.
import { fal } from "@fal-ai/client";

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

3. Queue#

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/wav2lip", {
  input: {
    face_url: "",
    audio_url: ""
  },
  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/wav2lip", {
  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/wav2lip", {
  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);

Read more about file handling in our file upload guide.

5. Schema#

Input#

face_url string* required

Url to video/image with face to use

audio_url string* required

Url of video/audio to use as audio source

static boolean

If True, then use only first video frame for inference

fps float

Can be specified only if input is a static image (default: 25) Default value: 25

pads list<integer>

Padding (top, bottom, left, right). Please adjust to include chin at least Default value: 0,10,0,0

face_det_batch_size integer

Batch size for face detection Default value: 16

wav2lip_batch_size integer

Batch size for Wav2Lip model(s) Default value: 128

resize_factor integer

Reduce the resolution by this factor. Sometimes, best results are obtained at 480p or 720p Default value: 1

crop list<integer>

Crop video to a smaller region (top, bottom, left, right). Applied after resize_factor and rotate arg. Useful if multiple faces present. -1 implies the value will be auto-inferred based on height, width Default value: 0,-1,0,-1

box list<integer>

Specify a constant bounding box for the face. Use only as a last resort if the face is not detected. Also, might work only if the face is not moving around much. Syntax: (top, bottom, left, right). Default value: -1,-1,-1,-1

rotate boolean

Sometimes videos taken from a phone can be flipped 90deg. If true, will flip video right by 90deg. Use if you get a flipped result, despite feeding a normal looking video

nosmooth boolean

Prevent smoothing face detections over a short temporal window

{
  "face_url": "",
  "audio_url": "",
  "fps": 25,
  "pads": [
    0,
    10,
    0,
    0
  ],
  "face_det_batch_size": 16,
  "wav2lip_batch_size": 128,
  "resize_factor": 1,
  "crop": [
    0,
    -1,
    0,
    -1
  ],
  "box": [
    -1,
    -1,
    -1,
    -1
  ]
}

Output#

video File* required
{
  "video": {
    "url": "https://url.to/generated/file/z9RV14K95DvU.png",
    "content_type": "image/png",
    "file_name": "z9RV14K95DvU.png",
    "file_size": 4404019
  }
}

Other types#

File#

url string* required

The URL where the file can be downloaded from.

content_type string* required

The mime type of the file.

file_name string* required

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

file_size integer* required

The size of the file in bytes.