Generate a video from a prompt.
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("fal-ai/ltx-video-v095/multiconditioning", {
input: {
prompt: "
A vibrant, abstract composition featuring a person with outstretched arms, rendered in a kaleidoscope of colors against a deep, dark background. The figure is composed of intricate, swirling patterns reminiscent of a mosaic, with hues of orange, yellow, blue, and green that evoke the style of artists such as Wassily Kandinsky or Bridget Riley.
The camera zooms into the face striking portrait of a man, reimagined through the lens of old-school video-game graphics. The subject's face is rendered in a kaleidoscope of colors, with bold blues and reds set against a vibrant yellow backdrop. His dark hair is pulled back, framing his profile in a dramatic pose
"
},
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("fal-ai/ltx-video-v095/multiconditioning", {
input: {
prompt: "
A vibrant, abstract composition featuring a person with outstretched arms, rendered in a kaleidoscope of colors against a deep, dark background. The figure is composed of intricate, swirling patterns reminiscent of a mosaic, with hues of orange, yellow, blue, and green that evoke the style of artists such as Wassily Kandinsky or Bridget Riley.
The camera zooms into the face striking portrait of a man, reimagined through the lens of old-school video-game graphics. The subject's face is rendered in a kaleidoscope of colors, with bold blues and reds set against a vibrant yellow backdrop. His dark hair is pulled back, framing his profile in a dramatic pose
"
},
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("fal-ai/ltx-video-v095/multiconditioning", {
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("fal-ai/ltx-video-v095/multiconditioning", {
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 to guide generation
negative_prompt stringNegative prompt for generation Default value: "worst quality, inconsistent motion, blurry, jittery, distorted"
resolution ResolutionEnumResolution of the generated video (480p or 720p). Default value: "720p"
Possible enum values: 480p, 720p
aspect_ratio AspectRatioEnumAspect ratio of the generated video (16:9 or 9:16). Default value: "16:9"
Possible enum values: 9:16, 16:9
seed integerRandom seed for generation
num_inference_steps integerNumber of inference steps Default value: 40
expand_prompt booleanWhether to expand the prompt using the model's own capabilities. Default value: true
enable_safety_checker booleanAuthorized callers may set false to request relaxed screening. Default value: true
URL of images to use as conditioning
Videos to use as conditioning
{
"prompt": "\n A vibrant, abstract composition featuring a person with outstretched arms, rendered in a kaleidoscope of colors against a deep, dark background. The figure is composed of intricate, swirling patterns reminiscent of a mosaic, with hues of orange, yellow, blue, and green that evoke the style of artists such as Wassily Kandinsky or Bridget Riley. \n\nThe camera zooms into the face striking portrait of a man, reimagined through the lens of old-school video-game graphics. The subject's face is rendered in a kaleidoscope of colors, with bold blues and reds set against a vibrant yellow backdrop. His dark hair is pulled back, framing his profile in a dramatic pose\n ",
"negative_prompt": "worst quality, inconsistent motion, blurry, jittery, distorted",
"resolution": "720p",
"aspect_ratio": "16:9",
"num_inference_steps": 40,
"expand_prompt": true,
"enable_safety_checker": true,
"images": [
{
"start_frame_num": 0,
"image_url": "https://storage.googleapis.com/falserverless/model_tests/ltx/NswO1P8sCLzrh1WefqQFK_9a6bdbfa54b944c9a770338159a113fd.jpg"
},
{
"start_frame_num": 120,
"image_url": "https://storage.googleapis.com/falserverless/model_tests/ltx/YAPOGvmS2tM_Krdp7q6-d_267c97e017c34f679844a4477dfcec38.jpg"
}
],
"videos": []
}The generated video file.
seed integer* requiredThe seed used for generation.
{
"video": {
"url": "https://storage.googleapis.com/falserverless/gallery/ltx-multicondition.mp4"
}
}image_url string* requiredURL of image to use as conditioning
start_frame_num integer* requiredFrame number of the image from which the conditioning starts. Must be a multiple of 8.
video_url string* requiredURL of video to be extended
start_frame_num integer* requiredFrame number of the video from which the conditioning starts. Must be a multiple of 8.
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.