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Available now on ModelsLab · Video Generation

Kling Motion ControlMotion Transfer Mastery

Try Kling Motion ControlAPI Documentation

Control Motion Precisely

Full-Body Precision

Extract Complete Sequences

Analyzes 3-30s reference videos for body positions, limb articulation, and transfers to images.

Dual Orientation

Match Video or Image

Replicates camera framing from video or preserves image pose with dynamic movement.

Prompt Refinement

Tune Scenes Independently

Adjust backgrounds, lighting, and styles via text while locking motion accuracy.

Examples

See what Kling Motion Control can create

Copy any prompt below and try it yourself in the playground.

Urban Dance

“A stylized robot dancer in neon-lit city street at night, full-body rhythmic choreography from reference video, dynamic camera tracking, cyberpunk atmosphere, high detail, smooth motion.”

Product Demo

“Sleek metallic drone hovering and rotating in modern studio, precise hand gestures from reference demonstrating controls, soft lighting, professional product showcase, 1080p.”

Architectural Flythrough

“Futuristic glass skyscraper exterior, smooth panning camera motion from reference, golden hour sunlight, reflective surfaces, cinematic depth of field.”

Nature Timelapse

“Ancient oak tree swaying in wind, subtle branch and leaf motion from reference video, forest background with mist, realistic physics, 4K resolution.”

For Developers

A few lines of code.
Motion videos. Two calls.

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

  • Serverless: scales to zero, scales to millions
  • Pay per second, no minimums
  • Python and JavaScript SDKs, plus REST API
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/video-fusion/motion-control",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "make this image accurately animate to the video",
  "init_image": "https://assets.modelslab.ai/generations/8d4def68-7edd-449c-b5ce-2ba4a5108f43.jpg",
  "init_video": "https://assets.modelslab.ai/generations/5c570825-d8dc-421c-876d-e0ce3ee6b7bc.mov",
  "character_orientation": "image"
}
)
print(response.json())

FAQ

Common questions about Kling Motion Control

Read the docs

Kling Motion Control API transfers motion from 3-30s reference videos to static images. It handles full-body dynamics, hand gestures, and facial expressions. Endpoint: fal-ai/kling-video/v2.6/standard/motion-control.

Upload image and reference video; AI extracts skeletal motion and applies it to the character. Use text prompts for scene details. Supports up to 30s continuous sequences.

Match character body type between image and video references. Use moderate-speed motions with space for movement. Select orientation mode: match video or image.

Kling Motion Control excels in precision motion transfer for videos up to 30s. Alternatives lack its skeletal analysis and full-body consistency. This API provides direct access.

Images: JPG, PNG up to 10MB, 300x300px min. Videos: MP4, MOV 3-30s up to 100MB. Outputs preserve soundtrack or silent.

Yes, captures dance, martial arts, gestures with natural transitions. Maintains character identity and physics coherence over full duration.

Ready to create?

Start generating with Kling Motion Control on ModelsLab.

Try Kling Motion ControlAPI Documentation