LTX-2.3 Reframe converts your videos to any aspect ratio without destructive cropping. It intelligently recenters the original footage and generatively fills the newly exposed areas with content that seamlessly matches the scene, so the result looks like it was shot natively in the target format. Turn landscape footage into vertical 9:16 for social, square 1:1 for feeds, or anything in between. Supports videos up to 60 seconds, with 720p and 1080p outputs across 1:1, 4:5, 5:4, 9:16 and 16:9.

fal-ai/ltx-2.3/reframe

Learn more about LTX 2.3

Inference

Commercial use

Schema

LLMs

Playground API Examples

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fal-ai/ltx-2.3/reframe

Schema

LLMs

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fal-ai/ltx-2.3/reframe

Learn more about LTX 2.3

Inference

Commercial use

Schema

LLMs

Playground API Examples

1. Calling the API

2. Authentication

API Key

3. Queue

4. Files

5. Schema

About

Reframe a video to a new aspect ratio, filling the newly exposed areas with generated content that matches the original, using LTX 2.3.

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/ltx-2.3/reframe", {
  input: {
    video_url: "https://storage.googleapis.com/falserverless/example_outputs/ltxv-2-t2v-output.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/ltx-2.3/reframe", {
  input: {
    video_url: "https://storage.googleapis.com/falserverless/example_outputs/ltxv-2-t2v-output.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/ltx-2.3/reframe", {
  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/ltx-2.3/reframe", {
  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

The URL of the video to reframe. Must be publicly accessible or a base64 data URI. The video is re-cropped to the target aspect ratio and the newly exposed areas are filled with generated content that matches the original. Max duration 60 seconds.

aspect_ratio AspectRatioEnum

The target aspect ratio to reframe the video to. Default value: "16:9"

Possible enum values: 1:1, 4:5, 5:4, 9:16, 16:9

resolution ResolutionEnum

The target output resolution tier. Combined with the aspect ratio to determine the output size. Default value: "1080p"

Possible enum values: 720p, 1080p

{
  "video_url": "https://storage.googleapis.com/falserverless/example_outputs/ltxv-2-t2v-output.mp4",
  "aspect_ratio": "16:9",
  "resolution": "1080p"
}

Output#

video VideoFile* required

The reframed video file

{
  "video": {
    "url": "https://v3b.fal.media/files/b/0a90e00f/xvl9SlF6b7a8327wKJDvm_JW6crfr3.mp4",
    "file_name": "ltxv-2-3-reframe-output.mp4",
    "content_type": "video/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

Related Models

Loading API documentation…

fal-ai/ltx-2.3/reframe

fal-ai/ltx-2.3/reframe

fal-ai/ltx-2.3/reframe

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#

Related Models

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#

Related Models