Kling V3 (4k) Text to Video API.
The Kling V3 model with 4k resolution output. Only the Singapore server supports this mode.
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/kling-video/v3/4k/text-to-video", {
input: {},
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/kling-video/v3/4k/text-to-video", {
input: {},
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/kling-video/v3/4k/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("fal-ai/kling-video/v3/4k/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 stringText prompt for video generation. Either prompt or multi_prompt must be provided, but not both.
duration DurationEnumThe duration of the generated video in seconds Default value: "5"
Possible enum values: 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
List of prompts for multi-shot video generation. If provided, overrides the single prompt and divides the video into multiple shots with specified prompts and durations.
generate_audio booleanWhether to generate native audio for the video. Supports Chinese and English voice output. Other languages are automatically translated to English. For English speech, use lowercase letters; for acronyms or proper nouns, use uppercase. Default value: true
shot_type ShotTypeEnumThe type of multi-shot video generation. 'intelligent' lets the model automatically determine shot structure. Default value: "customize"
Possible enum values: customize, intelligent
aspect_ratio AspectRatioEnumThe aspect ratio of the generated video frame Default value: "16:9"
Possible enum values: 16:9, 9:16, 1:1
negative_prompt stringDefault value: "blur, distort, and low quality"
cfg_scale floatThe CFG (Classifier Free Guidance) scale is a measure of how close you want
the model to stick to your prompt. Default value: 0.5
{
"prompt": "Close-up of glowing fireflies dancing in a dark forest at twilight. Soft bioluminescent particles float through the air. Shallow depth of field, bokeh lights in background. Magical atmosphere, gentle movement.",
"duration": "5",
"multi_prompt": null,
"generate_audio": true,
"shot_type": "customize",
"aspect_ratio": "16:9",
"negative_prompt": "blur, distort, and low quality",
"cfg_scale": 0.5
}The generated video
{
"video": {
"content_type": "video/mp4",
"url": "https://storage.googleapis.com/falserverless/example_outputs/kling-v3/pro-t2v/out.mp4",
"file_size": 8062911,
"file_name": "output.mp4"
}
}prompt string* requiredThe prompt for this shot.
duration DurationEnumThe duration of this shot in seconds Default value: "5"
Possible enum values: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
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.