Generate a video from a start frame image with optional references and elements.
The image defines the first frame of the video. You can optionally add reference images for style/appearance and elements for characters/objects.
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/o1/reference-to-video", {
input: {
prompt: "Take @Image1 as the start frame. Start with a high-angle satellite view of the ancient greenhouse ruin surrounded by nature. The camera swoops down and flies inside the building, revealing the character from @Element1 standing in the sun-drenched center. The camera then seamlessly transitions into a smooth 180-degree orbit around the character, moving to the back view. As the open backpack comes into focus, the camera continues to push forward, zooming deep inside the bag to reveal the glowing stone from @Element2 nestled inside. Cinematic lighting, hopeful atmosphere, 35mm lens. Make sure to keep it as the style of @Image2."
},
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/o1/reference-to-video", {
input: {
prompt: "Take @Image1 as the start frame. Start with a high-angle satellite view of the ancient greenhouse ruin surrounded by nature. The camera swoops down and flies inside the building, revealing the character from @Element1 standing in the sun-drenched center. The camera then seamlessly transitions into a smooth 180-degree orbit around the character, moving to the back view. As the open backpack comes into focus, the camera continues to push forward, zooming deep inside the bag to reveal the glowing stone from @Element2 nestled inside. Cinematic lighting, hopeful atmosphere, 35mm lens. Make sure to keep it as the style of @Image2."
},
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/o1/reference-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/o1/reference-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* requiredTake @Element1, @Element2 to reference elements and @Image1, @Image2 to reference images in order.
Additional reference images for style/appearance. Reference in prompt as @Image1, @Image2, etc. Maximum 7 total (elements + reference images + start image).
Elements (characters/objects) to include in the video. Reference in prompt as @Element1, @Element2, etc. Maximum 7 total (elements + reference images + start image).
duration DurationEnumVideo duration in seconds. Default value: "5"
Possible enum values: 3, 4, 5, 6, 7, 8, 9, 10
aspect_ratio AspectRatioEnumThe aspect ratio of the generated video frame. Default value: "16:9"
Possible enum values: 16:9, 9:16, 1:1
{
"prompt": "Take @Image1 as the start frame. Start with a high-angle satellite view of the ancient greenhouse ruin surrounded by nature. The camera swoops down and flies inside the building, revealing the character from @Element1 standing in the sun-drenched center. The camera then seamlessly transitions into a smooth 180-degree orbit around the character, moving to the back view. As the open backpack comes into focus, the camera continues to push forward, zooming deep inside the bag to reveal the glowing stone from @Element2 nestled inside. Cinematic lighting, hopeful atmosphere, 35mm lens. Make sure to keep it as the style of @Image2.",
"image_urls": [
"https://v3b.fal.media/files/b/koala/v9COzzH23FGBYdGLgbK3u.png",
"https://v3b.fal.media/files/b/elephant/5Is2huKQFSE7A7c5uUeUF.png"
],
"elements": [
{
"frontal_image_url": "https://v3b.fal.media/files/b/panda/MQp-ghIqshvMZROKh9lW3.png",
"reference_image_urls": [
"https://v3b.fal.media/files/b/kangaroo/YMpmQkYt9xugpOTQyZW0O.png",
"https://v3b.fal.media/files/b/zebra/d6ywajNyJ6bnpa_xBue-K.png"
]
},
{
"frontal_image_url": "https://v3b.fal.media/files/b/koala/gSnsA7HJlgcaTyR5Ujj2H.png",
"reference_image_urls": [
"https://v3b.fal.media/files/b/kangaroo/EBF4nWihspyv4pp6hgj7D.png"
]
}
],
"duration": "5",
"aspect_ratio": "16:9"
}The generated video.
{
"video": {
"file_size": 47359974,
"url": "https://v3b.fal.media/files/b/panda/oVdiICFXY03Vbam-08Aj8_output.mp4",
"content_type": "video/mp4",
"file_name": "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.
frontal_image_url string* requiredThe frontal image of the element (main view).
Max file size: 50.0MB, Min width: 300px, Min height: 300px, Min aspect ratio: 0.40, Max aspect ratio: 2.50, Timeout: 20.0s
Additional reference images from different angles. 1-3 images supported. At least one image is required.