LTX-2.5 is Lightricks' open-source audio-video model. This endpoint animates a still image into video with synchronized audio in a single pass, in a speed-optimized mode for quick iteration.

lightricks/ltx-2.5/image-to-video/fast

LTX-2.5 is Lightricks' open-source audio-video model. This endpoint animates a still image into video with synchronized audio in a single pass, in a speed-optimized mode for quick iteration.

Learn more about LTX 2.5

Inference

Commercial use

Partner

Schema

Playground API Examples

SandboxOpen in Sandbox

lightricks/ltx-2.5/image-to-video/fast

Schema

SandboxOpen in Sandbox

LTX-2.5 is Lightricks' open-source audio-video model. This endpoint animates a still image into video with synchronized audio in a single pass, in a speed-optimized mode for quick iteration.

lightricks/ltx-2.5/image-to-video/fast

LTX-2.5 is Lightricks' open-source audio-video model. This endpoint animates a still image into video with synchronized audio in a single pass, in a speed-optimized mode for quick iteration.

Learn more about LTX 2.5

Inference

Commercial use

Partner

Schema

Playground API Examples

SandboxOpen in Sandbox

About

Image To Video Fast

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/image-to-video/fast", {
  input: {
    image_url: "https://v3b.fal.media/files/b/0a90dd31/uJG2pMMJMcnVeC4PmwnAF_image_004.png",
    prompt: "Periscope-level shot from behind tall grass of two Maasai warriors mid-leap during an adumu jumping dance, bodies fully airborne against a golden savanna sunset, red shuka robes frozen in motion, dust kicked up from the earth catching backlight, 85mm f/1.4 isolating the pair from a blurred circle of onlookers, Steve McCurry meets Emmanuel Lubezki"
  },
  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/image-to-video/fast", {
  input: {
    image_url: "https://v3b.fal.media/files/b/0a90dd31/uJG2pMMJMcnVeC4PmwnAF_image_004.png",
    prompt: "Periscope-level shot from behind tall grass of two Maasai warriors mid-leap during an adumu jumping dance, bodies fully airborne against a golden savanna sunset, red shuka robes frozen in motion, dust kicked up from the earth catching backlight, 85mm f/1.4 isolating the pair from a blurred circle of onlookers, Steve McCurry meets Emmanuel Lubezki"
  },
  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/image-to-video/fast", {
  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/image-to-video/fast", {
  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#

image_url string* required

The URL of the start image to use for the generated video.

end_image_url string

The URL of the end image to use for the generated video. When provided, generates a transition video between start and end frames.

prompt string* required

The prompt to use for the generated video

duration DurationEnum

The duration of the generated video in seconds. At 720p and 1080p, 24 or 25 FPS supports up to 20 seconds, while 48 or 50 FPS supports up to 10 seconds. At 1440p and 2160p, all frame rates support up to 10 seconds. Set to 'auto' to let the model choose the duration automatically. Default value: "auto"

Possible enum values: 6, 8, 10, 12, 14, 16, 18, 20, auto

resolution ResolutionEnum

The resolution of the generated video. Default value: "1080p"

Possible enum values: 720p, 1080p, 1440p, 2160p

aspect_ratio AspectRatioEnum

The aspect ratio of the generated video. If 'auto', the aspect ratio will be determined automatically based on the input image. Default value: "auto"

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

fps FramesperSecondEnum

The frames per second of the generated video. Default value: "25"

Possible enum values: 24, 25, 48, 50

generate_audio boolean

Whether to generate audio for the generated video Default value: true

camera_motion Enum

Optional camera motion applied to the generated video.

