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The client provides a convenient way to interact with the model API.
npm install --save @fal-ai/clientSet 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("pixelcut/looping-video", {
input: {
image_url: "https://cdn3.pixelcut.app/fal/looping-video/model.jpg"
},
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"
});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("pixelcut/looping-video", {
input: {
image_url: "https://cdn3.pixelcut.app/fal/looping-video/model.jpg"
},
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("pixelcut/looping-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("pixelcut/looping-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);Read more about file handling in our file upload guide.
image_url string* requiredInput image the video starts and ends on (JPEG, PNG, or WebP)
prompt stringOptional creative direction for the motion. Camera stays locked regardless. Default value: ""
duration integerVideo duration in seconds Default value: 5
resolution ResolutionEnumOutput resolution Default value: "1080p"
Possible enum values: 480p, 768p, 1080p
motion MotionEnumMotion style: 'subtle' for gentle ambient movement, 'spin' for one full 360° revolution ending on the source frame Default value: "subtle"
Possible enum values: subtle, spin
include_audio booleanKeep the generated audio track (off by default; the loop is silent)
{
"image_url": "https://cdn3.pixelcut.app/fal/looping-video/model.jpg",
"duration": 5,
"resolution": "1080p",
"motion": "subtle"
}Looping MP4 that starts and ends on the input image
{
"video": {
"url": "https://cdn3.pixelcut.app/fal/looping-video/model.mp4",
"content_type": "video/mp4"
}
}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.