Steady Dancer | Video to Video

fal-ai/steady-dancer

Create smooth, realistic videos from a single photo while keeping the original appearance intact—precise motion control without losing identity or visual quality.

Inference

Commercial use

Schema

LLMs

Playground API

About

Generate a dance animation video from a reference image and driving pose 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

Migrate 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/steady-dancer", {
  input: {},
  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#

Long-running requests

For long-running requests, such as training jobs or models with slower inference times, it is recommended to check the Queue status and rely on Webhooks instead of blocking while waiting for the result.

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/steady-dancer", {
  input: {},
  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/steady-dancer", {
  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/steady-dancer", {
  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

URL of the reference image to animate. This is the person/character whose appearance will be preserved. Default value: "https://v3b.fal.media/files/b/0a85edaa/GDUCMPrdvOMcI5JpEcU7f.png"

video_url string

URL of the driving pose video. The motion from this video will be transferred to the reference image. Default value: "https://v3b.fal.media/files/b/0a84de68/jXDWywjhagRfR-GuZjoRs_video.mp4"

prompt string

Text prompt describing the desired animation. Default value: "A person dancing with smooth and natural movements."

negative_prompt string

Negative prompt for video generation. Default value: "blurred, distorted face, bad anatomy, extra limbs, poorly drawn hands, poorly drawn feet, disfigured, out of frame, duplicate, watermark, signature, text"

frames_per_second integer

Frames per second of the generated video. Must be between 5 to 24. Default value: 16

seed integer

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

resolution ResolutionEnum

Resolution of the generated video. 576p is default, 720p for higher quality. 480p is lower quality. Default value: "576p"

Possible enum values: 480p, 576p, 720p

num_inference_steps integer

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

guidance_scale float

Classifier-free guidance scale for prompt adherence. Default value: 5

pose_guidance_scale float

Pose guidance scale for pose control strength. Default value: 1

shift float

Shift parameter for video generation. Default value: 5

pose_guidance_start float

Start ratio for pose guidance. Controls when pose guidance begins. Default value: 0.1

pose_guidance_end float

End ratio for pose guidance. Controls when pose guidance ends. Default value: 0.4

acceleration AccelerationEnum

Acceleration levels. Default value: "aggressive"

Possible enum values: light, moderate, aggressive

enable_safety_checker boolean

If set to true, the safety checker will be enabled.

aspect_ratio AspectRatioEnum

Aspect ratio of the generated video. If 'auto', will be determined from the reference image. Default value: "auto"

Possible enum values: auto, 16:9, 9:16, 1:1

num_frames integer

Number of frames to generate. Will be adjusted to nearest valid value (must satisfy 4k+1 pattern). Default value: 81

preserve_audio boolean

If enabled, copies audio from the input driving video to the output video. Default value: true

{
  "image_url": "https://v3b.fal.media/files/b/0a85edaa/GDUCMPrdvOMcI5JpEcU7f.png",
  "video_url": "https://v3b.fal.media/files/b/0a84de68/jXDWywjhagRfR-GuZjoRs_video.mp4",
  "prompt": "A person dancing with smooth and natural movements.",
  "negative_prompt": "blurred, distorted face, bad anatomy, extra limbs, poorly drawn hands, poorly drawn feet, disfigured, out of frame, duplicate, watermark, signature, text",
  "frames_per_second": 16,
  "resolution": "576p",
  "num_inference_steps": 30,
  "guidance_scale": 5,
  "pose_guidance_scale": 1,
  "shift": 5,
  "pose_guidance_start": 0.1,
  "pose_guidance_end": 0.4,
  "acceleration": "aggressive",
  "enable_safety_checker": true,
  "aspect_ratio": "auto",
  "num_frames": 81,
  "preserve_audio": true
}

Output#

video File* required

The generated dance animation video.

seed integer* required

The seed used for generation.

num_frames integer* required

The actual number of frames generated (aligned to 4k+1 pattern).

{
  "video": {
    "file_size": 7772111,
    "file_name": "wGTyD08J5aZYkH5lHUj72_output_with_audio.mp4",
    "content_type": "application/octet-stream",
    "url": "https://v3b.fal.media/files/b/0a85ef77/wGTyD08J5aZYkH5lHUj72_output_with_audio.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.

file_data string

File data

Steady Dancer Video to Video

Table of contents

1. Calling the API

2. Authentication

3. Queue

4. Files

5. Schema

About

1. Calling the API#

Install the client#

Migrate to @fal-ai/client

Setup your API Key#

Submit a request#

2. Authentication#

API Key#

Protect your API Key

3. Queue#

Long-running requests

Submit a request#

Fetch request status#

Get the result#

4. Files#

Data URI (base64)#

Hosted files (URL)#

Uploading files#

Auto uploads

5. Schema#

Input#

Output#

Other types#

File#