Wan Effects Image to Video

fal-ai/wan-effects
Wan Effects generates high-quality videos with popular effects from images
Inference
Commercial use

About

Generate Video

1. Calling the API#

Install the client#

The client provides a convenient way to interact with the model API.

npm install --save @fal-ai/client

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-effects", {
  input: {
    subject: "a cute kitten",
    image_url: "https://storage.googleapis.com/falserverless/web-examples/wan-effects/cat.jpg"
  },
  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"
});

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-effects", {
  input: {
    subject: "a cute kitten",
    image_url: "https://storage.googleapis.com/falserverless/web-examples/wan-effects/cat.jpg"
  },
  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-effects", {
  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-effects", {
  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);

Read more about file handling in our file upload guide.

5. Schema#

Input#

subject string* required

The subject to insert into the predefined prompt template for the selected effect.

image_url string* required

URL of the input image.

effect_type EffectTypeEnum

The type of effect to apply to the video. Default value: "cakeify"

Possible enum values: squish, muscle, inflate, crush, rotate, gun-shooting, deflate, cakeify, hulk, baby, bride, classy, puppy, snow-white, disney-princess, mona-lisa, painting, pirate-captain, princess, jungle, samurai, vip, warrior, zen, assassin, timelapse, tsunami, fire, zoom-call, doom-fps, fus-ro-dah, hug-jesus, robot-face-reveal, super-saiyan, jumpscare, laughing, cartoon-jaw-drop, crying, kissing, angry-face, selfie-younger-self, animeify, blast

num_frames integer

Number of frames to generate. Default value: 81

frames_per_second integer

Frames per second of the generated video. Default value: 16

seed integer

Random seed for reproducibility. If None, a random seed is chosen.

aspect_ratio AspectRatioEnum

Aspect ratio of the output video. Default value: "16:9"

Possible enum values: 16:9, 9:16

num_inference_steps integer

Number of inference steps for sampling. Higher values give better quality but take longer. Default value: 30

lora_scale float

The scale of the LoRA weight. Used to adjust effect intensity. Default value: 1

turbo_mode boolean

Whether to use turbo mode. If True, the video will be generated faster but with lower quality.

{
  "subject": "a cute kitten",
  "image_url": "https://storage.googleapis.com/falserverless/web-examples/wan-effects/cat.jpg",
  "effect_type": "cakeify",
  "num_frames": 81,
  "frames_per_second": 16,
  "aspect_ratio": "16:9",
  "num_inference_steps": 30,
  "lora_scale": 1
}

Output#

video File* required

The generated video

seed integer* required
{
  "video": {
    "url": "https://storage.googleapis.com/falserverless/web-examples/wan-effects/cat_video.mp4"
  }
}

Other types#

File#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

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