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Uni Animate Image to Video

fal-ai/uni-animate
It takes human image animation to a whole new level! It's basically built on this cracked DiT model called Wan2.1-14B-I2V that makes your still pics move in ways that actually look legit.
Inference
Commercial use
PlaygroundAPI

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/uni-animate", {
  input: {
    prompt: "A person is dancing.",
    image_url: "https://storage.googleapis.com/falserverless/example_outputs/test/p1/animated-cartoon-character-with-red-shirt-letter-d_1029473-302297.jpg",
    video_url: "https://storage.googleapis.com/falserverless/example_outputs/test/p1/source_video_unianimate.mp4"
  },
  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/uni-animate", {
  input: {
    prompt: "A person is dancing.",
    image_url: "https://storage.googleapis.com/falserverless/example_outputs/test/p1/animated-cartoon-character-with-red-shirt-letter-d_1029473-302297.jpg",
    video_url: "https://storage.googleapis.com/falserverless/example_outputs/test/p1/source_video_unianimate.mp4"
  },
  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/uni-animate", {
  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/uni-animate", {
  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#

prompt string* required

The text prompt to guide video generation.

negative_prompt string

Negative prompt for video generation. Default value: "bright colors, overexposed, static, blurred details, subtitles, style, artwork, painting, picture, still, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, malformed limbs, fused fingers, still picture, cluttered background, three legs, many people in the background, walking backwards"

image_url string* required

URL to the source video file. If provided, the model will use this video as a reference.

video_url string* required

URL to the source video file. If provided, the model will use this video as a reference.

resolution ResolutionEnum

Resolution of the output video. Default value: "480p"

Possible enum values: 480p, 720p

seed integer

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

num_inference_steps integer

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

cfg_scale float

CFG scale for the model. Default value: 1.5

{
  "prompt": "A person is dancing.",
  "negative_prompt": "bright colors, overexposed, static, blurred details, subtitles, style, artwork, painting, picture, still, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, malformed limbs, fused fingers, still picture, cluttered background, three legs, many people in the background, walking backwards",
  "image_url": "https://storage.googleapis.com/falserverless/example_outputs/test/p1/animated-cartoon-character-with-red-shirt-letter-d_1029473-302297.jpg",
  "video_url": "https://storage.googleapis.com/falserverless/example_outputs/test/p1/source_video_unianimate.mp4",
  "resolution": "480p",
  "num_inference_steps": 30,
  "cfg_scale": 1.5
}

Output#

Other types#