Name: Kling 2.6 Motion Control API
Brand: Kling AI

Overview

What is Kling 2.6 Motion Control API?

Kling 2.6 Motion Control transfers motion from a reference video onto a character image, with selectable std/pro generation modes.

Technical Specifications
- Supported inputs: Video
- Output: Video

Performance Benchmarks
[embed]

Kling 2.6 Motion Control API Pricing
- Pricing on request

Where to Use Kling 2.6 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

Character animation is a documented use case for Kling 2.6 Motion Control, including bringing characters to life with dance moves, action sequences, or custom choreography from reference videos. It is also described as suitable for character performances that preserve identity stability.

Brand mascot videos are another stated use case, with the model used to create mascot animations and to transfer human gestures to animated brand characters for demos, explainers, and marketing assets.

Storyboard visualization is listed as a use case, alongside social media content and other projects that need predictable motion results. The model is also described as useful for product demonstrations and viral marketing content with consistent quality.

How to use Kling 2.6 Motion Control API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to klingai/video-v2-6-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-v2-6-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-v2-6-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-v2-6-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.