Claude

Inference

Commercial use

Partner

LTX 2.5 Reframe adapts existing video to a new aspect ratio by generating missing frame content. It supports five aspect ratios, 720p and 1080p output, and source placement controls for fitting and positioning the original video.

Learn more about LTX 2.5

Inference

Commercial use

Partner

Playground API Examples

API

lightricks/ltx-2.5/reframe

lightricksltx-2.5reframe

Playground API Examples

API

lightricksltx-2.5

Inference

Commercial use

Partner

Learn more about LTX 2.5

Inference

Commercial use

Partner

Playground API Examples

API

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("lightricks/ltx-2.5/reframe", {
  input: {
    video_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 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("lightricks/ltx-2.5/reframe", {
  input: {
    video_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("lightricks/ltx-2.5/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("lightricks/ltx-2.5/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

URL of the source video.

enable_safety_checker boolean

Default value: true

aspect_ratio AspectRatioEnum

Default value: "16:9"

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

resolution ResolutionEnum

Output tier or explicit frame dimensions. Explicit WxH dimensions must agree with aspect_ratio when both are explicitly provided. Default value: "1080p"

Possible enum values: 720p, 1080p, 720x720, 1080x1080, 720x900, 1080x1350, 900x720, 1350x1080, 720x1280, 1080x1920, 1280x720, 1920x1080

placement LTX25ReframeAnchor | LTX25ReframeRectangle

Source placement. Omit to center at the largest size that fits. Rectangles preserve source aspect ratio, must fit in the frame, and cannot enlarge the source more than 2x.

{
  "video_url": "",
  "enable_safety_checker": true,
  "aspect_ratio": "16:9",
  "resolution": "1080p"
}

Output#

video VideoFile* required

The reframed video file

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

LTX25ReframeAnchor#

anchor AnchorEnum* required

Fit and align the source video within the output frame.

Possible enum values: center, top, bottom, left, right, top_left, top_right, bottom_left, bottom_right

LTX25ReframeRectangle#

x float* required

Left edge as a fraction of output width.

y float* required

Top edge as a fraction of output height.

width float

height float

Related Models

API

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("lightricks/ltx-2.5/reframe", {
  input: {
    video_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 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("lightricks/ltx-2.5/reframe", {
  input: {
    video_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("lightricks/ltx-2.5/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("lightricks/ltx-2.5/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)#

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.

enable_safety_checker boolean

Default value: true

aspect_ratio AspectRatioEnum

Default value: "16:9"

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

resolution ResolutionEnum

Output tier or explicit frame dimensions. Explicit WxH dimensions must agree with aspect_ratio when both are explicitly provided. Default value: "1080p"

Possible enum values: 720p, 1080p, 720x720, 1080x1080, 720x900, 1080x1350, 900x720, 1350x1080, 720x1280, 1080x1920, 1280x720, 1920x1080

placement LTX25ReframeAnchor | LTX25ReframeRectangle

Source placement. Omit to center at the largest size that fits. Rectangles preserve source aspect ratio, must fit in the frame, and cannot enlarge the source more than 2x.

{
  "video_url": "",
  "enable_safety_checker": true,
  "aspect_ratio": "16:9",
  "resolution": "1080p"
}

Output#

video VideoFile* required

The reframed video file

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

LTX25ReframeAnchor#

anchor AnchorEnum* required

Fit and align the source video within the output frame.

Possible enum values: center, top, bottom, left, right, top_left, top_right, bottom_left, bottom_right

LTX25ReframeRectangle#

x float* required

Left edge as a fraction of output width.

y float* required

Top edge as a fraction of output height.

width float

height float

Related Models

LTX 2.5 Reframe Video to Video API Docs | fal