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Kling 3.0 Motion Control API

Drive any character with a reference motion video — Kling 3.0's motion-controlled generation lets you replay any movement on a new subject without mocap rigs.

About the Kling 3.0 Motion Control API

What Kling 3.0 Motion Control does, how it fits in the Kuaishou model lineup, and why teams reach for it.

Kling 3.0 Motion Control is a video generation model from Kuaishou, available through the WaveSpeedAI REST API. Drive any character with a reference motion video — Kling 3.0's motion-controlled generation lets you replay any movement on a new subject without mocap rigs.

The Kling 3.0 Motion Control family on WaveSpeedAI ships 1 REST endpoint covering Motion-Control workflow. Each variant carries its own pricing, parameter knobs, and example outputs — pick the one that matches your input modality and production constraints, or call several from the same API key to compose multi-step pipelines.

Run Kling 3.0 Motion Control through the same API key, billing account, and rate-limit envelope you use for the other 1,000+ AI models on WaveSpeedAI. No separate vendor setup, no per-provider SDKs, no per-vendor rate-limit envelopes — one integration covers everything from text-to-image and text-to-video through audio synthesis, 3D generation, upscaling, and editing.

All Kling 3.0 Motion Control API endpoints

1 endpoint available now on WaveSpeedAI — pick the variant that matches your workflow.

See Kling 3.0 Motion Control in action

Real outputs generated by the Kling 3.0 Motion Control API. Hover any video to preview, click to open the full-size viewer.

How to use the Kling 3.0 Motion Control API

Four steps from signup to a finished generation. Full Python, Node.js, and cURL examples are in the API section below.

  1. 1

    Get an API key

    Sign up for a WaveSpeedAI account and copy your API key from the dashboard. New accounts come with free starter credits — enough to run the playground a few dozen times before billing kicks in.

  2. 2

    Submit a prediction

    POST your input as JSON to https://api.wavespeed.ai/api/v3/kwaivgi/kling-v3.0-std/motion-control. The endpoint returns a prediction id immediately — generations are async so you don't hold an open connection during inference.

  3. 3

    Poll for completion

    GET https://api.wavespeed.ai/api/v3/predictions/{request_id}/result every 1-2 seconds. The response includes a status field; keep polling until it flips from "queued" or "processing" to "completed".

  4. 4

    Read the output URL

    Once status is "completed", read the URL from data.outputs[0]. The URL points to your generated media on the WaveSpeedAI CDN — image, video, audio, or 3D file depending on the Kling 3.0 Motion Control variant you called.

What you can build with Kling 3.0 Motion Control

Common workflows developers and creators use the Kling 3.0 Motion Control API for.

Choreography videos

Upload a dance reference + a character image — get a video of that character performing the same choreography. Useful for music videos, brand content, and creator pipelines.

dancechoreographymusic

Sports action with custom subjects

Drive any character with sports motion references — useful for brand mascot animations, athlete-themed promos, and educational sport content.

sportsactionbrand

Character swap in existing motion

Replace the subject of an existing video with a new character while keeping the original motion. Useful for stunt-double-style workflows and creative re-castings.

swapreplaceremix

Animated character reels

Single character image + a library of motion reference clips → a full animation reel showcasing the character in different actions.

reelshowcaseanimation

Indie-creator mocap alternative

For solo creators without access to a mocap studio — record yourself doing the motion, drive a stylized character with it. No suit, no rig, no studio.

indiemocapcreator

Tips for prompting Kling 3.0 Motion Control

Practical advice for getting better outputs from Kling 3.0 Motion Control — drawn from the patterns that work across video models in production pipelines.

Be specific about camera moves

Mention concrete cinematography vocabulary — orbit, dolly-in, push-in, pan-left, crane shot, handheld follow. Generic prompts produce static or arbitrary camera choices; named camera moves map directly to motion intent in the model's training data and dramatically improve shot quality.

Anchor character identity with reference images

If your prompt depends on a specific person, character, or product, upload a reference image alongside the prompt. Without a reference, identity drifts across frames and across shots — the same character ends up looking like a slightly different person each generation.

Describe lighting and time of day

Lighting cues like 'golden hour, soft warm directional light' or 'overcast diffused light, slate-grey sky' improve quality and consistency far more than vague quality modifiers. Lighting is one of the strongest priors the model conditions on.

Use negative prompts to suppress common failure modes

Useful negatives for video: 'frame flicker, motion blur, watermark, text artifacts, distorted hands, low resolution, jpeg compression'. Negative prompts cost nothing and noticeably reduce the rate of generations you'd otherwise re-roll.

