Name: Kling 3.0 Motion Control API
Brand: Kling AI

Overview

What is Kling 3.0 Motion Control API?

Kling 3.0 Motion Control transfers motion from a reference video onto a character image at Kling 3.0 fidelity, with selectable std/pro generation modes.

Technical Specifications
- Supported inputs: Video
- Output: Video

Performance Benchmarks
[embed]

Kling 3.0 Motion Control API Pricing
- Pricing on request

Where to Use Kling 3.0 Motion Control

Short-form video generation
Create clips for social, ads, and product demos from text or image prompts.

Previsualization and storyboards
Rapidly prototype motion concepts before committing to production.

Use cases

Dance and performance content: the model is documented for transferring choreography from a reference video to a character image, including dance clips and other performance motions.

Character animation: it is described as suited for animating illustrated, photographed, or virtual characters with realistic motion from reference footage.

Brand and promotional videos: the model is documented for creating brand mascot animations, product demonstrations, presenters, and other branded motion content.

Storyboard and film previsualization: it is described as useful for storyboard visualization, action-sequence previsualization, and testing character performance before production.

How to use Kling 3.0 Motion Control API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to klingai/video-v3-motion-control.

import requests, time

headers = {"Authorization": "Bearer " + AIMLAPI_KEY}
job = requests.post(
    "https://api.aimlapi.com/v2/video/generations",
    headers=headers,
    json={
      "model": "klingai/video-v3-motion-control",
      "prompt": "A serene timelapse of clouds over a mountain range"
    },
).json()
gid = job["id"]

while True:
    res = requests.get(f"https://api.aimlapi.com/v2/video/generations?generation_id={gid}", headers=headers).json()
    if res.get("status") in ("completed", "error"):
        break
    time.sleep(5)
print(res["video"]["url"])

const headers = {
  Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
  "Content-Type": "application/json",
};
const job = await (await fetch("https://api.aimlapi.com/v2/video/generations", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "model": "klingai/video-v3-motion-control",
    "prompt": "A serene timelapse of clouds over a mountain range"
  }),
})).json();

let res;
do {
  await new Promise((r) => setTimeout(r, 5000));
  res = await (await fetch(`https://api.aimlapi.com/v2/video/generations?generation_id=${job.id}`, { headers })).json();
} while (!["completed", "error"].includes(res.status));
console.log(res.video.url);

# submit the generation — the response contains the job "id"
curl -X POST https://api.aimlapi.com/v2/video/generations \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"klingai/video-v3-motion-control","prompt":"A serene timelapse of clouds over a mountain range"}'

# then poll until status is "completed" — video.url holds the result
curl "https://api.aimlapi.com/v2/video/generations?generation_id={id}" -H "Authorization: Bearer $AIMLAPI_KEY"

OpenAI-compatible — swap the base URL and it works with your existing SDK.