Wan Ati Image to Video
fal-ai/wan-ati
WAN-ATI is a controllable video generation model that uses trajectory instructions to guide object, local, and camera motion, enabling precise and flexible image-to-video creation.
Inference
Commercial use
About
Generate a video based on the provided input parameters.
1. Calling the API#
Install the client#
The client provides a convenient way to interact with the model API.
npm install --save @fal-ai/clientMigrate to @fal-ai/client
The @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Please check the migration guide for more information.
Setup your API Key#
Set FAL_KEY as an environment variable in your runtime.
export FAL_KEY="YOUR_API_KEY"Submit a request#
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/wan-ati", {
input: {
image_url: "https://v3b.fal.media/files/b/kangaroo/5kPPJAhdcXH6eO1Kniftc_human.jpg",
prompt: "An human facing the camera in an cyberbank style dress.",
track: [[{
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x: 110
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y: 708,
x: 110
}, {
y: 708,
x: 110
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},
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);2. Authentication#
The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.
API Key#
In case your app is running in an environment where you cannot set environment variables, you can set the API Key manually as a client configuration.
import { fal } from "@fal-ai/client";
fal.config({
credentials: "YOUR_FAL_KEY"
});Protect your API 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.
3. Queue#
Submit a request#
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/wan-ati", {
input: {
image_url: "https://v3b.fal.media/files/b/kangaroo/5kPPJAhdcXH6eO1Kniftc_human.jpg",
prompt: "An human facing the camera in an cyberbank style dress.",
track: [[{
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},
webhookUrl: "https://optional.webhook.url/for/results",
});Fetch request status#
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/wan-ati", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
logs: true,
});Get the result#
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/wan-ati", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);4. Files#
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.
Data URI (base64)#
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.
Hosted files (URL)#
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.
Uploading files#
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);Auto uploads
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.
5. Schema#
Input#
image_url string* requiredURL of the input image.
prompt string* requiredThe text prompt to guide video generation.
Motion tracks to guide video generation. Each track is a sequence of points defining a motion trajectory. Multiple tracks can control different elements or objects in the video. Expected format: array of tracks, where each track is an array of points with 'x' and 'y' coordinates (up to 121 points per track). Points will be automatically padded to 121 if fewer are provided. Coordinates should be within the image dimensions.
num_inference_steps integerNumber of inference steps for sampling. Higher values give better quality but take longer. Default value: 40
guidance_scale floatClassifier-free guidance scale. Higher values give better adherence to the prompt but may decrease quality. Default value: 5
resolution ResolutionEnumResolution of the generated video (480p, 580p, 720p). Default value: "480p"
Possible enum values: 480p, 580p, 720p
seed integerRandom seed for reproducibility. If None, a random seed is chosen.
{
"image_url": "https://v3b.fal.media/files/b/kangaroo/5kPPJAhdcXH6eO1Kniftc_human.jpg",
"prompt": "An human facing the camera in an cyberbank style dress.",
"track": [
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"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
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{
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"x": 527
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{
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"x": 527
},
{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
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{
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"x": 527
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{
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"x": 527
},
{
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{
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"x": 527
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{
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"x": 527
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{
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{
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{
"y": 755,
"x": 527
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{
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"x": 527
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{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
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{
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"x": 527
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{
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"x": 527
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{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
},
{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
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{
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"x": 527
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{
"y": 755,
"x": 527
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{
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"x": 527
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{
"y": 755,
"x": 527
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{
"y": 755,
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{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
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{
"y": 755,
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{
"y": 755,
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{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
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{
"y": 755,
"x": 527
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],
[
{
"y": 416,
"x": 289
},
{
"y": 416,
"x": 288
},
{
"y": 416,
"x": 286
},
{
"y": 416,
"x": 275
},
{
"y": 416,
"x": 262
},
{
"y": 416,
"x": 248
},
{
"y": 416,
"x": 232
},
{
"y": 416,
"x": 218
},
{
"y": 415,
"x": 205
},
{
"y": 415,
"x": 194
},
{
"y": 414,
"x": 183
},
{
"y": 413,
"x": 175
},
{
"y": 413,
"x": 167
},
{
"y": 413,
"x": 161
},
{
"y": 412,
"x": 154
},
{
"y": 412,
"x": 148
},
{
"y": 412,
"x": 143
},
{
"y": 411,
"x": 139
},
{
"y": 411,
"x": 135
},
{
"y": 411,
"x": 133
},
{
"y": 411,
"x": 131
},
{
"y": 411,
"x": 130
},
{
"y": 411,
"x": 130
},
{
"y": 411,
"x": 129
},
{
"y": 411,
"x": 129
},
{
"y": 411,
"x": 129
},
{
"y": 411,
"x": 129
},
{
"y": 411,
"x": 129
},
{
"y": 411,
"x": 129
},
{
"y": 411,
"x": 130
},
{
"y": 411,
"x": 131
},
{
"y": 411,
"x": 132
},
{
"y": 411,
"x": 135
},
{
"y": 411,
"x": 141
},
{
"y": 411,
"x": 149
},
{
"y": 412,
"x": 157
},
{
"y": 414,
"x": 169
},
{
"y": 416,
"x": 183
},
{
"y": 419,
"x": 198
},
{
"y": 422,
"x": 215
},
{
"y": 424,
"x": 235
},
{
"y": 426,
"x": 254
},
{
"y": 426,
"x": 271
},
{
"y": 427,
"x": 287
},
{
"y": 427,
"x": 302
},
{
"y": 427,
"x": 312
},
{
"y": 427,
"x": 324
},
{
"y": 427,
"x": 338
},
{
"y": 427,
"x": 350
},
{
"y": 425,
"x": 361
},
{
"y": 424,
"x": 370
},
{
"y": 423,
"x": 377
},
{
"y": 423,
"x": 381
},
{
"y": 422,
"x": 383
},
{
"y": 422,
"x": 386
},
{
"y": 421,
"x": 388
},
{
"y": 420,
"x": 393
},
{
"y": 419,
"x": 398
},
{
"y": 419,
"x": 404
},
{
"y": 418,
"x": 410
},
{
"y": 418,
"x": 413
},
{
"y": 418,
"x": 415
},
{
"y": 418,
"x": 416
},
{
"y": 418,
"x": 416
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
},
{
"y": 418,
"x": 417
}
]
],
"num_inference_steps": 40,
"guidance_scale": 5,
"resolution": "480p"
}Output#
The generated video file.
{
"video": {
"file_size": 4102545,
"file_name": "2a91e308a059421aa9d54109bd027498.mp4",
"content_type": "application/octet-stream",
"url": "https://v3b.fal.media/files/b/tiger/EIaugZmuEX05_6ZMnWaj-_2a91e308a059421aa9d54109bd027498.mp4"
}
}Other types#
TrackPoint#
x integer* requiredX coordinate of the point
y integer* requiredY coordinate of the point
File#
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.
file_data stringFile data