Luma Ray 3.2 animates a source image into cinematic motion guided by a text prompt, preserving the starting frame's look while controlling resolution, duration, and seamless looping.

luma/agent/ray/v3.2/image-to-video

Luma Ray 3.2 animates a source image into cinematic motion guided by a text prompt, preserving the starting frame's look while controlling resolution, duration, and seamless looping.

Inference

Commercial use

Partner

Schema

Playground API Examples

SandboxOpen in Sandbox

luma/agent/ray/v3.2/image-to-video

Schema

SandboxOpen in Sandbox

Luma Ray 3.2 animates a source image into cinematic motion guided by a text prompt, preserving the starting frame's look while controlling resolution, duration, and seamless looping.

luma/agent/ray/v3.2/image-to-video

Luma Ray 3.2 animates a source image into cinematic motion guided by a text prompt, preserving the starting frame's look while controlling resolution, duration, and seamless looping.

Inference

Commercial use

Partner

Schema

Playground API Examples

SandboxOpen in Sandbox

About

ray-3.2 image-to-video generation via the Luma Agents 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("luma/agent/ray/v3.2/image-to-video", {
  input: {
    prompt: "Low-angle shot of a majestic tiger prowling through a snowy landscape, leaving paw prints on the white blanket."
  },
  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("luma/agent/ray/v3.2/image-to-video", {
  input: {
    prompt: "Low-angle shot of a majestic tiger prowling through a snowy landscape, leaving paw prints on the white blanket."
  },
  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("luma/agent/ray/v3.2/image-to-video", {
  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("luma/agent/ray/v3.2/image-to-video", {
  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#

prompt string* required

Text prompt describing the motion/scene to generate.

image_url string

URL of the image used as the first frame of the video. Provide either image_url (optionally with end_image_url) or keyframes — the two anchoring modes are mutually exclusive.

end_image_url string

Optional URL of an image used as the last frame. When set, the model interpolates between image_url and end_image_url. Cannot be combined with keyframes.

aspect_ratio AspectRatioEnum

Aspect ratio of the generated video. Default value: "16:9"

Possible enum values: 3:4, 4:3, 1:1, 9:16, 16:9, 21:9

resolution ResolutionEnum

Resolution of the generated video. Higher resolutions cost more. Default value: "540p"

Possible enum values: 540p, 720p, 1080p

duration DurationEnum

Duration of the generated video. 10s requires multi-keyframe input (keyframes / keyframe_indexes); it is not supported with a single image_url / end_image_url anchor. Default value: "5s"

Possible enum values: 5s, 10s

loop boolean

Generate a seamless loop. Only valid for standard-dynamic-range generations without an end frame or keyframes.

hdr boolean

Generate an HDR-encoded MP4. Requires HDR access on the account and a resolution of 720p or 1080p; not supported with loop.

exr_export boolean

Also export an EXR file alongside the MP4. Requires hdr=true and HDR access.

keyframes list<string>

Multi-keyframe image-to-video guide frames: 1-64 image URLs pinned at the positions given by keyframe_indexes. Mutually exclusive with image_url, end_image_url, and loop; unlocks 10s and HDR. Provide keyframes and keyframe_indexes together (same length).

keyframe_indexes list<integer>

Output-frame positions (duration x 24fps: 5s -> 0-120, 10s -> 0-240) where each keyframes[i] is anchored. Non-negative, unique, and the same length as keyframes.

enable_safety_checker boolean

Authorized callers may set false to request relaxed screening. Default value: true

{
  "prompt": "Low-angle shot of a majestic tiger prowling through a snowy landscape, leaving paw prints on the white blanket.",
  "image_url": "https://storage.googleapis.com/falserverless/gallery/example_inputs_liuyifei.png",
  "aspect_ratio": "16:9",
  "resolution": "540p",
  "duration": "5s",
  "enable_safety_checker": true
}

Output#

video File* required

The generated video.

exr_file File

The generated EXR sidecar when exr_export is true. This may be a single EXR file or a ZIP package depending on Luma's export shape.

{
  "video": {
    "url": "",
    "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

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.

Related Models

About

ray-3.2 image-to-video generation via the Luma Agents 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("luma/agent/ray/v3.2/image-to-video", {
  input: {
    prompt: "Low-angle shot of a majestic tiger prowling through a snowy landscape, leaving paw prints on the white blanket."
  },
  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("luma/agent/ray/v3.2/image-to-video", {
  input: {
    prompt: "Low-angle shot of a majestic tiger prowling through a snowy landscape, leaving paw prints on the white blanket."
  },
  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("luma/agent/ray/v3.2/image-to-video", {
  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("luma/agent/ray/v3.2/image-to-video", {
  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#

prompt string* required

Text prompt describing the motion/scene to generate.

image_url string

URL of the image used as the first frame of the video. Provide either image_url (optionally with end_image_url) or keyframes — the two anchoring modes are mutually exclusive.

end_image_url string

Optional URL of an image used as the last frame. When set, the model interpolates between image_url and end_image_url. Cannot be combined with keyframes.

aspect_ratio AspectRatioEnum

Aspect ratio of the generated video. Default value: "16:9"

Possible enum values: 3:4, 4:3, 1:1, 9:16, 16:9, 21:9

resolution ResolutionEnum

Resolution of the generated video. Higher resolutions cost more. Default value: "540p"

Possible enum values: 540p, 720p, 1080p

duration DurationEnum

Duration of the generated video. 10s requires multi-keyframe input (keyframes / keyframe_indexes); it is not supported with a single image_url / end_image_url anchor. Default value: "5s"

Possible enum values: 5s, 10s

loop boolean

Generate a seamless loop. Only valid for standard-dynamic-range generations without an end frame or keyframes.

hdr boolean

Generate an HDR-encoded MP4. Requires HDR access on the account and a resolution of 720p or 1080p; not supported with loop.

exr_export boolean

Also export an EXR file alongside the MP4. Requires hdr=true and HDR access.

keyframes list<string>

keyframe_indexes list<integer>

Output-frame positions (duration x 24fps: 5s -> 0-120, 10s -> 0-240) where each keyframes[i] is anchored. Non-negative, unique, and the same length as keyframes.

enable_safety_checker boolean

Authorized callers may set false to request relaxed screening. Default value: true

{
  "prompt": "Low-angle shot of a majestic tiger prowling through a snowy landscape, leaving paw prints on the white blanket.",
  "image_url": "https://storage.googleapis.com/falserverless/gallery/example_inputs_liuyifei.png",
  "aspect_ratio": "16:9",
  "resolution": "540p",
  "duration": "5s",
  "enable_safety_checker": true
}

Output#

video File* required

The generated video.

exr_file File

The generated EXR sidecar when exr_export is true. This may be a single EXR file or a ZIP package depending on Luma's export shape.

{
  "video": {
    "url": "",
    "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

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.

Related Models

Luma Ray 3.2 Image to Video API Docs | fal

luma/agent/ray/v3.2/image-to-video

Table of contents

Table of contents

luma/agent/ray/v3.2/image-to-video

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#

File#

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#

File#

Related Models