Complex Motion Handling
It can perform complex sequences of movements, such as dance steps or martial arts techniques, without losing character consistency. The model understands weight transfer and momentum, meaning that if your reference video shows a heavy stomp or a high jump, the generated character will realistically reflect that physical impact.
| Preset Motion | Output Video |
|---|
 |  |
Hand & Finger Motion Capture
Hand movements have always been a weak point in AI-generated videos. This feature significantly improves the fluidity of finger joint movements and hand gestures by mimicking real video footage.
Control over Scene, Clothing, and Environment with Texts
You don't have to be limited to the background of the reference video. You can use text to instruct the AI to change the environment (for example, "replace the grassland with the sea"), while the characters will still perform the actions from the reference video.
| Input Video | Prompt Example | Output Video |
|---|
 | Keep all character movements, running speed, body posture, timing, interaction, and camera motion unchanged, matching the reference video frame by frame. Only change the environment: replace the beach setting with a lush green grass field. |  |
Direct Movement with Text Prompts
Unlike traditional animation workflows, Kling Motion Control responds directly to natural language instructions, enabling precise control without technical complexity.
| Prompt Example | Output Video |
|---|
| Slow 360° orbit around a luxury watch product, maintaining focus on the watch face with subtle upward tilt to highlight the strap details. Motion speed: 0.8x, smoothness: 100%. |  |
Reusable Motion for Scalable Content
Reuse one motion reference across multiple characters to create consistent campaigns, tutorials, or product demos without reshooting footage.
| Character Image | Same Motion | Output |
|---|
 | ✓ |  |
 | ✓ |  |