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Kling V3.0 Std Motion Control

kwaivgi /

Kling 3.0 Standard Motion Control transfers motion from reference videos to animate still images. Upload a character image and a motion clip (dance, action, gesture), and the model extracts the movement to generate smooth, realistic video. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

motion-control
Input

Idle

$0.63per run·~15 / $10

ExamplesView all

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README

Kling V3.0 Std Motion Control

Kling V3.0 Std Motion Control transfers motion from a driving video to a character image, creating videos where your character performs the actions in the reference video. Upload a character image and a motion video — the model generates a new video with the character mimicking the movements.

Why Choose This?

  • Motion transfer Apply movements from any driving video to your character image.

  • Character preservation Maintains the visual identity of your character throughout the animation.

  • Flexible orientation Choose whether the character follows the image or video orientation.

  • Audio preservation Option to keep the original video sound in the output.

  • Prompt guidance Optional prompts to refine the motion transfer style.

  • Prompt Enhancer Built-in tool to automatically improve your descriptions.

Parameters

ParameterRequiredDescription
imageYesCharacter reference image (URL or upload)
videoYesDriving video with motion to transfer (URL or upload)
character_orientationYesOrientation mode: "image" or "video"
promptNoOptional text to guide the motion transfer
negative_promptNoElements to avoid in the output
keep_original_soundNoRetain original video audio (default: enabled)

How to Use

  1. Upload character image — provide the character you want to animate.
  2. Upload driving video — provide the video with the motion to transfer.
  3. Select character_orientation — choose "image" or "video":
  • image: Character follows the image's orientation (max video: 10s)
  • video: Character follows the video's orientation (max video: 30s)
  1. Add prompt (optional) — describe any style or motion preferences.
  2. Add negative prompt (optional) — specify elements to avoid.
  3. Keep original sound (optional) — toggle to retain or remove audio.
  4. Run — submit and download your motion-controlled video.

Pricing

DurationCost
≤3 s$0.378
5 s$0.63
10 s$1.26
20 s$2.52
30 s (max)$3.78

Billing Rules

  • Minimum charge: 3 seconds
  • Maximum duration: 30 seconds (or 10 seconds if character_orientation = "image")
  • Rate: $0.63 per 5 seconds

Best Use Cases

  • Character Animation — Bring still characters to life with real-world movements.
  • Virtual Presenters — Create talking or moving avatars from reference images.
  • Dance Videos — Transfer dance moves to custom characters.
  • Content Creation — Generate engaging videos with consistent character identity.
  • Gaming & Entertainment — Animate game characters or mascots.

Pro Tips

  • Use clear, front-facing character images for best identity preservation.
  • Ensure the driving video has clear, visible movements for accurate transfer.
  • Choose "image" orientation when character pose should match the reference image.
  • Choose "video" orientation for longer videos (up to 30s) or when following video perspective.
  • Enable keep_original_sound to sync audio with the transferred motion.
  • Use negative_prompt to avoid unwanted artifacts or style elements.

Notes

  • image, video, and character_orientation are all required fields.
  • character_orientation = "image": Maximum video duration is 10 seconds.
  • character_orientation = "video": Maximum video duration is 30 seconds.
  • Minimum billing duration: 3 seconds.
  • Ensure uploaded file URLs are publicly accessible.
  • A longer reference video does not guarantee an output of the same length. For example, a 10-second driving video may still produce a shorter result if the upstream model only extracts part of the video as valid continuous motion.

Related Models

Note:This website uses AI models provided by third parties.

Kling v3.0 Std Motion Control API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/kwaivgi/kling-v3.0-std/motion-control with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Kling v3.0 Std Motion Control below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "character_orientation": "video",
    "keep_original_sound": true
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-v3.0-std/motion-control" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/kwaivgi/kling-v3.0-std/motion-control";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "character_orientation": "video",
        "keep_original_sound": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "character_orientation": "video",
    "keep_original_sound": True
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/kwaivgi/kling-v3.0-std/motion-control", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Kling v3.0 Std Motion Control API — Frequently asked questions

What is the Kling v3.0 Std Motion Control API?

Kling v3.0 Std Motion Control is a Kuaishou model for pose / motion driven video, exposed as a REST API on WaveSpeedAI. Kling 3.0 Standard Motion Control transfers motion from reference videos to animate still images. Upload a character image and a motion clip (dance, action, gesture), and the model extracts the movement to generate smooth, realistic video. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Kling v3.0 Std Motion 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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/kwaivgi/kwaivgi-kling-v3.0-std-motion-control.

How much does Kling v3.0 Std Motion Control cost per run?

Kling v3.0 Std Motion Control starts at $0.63 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 Kling v3.0 Std Motion Control accept?

Key inputs: `prompt`, `image`, `video`, `negative_prompt`, `character_orientation`, `element_list`. 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/kwaivgi/kwaivgi-kling-v3.0-std-motion-control.

How long does Kling v3.0 Std Motion Control take to generate?

Median end-to-end generation time on WaveSpeedAI is around 224 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Kling v3.0 Std Motion Control outputs commercially?

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

Kling V3.0 Std Motion Control | AI Motion Control Video API | WaveSpeedAI