Pick the shortest duration that captures your beat

Most prompts work best at 5-8 seconds. Longer clips amplify temporal inconsistencies (subject morphing, environment drift). If you need a 20-second sequence, generate three 6-8 second clips and edit them together — quality stays higher than one long generation.

Match aspect ratio to platform up front

9:16 for TikTok / Reels / Shorts, 16:9 for landscape feeds and YouTube, 1:1 for post grids. Models train slightly differently per aspect ratio — cropping a 16:9 to 9:16 after the fact loses both fidelity and the composition the model intended.

Kling 3.0 Motion Control API pricing

Pricing is per-output. The final charge scales with the parameters you set in each variant's playground (resolution, duration, output count, references).

EndpointTypeStarting price
kwaivgi/kling-v3.0-std/motion-controlmotion-control$0.63

Call the Kling 3.0 Motion Control API

Sign up for an API key at wavespeed.ai/accesskey, then submit a prediction via REST. The playground generates ready-to-paste samples for any combination of inputs.

HTTP example
# 1. Submit a prediction
curl -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 '{}'

# 2. Poll the result until status = "completed"
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# Read the output URL from data.outputs[0].
Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY

const result = await client.run("kwaivgi/kling-v3.0-std/motion-control", {});
console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "kwaivgi/kling-v3.0-std/motion-control",
    {}
)
print(output["outputs"][0])  # → URL of the generated output

Kling 3.0 Motion Control vs alternatives

When to pick Kling 3.0 Motion Control over similar models on WaveSpeedAI.

Kling 3.0 Motion Control vs Wan 2.2 Animate

Both are pose-driven animation endpoints. Wan 2.2 Animate is open-weight-derived and supports LoRA fine-tuning. Kling Motion Control has stronger identity preservation and motion priors trained on Kuaishou's massive video catalog.

Kling 3.0 Motion Control vs Standard Kling 3.0

Standard Kling generates from text or image without explicit motion reference. Motion Control accepts and follows a driving video — the right tool when you need a specific movement, not a generated approximation.

Kling 3.0 Motion Control vs Runway ML motion tools

Runway's motion tools require multi-step workflows in their editor. Kling Motion Control is a single REST call — simpler to integrate into your own pipeline.

Kling 3.0 Motion Control API — Frequently asked questions

Pricing, license, integration — common questions about running Kling 3.0 Motion Control on WaveSpeedAI.

What is the Kling 3.0 Motion Control API?

Kling 3.0 Motion Control is a Kuaishou video generation model exposed as a REST API on WaveSpeedAI. Drive any character with a reference motion video — Kling 3.0's motion-controlled generation lets you replay any movement on a new subject without mocap rigs. You can call it programmatically or try it from the playground linked above.

How do I call the Kling 3.0 Motion Control API?

Sign up for a WaveSpeedAI account, copy your API key from /accesskey, then POST to https://api.wavespeed.ai/api/v3/kwaivgi/kling-v3.0-std/motion-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]. Full Python / Node.js / cURL examples are above.

How much does the Kling 3.0 Motion Control API cost?

Kling 3.0 Motion Control starts at $0.63 per run. The exact cost scales with the parameters you set (resolution, duration, output count, references). The live cost preview next to the Generate button in the playground shows the exact price for your current input.

Which Kling 3.0 Motion Control variants are available?

WaveSpeedAI hosts 1 Kling 3.0 Motion Control endpoints: kwaivgi/kling-v3.0-std/motion-control. Each variant has its own playground page and pricing.

Can I use Kling 3.0 Motion Control outputs commercially?

Commercial usage rights follow the Kuaishou model license. Most Kuaishou models permit commercial output use; see each model's playground page for the specific license summary, and WaveSpeedAI's Terms of Service for platform-level conditions.

Why use Kling 3.0 Motion Control on WaveSpeedAI instead of going direct?

One API key + one billing account across Kling 3.0 Motion Control AND 1,000+ other AI models from other providers. No per-vendor SDK setup, no separate rate-limit envelopes, no rewrite-per-vendor integration code. Pricing is typically at parity with or below Kuaishou's direct API.

About Kuaishou

The team behind Kling 3.0 Motion Control and the broader Kuaishou model lineup on WaveSpeedAI.

Kuaishou is a major Chinese short-video platform and the team behind the Kling family of video generation models. Kling is best known for long-form continuous video — up to 30 seconds in a single generation — with strong character identity preservation, useful when storyboarding multi-shot sequences from a reference person.

Start building with Kling 3.0 Motion Control on WaveSpeedAI

Free starter credits on signup. One API key across 1,000+ AI models from Kuaishou and every other provider.