ray-3.2 text-to-video generation via the Luma Agents API.
The client provides a convenient way to interact with the model API.
npm install --save @fal-ai/clientThe @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.
Set FAL_KEY as an environment variable in your runtime.
export FAL_KEY="YOUR_API_KEY"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/text-to-video", {
input: {
prompt: "A herd of wild horses galloping across a dusty desert plain under a blazing midday sun, their manes flying in the wind; wide tracking shot."
},
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);The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.
import { fal } from "@fal-ai/client";
fal.config({
credentials: "YOUR_FAL_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.
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/text-to-video", {
input: {
prompt: "A herd of wild horses galloping across a dusty desert plain under a blazing midday sun, their manes flying in the wind; wide tracking shot."
},
webhookUrl: "https://optional.webhook.url/for/results",
});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/text-to-video", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
logs: true,
});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/text-to-video", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);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.
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.
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.
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);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.
prompt string* requiredText prompt describing the video to generate.
aspect_ratio AspectRatioEnumAspect 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 ResolutionEnumResolution of the generated video. Higher resolutions cost more. Default value: "540p"
Possible enum values: 540p, 720p, 1080p
duration DurationEnumDuration of the generated video. Default value: "5s"
Possible enum values: 5s, 10s
loop booleanGenerate a seamless loop. Only valid for 5s, standard-dynamic-range generations without an end frame.
hdr booleanGenerate an HDR-encoded MP4. Requires HDR access on the account and a resolution of 720p or 1080p; not supported with 10s or loop.
exr_export booleanAlso export an EXR file alongside the MP4. Requires hdr=true and HDR access.
enable_safety_checker booleanAuthorized callers may set false to request relaxed screening. Default value: true
{
"prompt": "A herd of wild horses galloping across a dusty desert plain under a blazing midday sun, their manes flying in the wind; wide tracking shot.",
"aspect_ratio": "16:9",
"resolution": "540p",
"duration": "5s",
"enable_safety_checker": true
}The generated video.
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
}
}url string* requiredThe URL where the file can be downloaded from.
content_type stringThe mime type of the file.
file_name stringThe name of the file. It will be auto-generated if not provided.
file_size integerThe size of the file in bytes.