Wan 2.2 Fun Control | AI Motion Control Video API

Wan2.2-Fun-Control

Wan2.2-Fun-Control is an advanced video generation and control model developed by the PAI team, designed for precise and creative video synthesis. By integrating Control Codes with deep learning and multi-modal conditioning, it enables users to direct motion, structure, and scene composition — achieving controllable, high-fidelity video generation under customizable guidance.

🌟 Key Features

🎛️ Multi-Modal Control Supports multiple input types for fine-grained video control:
Canny: Edge or line-art guidance
Depth: Depth map-based spatial control
OpenPose: Human pose and skeletal motion tracking
MLSD: Geometric line structure for scene layout
Trajectory Control: Object or camera movement path conditioning
🎬 High-Quality Video Generation Built on the Wan 2.2 architecture — delivering cinematic, high-resolution video outputs with stable motion and consistent identity.
🌍 Multi-Language Prompting Accepts both Chinese and English descriptions for flexible creative control.
🧠 Intelligent Composition Aligns user-provided references (images or frames) with pose, structure, and scene layout to ensure natural transitions and realism.

💰 Pricing

Resolution	Cost per 5 Seconds	Max Duration
480p	$0.20	120 seconds
720p	$0.40	120 seconds

Billing Rules

Standard Rate: $0.04 per second
HD (720p) Rate: $0.08 per second
Minimum Charge: All audio is billed for a minimum of 5 seconds.
Standard: $0.20
HD (720p): $0.40
Billing Cap: To keep your costs predictable, billing is capped at a maximum of 600 seconds (10 minutes).

⚙️ Usage Tips

🧍 Keep reference consistency: The reference image’s composition, pose, and camera angle should match the desired video framing. Major mismatches between input and control maps (e.g., OpenPose or Canny) can lead to generation instability or artifacts.
🖼️ Match aspect ratios: The aspect ratio of the input image and target video should remain identical for best results.
🔄 Control balance: Combining too many control types simultaneously may reduce creative flexibility — start with one or two controls and tune gradually.

Wan 2.2 Fun Control API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/fun-control with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Wan 2.2 Fun Control below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/fun-control" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "image": "https://example.com/your-input.jpg",
    "video": "https://example.com/your-input.mp4",
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "resolution": "480p",
    "seed": -1
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("wavespeed-ai/wan-2.2/fun-control", {
        "image": "https://example.com/your-input.jpg",
        "video": "https://example.com/your-input.mp4",
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "resolution": "480p",
        "seed": -1
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/wan-2.2/fun-control",
    {
    "image": "https://example.com/your-input.jpg",
    "video": "https://example.com/your-input.mp4",
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "resolution": "480p",
    "seed": -1
}
)

print(output["outputs"][0])  # → URL of the generated output

Wan 2.2 Fun Control API — Frequently asked questions

What is the Wan 2.2 Fun Control API?

Wan 2.2 Fun Control is a WaveSpeedAI model for pose / motion driven video, exposed as a REST API on WaveSpeedAI. Wan2.2-Fun-Control uses Control Codes and multi-modal inputs to generate preset-controlled videos up to 120s at 720p; released under Apache 2.0 for commercial use. Ready-to-use REST API, no coldstarts, affordable. You can call it programmatically or try it from the playground above.

How do I call the Wan 2.2 Fun Control API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/wan-2.2-fun-control.

How much does Wan 2.2 Fun Control cost per run?

Wan 2.2 Fun Control starts at $0.20 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Wan 2.2 Fun Control accept?

Key inputs: `prompt`, `image`, `video`, `resolution`, `seed`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/wan-2.2-fun-control.

How long does Wan 2.2 Fun Control take to generate?

Average end-to-end generation time on WaveSpeedAI is around 180 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Wan 2.2 Fun Control outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

ExamplesView all

Related Models

README