This model is no longer supported.
This model is no longer supported.
Kling 2.1 Master Image to Video 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("fal-ai/kling-video/v2.1/master/image-to-video", {
input: {
prompt: "Sunlight dapples through budding branches, illuminating a vibrant tapestry of greens and browns as a pair of robins meticulously weave twigs and mud into a cradle of life, their tiny forms a whirlwind of activity against a backdrop of blossoming spring. The scene unfolds with a gentle, observational pace, allowing the viewer to fully appreciate the intricate details of nest construction, the soft textures of downy feathers contrasted against the rough bark of the branches, the delicate balance of strength and fragility in their creation.",
image_url: "https://v3.fal.media/files/zebra/9Nrm22YyLojSTPJbZYNhh_image.webp"
},
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/v2.1/master/image-to-video", {
input: {
prompt: "Sunlight dapples through budding branches, illuminating a vibrant tapestry of greens and browns as a pair of robins meticulously weave twigs and mud into a cradle of life, their tiny forms a whirlwind of activity against a backdrop of blossoming spring. The scene unfolds with a gentle, observational pace, allowing the viewer to fully appreciate the intricate details of nest construction, the soft textures of downy feathers contrasted against the rough bark of the branches, the delicate balance of strength and fragility in their creation.",
image_url: "https://v3.fal.media/files/zebra/9Nrm22YyLojSTPJbZYNhh_image.webp"
},
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/v2.1/master/image-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/v2.1/master/image-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* requiredimage_url string* requiredURL of the image to be used for the video
duration DurationEnumThe duration of the generated video in seconds Default value: "5"
Possible enum values: 5, 10
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": "Sunlight dapples through budding branches, illuminating a vibrant tapestry of greens and browns as a pair of robins meticulously weave twigs and mud into a cradle of life, their tiny forms a whirlwind of activity against a backdrop of blossoming spring. The scene unfolds with a gentle, observational pace, allowing the viewer to fully appreciate the intricate details of nest construction, the soft textures of downy feathers contrasted against the rough bark of the branches, the delicate balance of strength and fragility in their creation.",
"image_url": "https://v3.fal.media/files/zebra/9Nrm22YyLojSTPJbZYNhh_image.webp",
"duration": "5",
"negative_prompt": "blur, distort, and low quality",
"cfg_scale": 0.5
}The generated video
{
"video": {
"url": "https://v3.fal.media/files/rabbit/YuUWKFq508zzWIiQ0i2vt_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.