This model is no longer supported.
This model is no longer supported.
Kling 2.0 Master Text to Video API.
The Kling 2.0 Master model is an upgraded version of the text-to-video generation model that significantly improves upon Kling 1.6 in several key areas:
Text Understanding:
Motion Quality:
Visual Quality:
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/v2/master/text-to-video", {
input: {
prompt: "A slow-motion drone shot descending from above a maze of neon-lit Tokyo alleyways at night during heavy rainfall. The camera gradually focuses on a lone figure in a luminescent white raincoat standing perfectly still amid the bustling crowd, all carrying black umbrellas. As the camera continues its downward journey, we see the raindrops creating rippling patterns on puddles that reflect the kaleidoscope of colors from the surrounding signs, creating a mirror world beneath the city."
},
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/v2/master/text-to-video", {
input: {
prompt: "A slow-motion drone shot descending from above a maze of neon-lit Tokyo alleyways at night during heavy rainfall. The camera gradually focuses on a lone figure in a luminescent white raincoat standing perfectly still amid the bustling crowd, all carrying black umbrellas. As the camera continues its downward journey, we see the raindrops creating rippling patterns on puddles that reflect the kaleidoscope of colors from the surrounding signs, creating a mirror world beneath the city."
},
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/v2/master/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/v2/master/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* requiredduration DurationEnumThe duration of the generated video in seconds Default value: "5"
Possible enum values: 5, 10
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": "A slow-motion drone shot descending from above a maze of neon-lit Tokyo alleyways at night during heavy rainfall. The camera gradually focuses on a lone figure in a luminescent white raincoat standing perfectly still amid the bustling crowd, all carrying black umbrellas. As the camera continues its downward journey, we see the raindrops creating rippling patterns on puddles that reflect the kaleidoscope of colors from the surrounding signs, creating a mirror world beneath the city.",
"duration": "5",
"aspect_ratio": "16:9",
"negative_prompt": "blur, distort, and low quality",
"cfg_scale": 0.5
}The generated video
{
"video": {
"url": "https://v3.fal.media/files/rabbit/5fu6OSZdvV825r2s_c0S8_output.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.