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Kling Motion Control AI

Upload a character image and a motion reference video to generate stable, frame-consistent motion transfer clips.

Motion Control WorkArea

Character Image
PNG/JPG/WEBP (max 10MB)
Motion Reference Video
MP4/MOV/WebM (2s-30s, max 200MB)
Sample Videos
Sample Video 1
Sample
Sample Video 2
Sample
Sample Video 3
Sample
Resolution

Motion Control Result

Your generated video will be shown below. Free users' videos are saved for 1 hour. Please download promptly. You can view your previous videos in Products.

Result Time 4-8 min

What is Kling Motion Control?

Kling Motion Control transfers movement from a reference video to a target character image while keeping timing and identity more stable.

Image to Video AI What Is 1

What It Does (Role and Use Cases)

You provide one character image and one motion reference video, and the system recreates the same gesture pattern, pacing, and performance direction on the target character. This is useful for creator workflows, digital presenters, campaign variants, and character-based short video production.

How It Works (Core Principle)

The pipeline extracts motion trajectories, pose flow, and timing cues from the reference clip, then maps those signals onto the character structure inferred from the input image. The goal is to preserve the rhythm of the original performance while maintaining the look of the uploaded character.
Image to Video AI What Is 2

What Makes It Different

Instead of writing prompts for motion from scratch, motion control reuses an existing performance. That makes it more predictable for gestures, dance beats, presenter body language, and repeatable movements where timing matters.

Best Input Guidance

Use a clear character image with visible body structure and a reference clip with one dominant performer. Strong lighting, readable movement, and limited occlusion generally improve transfer quality.

Motion Control AI Highlights

The main reasons teams use motion transfer instead of manually directing each movement.

Frame-Consistent Motion Transfer

Transfer gestures, pacing, and body performance from a reference video to your target character while keeping visual identity more stable across frames.

Standard vs Pro Output Paths

Use 720p for faster iteration and lower credit cost, then switch to 1080p when you need cleaner detail and stronger final presentation.

Reference-Led Creative Control

Because motion comes from a real clip, you can preserve specific beats, gestures, and presenter energy more reliably than trying to describe movement only with prompts.

Reusable Production Workflow

One motion reference can be tested across different characters, making it useful for campaign variants, avatar experiments, and scalable character-led video pipelines.

How to Use Motion Control AI

Upload your character, add a reference performance, choose quality, and generate motion transfer video.

How to Use Motion Control AI
1

Upload a Character Image

Start with a clear image of the character you want to animate. Strong subject separation and visible body structure usually make motion transfer cleaner.

2

Add a Motion Reference Video

Upload your own motion clip or pick a sample video. The generated output will follow the timing, gestures, and body language from this reference.

3

Choose Resolution

Select 720p for quicker iteration or 1080p for more polished output quality. Credit cost changes with resolution.

4

Generate and Download

Run generation, preview the transferred motion in the result panel, then download the finished clip or review it later from Products.

Who Uses Motion Control AI?

Content Creators

Reuse dance clips, presenter gestures, and acting beats across different characters for Shorts, Reels, and creator-led content.

Marketing Teams

Build branded spokesperson and mascot variations from one performance source while keeping delivery faster than full production.

Education and Training

Create avatar-led lessons or presenter videos with more controlled body language by borrowing movement from a reference clip.

Studios and Creative Ops

Prototype multiple character variants from the same motion reference, helping teams test concepts before investing in larger animation workflows.

Frequently Asked Questions about Motion Control AI

It converts movement from a reference video into a generated character video using your uploaded image, keeping performance timing and gestures aligned.
You need one character image and one reference motion video. The image defines who appears in the result, while the video defines how that character moves.
Yes. You can select a sample motion clip when you want to test the workflow quickly before preparing your own reference footage.
720p is better for testing and iteration because it is cheaper and faster. 1080p is better when you want cleaner visual detail in the final output.
No. The reference video mainly provides movement, rhythm, and gesture guidance. The generated result should follow the uploaded image for character identity.
Use clips with one clear performer, readable body movement, and limited occlusion. Stable framing and good lighting usually improve transfer quality.
Yes, subject to your source asset rights and platform terms. Make sure you have permission to use both the uploaded character image and the reference motion footage.