Possible enum values: dolly_in, dolly_out, dolly_left, dolly_right, jib_up, jib_down, static, focus_shift

{
  "image_url": "https://v3b.fal.media/files/b/0a90dd31/uJG2pMMJMcnVeC4PmwnAF_image_004.png",
  "prompt": "Periscope-level shot from behind tall grass of two Maasai warriors mid-leap during an adumu jumping dance, bodies fully airborne against a golden savanna sunset, red shuka robes frozen in motion, dust kicked up from the earth catching backlight, 85mm f/1.4 isolating the pair from a blurred circle of onlookers, Steve McCurry meets Emmanuel Lubezki",
  "duration": "auto",
  "resolution": "1080p",
  "aspect_ratio": "auto",
  "fps": 25,
  "generate_audio": true
}

Output#

video VideoFile* required

The generated video file

{
  "video": {
    "url": "https://v3b.fal.media/files/b/0a90dd0b/JCP0MJDH3ioOFzRd7GsGi_aB0OxLmA.mp4",
    "file_name": "JCP0MJDH3ioOFzRd7GsGi_aB0OxLmA.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

About

Image To Video Fast

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/image-to-video/fast", {
  input: {
    image_url: "https://v3b.fal.media/files/b/0a90dd31/uJG2pMMJMcnVeC4PmwnAF_image_004.png",
    prompt: "Periscope-level shot from behind tall grass of two Maasai warriors mid-leap during an adumu jumping dance, bodies fully airborne against a golden savanna sunset, red shuka robes frozen in motion, dust kicked up from the earth catching backlight, 85mm f/1.4 isolating the pair from a blurred circle of onlookers, Steve McCurry meets Emmanuel Lubezki"
  },
  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/image-to-video/fast", {
  input: {
    image_url: "https://v3b.fal.media/files/b/0a90dd31/uJG2pMMJMcnVeC4PmwnAF_image_004.png",
    prompt: "Periscope-level shot from behind tall grass of two Maasai warriors mid-leap during an adumu jumping dance, bodies fully airborne against a golden savanna sunset, red shuka robes frozen in motion, dust kicked up from the earth catching backlight, 85mm f/1.4 isolating the pair from a blurred circle of onlookers, Steve McCurry meets Emmanuel Lubezki"
  },
  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/image-to-video/fast", {
  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/image-to-video/fast", {
  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#

image_url string* required

The URL of the start image to use for the generated video.

end_image_url string

The URL of the end image to use for the generated video. When provided, generates a transition video between start and end frames.

prompt string* required

The prompt to use for the generated video

duration DurationEnum

Possible enum values: 6, 8, 10, 12, 14, 16, 18, 20, auto

resolution ResolutionEnum

The resolution of the generated video. Default value: "1080p"

Possible enum values: 720p, 1080p, 1440p, 2160p

aspect_ratio AspectRatioEnum

The aspect ratio of the generated video. If 'auto', the aspect ratio will be determined automatically based on the input image. Default value: "auto"

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

fps FramesperSecondEnum

The frames per second of the generated video. Default value: "25"

Possible enum values: 24, 25, 48, 50

generate_audio boolean

Whether to generate audio for the generated video Default value: true

camera_motion Enum

Optional camera motion applied to the generated video.

Possible enum values: dolly_in, dolly_out, dolly_left, dolly_right, jib_up, jib_down, static, focus_shift

{
  "image_url": "https://v3b.fal.media/files/b/0a90dd31/uJG2pMMJMcnVeC4PmwnAF_image_004.png",
  "prompt": "Periscope-level shot from behind tall grass of two Maasai warriors mid-leap during an adumu jumping dance, bodies fully airborne against a golden savanna sunset, red shuka robes frozen in motion, dust kicked up from the earth catching backlight, 85mm f/1.4 isolating the pair from a blurred circle of onlookers, Steve McCurry meets Emmanuel Lubezki",
  "duration": "auto",
  "resolution": "1080p",
  "aspect_ratio": "auto",
  "fps": 25,
  "generate_audio": true
}

Output#

video VideoFile* required

The generated video file

{
  "video": {
    "url": "https://v3b.fal.media/files/b/0a90dd0b/JCP0MJDH3ioOFzRd7GsGi_aB0OxLmA.mp4",
    "file_name": "JCP0MJDH3ioOFzRd7GsGi_aB0OxLmA.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

LTX 2.5 Fast Image to Video API Docs | fal

lightricks/ltx-2.5/image-to-video/fast

Table of contents

Table of contents

lightricks/ltx-2.5/image-to-video/fast

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

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