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Lucy Edit [Pro] Video to Video

decart/lucy-edit/pro
Lucy Edit Pro
Inference
Commercial use

About

Generate a video from an input video and text prompt using AI video generation models.

This endpoint accepts a base64-encoded video and a text prompt, then returns an MP4 video file with H.264 encoding.

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("decart/lucy-edit/pro", {
  input: {
    prompt: "Transform the woman's outfit into a regal medieval gown with flowing velvet fabric, intricate gold embroidery, and a jeweled crown, giving her the appearance of a queen.",
    video_url: "https://v3.fal.media/files/monkey/GI7ArkqpQVk3M6V1C_epr_original.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 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("decart/lucy-edit/pro", {
  input: {
    prompt: "Transform the woman's outfit into a regal medieval gown with flowing velvet fabric, intricate gold embroidery, and a jeweled crown, giving her the appearance of a queen.",
    video_url: "https://v3.fal.media/files/monkey/GI7ArkqpQVk3M6V1C_epr_original.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("decart/lucy-edit/pro", {
  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("decart/lucy-edit/pro", {
  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#

prompt string* required

Text description of the desired video content

video_url string* required

URL of the video to edit

resolution ResolutionEnum

Resolution of the generated video Default value: "720p"

Possible enum values: 720p, 480p

sync_mode boolean

If set to true, the function will wait for the video to be generated and uploaded before returning the response. This will increase the latency of the function but it allows you to get the video directly in the response without going through the CDN. Default value: true

enhance_prompt boolean

Whether to enhance the prompt for better results. Default value: true

{
  "prompt": "Transform the woman's outfit into a regal medieval gown with flowing velvet fabric, intricate gold embroidery, and a jeweled crown, giving her the appearance of a queen.",
  "video_url": "https://v3.fal.media/files/monkey/GI7ArkqpQVk3M6V1C_epr_original.mp4",
  "resolution": "720p",
  "sync_mode": true,
  "enhance_prompt": true
}

Output#

video File* required

The generated video

{
  "video": {
    "file_size": 687298,
    "file_name": "generated_video.mp4",
    "content_type": "video/mp4",
    "url": "https://v3b.fal.media/files/b/lion/j1BSX8UnGbBZeJXqSWg2E_generated_video.mp4"
  }
}

Other types#

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.

file_data string

File data

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