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✦ NEW - Kling 3.0 Motion Control

Kling 3.0 Motion Control -
Video Generation Model

Create precise AI animations using Kling 3.0 Motion Control video model on OpenArt. Upload a reference video and apply the exact movement to a new character or scene. Click the button below to generate realistic motion, choreography, and cinematic shots with full control.

Kling
Kling 3.0 Motion Control
Add video of character actions to mimic
Add character image
Sample Video
Community

Community Creations

See what creators are making with Kling 3.0 Motion Control. From cinematic camera moves to fluid character animations.

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Key Features of Kling 3.0 Motion Control

  • Reference Motion Transfer: Upload a video and replicate its body movement, gestures, and timing on a different character or scene.
  • Character Identity Preservation: Maintain consistent faces, clothing, and appearance while applying new motion.
  • Cinematic Camera Direction: Combine motion transfer with camera instructions like tracking shots, pans, and zooms.
  • Face Occlusion And Identity Restoration: Preserve a character's identity even when the face becomes partially hidden during movement.
Motion Transfer

Reference Motion Transfer

Kling 3.0 Motion Control extracts movement patterns from a reference video and applies them to a new character or scene. When you upload a motion clip, the model tracks how the subject moves across frames and reproduces the same timing, body posture, and gesture sequence in the generated video.

Identity Preservation

Character Identity Preservation

Kling 3.0 Motion Control keeps the character's appearance stable while the motion is applied. You can upload reference images that define the character's face, hair, clothing, and overall design, and the model maintains those details across the generated frames.

Camera Control

Cinematic Camera And Scene Control

Kling 3.0 Motion Control separates the motion of the character from the surrounding scene and camera setup. The reference video determines how the character moves, while the text prompt controls the environment, lighting, and camera direction.

Face Occlusion

Face Occlusion And Identity Restoration

Kling 3.0 Motion Control can preserve a character's identity even when the face becomes partially hidden during movement. When objects such as hands, props, or clothing cover parts of the face, the model uses reference images through Element Binding to restore facial details accurately across frames.

How To Use Kling 3.0 Motion Control AI Video Generator

Turn a real motion clip into a new AI video in five simple steps.

01 Pick the model
To get started, select the Kling 3.0 Motion Control AI video model.
02 Upload motion reference
Upload a reference video that contains the movement you want to reproduce. This clip will define how the character moves in the generated video.
03 Add character image and prompt
Upload an image that defines the character and write a prompt describing the environment, lighting, or camera setup for the scene.
04 Generate and review
Generate the video and review how the motion has been applied. Adjust the prompt, character image, or reference clip to refine the results.
05 Save and share
Once the animation matches your vision, save the video or share it directly.
Step 1: Select the Kling 3.0 Motion Control model on OpenArt
Step 2: Upload a motion reference video to guide AI movement
Step 3: Add a character image and text prompt for the AI video
Step 4: Generate and review the AI motion-controlled video output
Step 5: Save and share your Kling 3.0 AI-generated motion video

How To Get The Best Results With Kling 3.0 Motion Control

Use clear reference motion

Choose a reference video where the subject is clearly visible and the movement is not too fast or blurred. Smooth, steady clips usually transfer motion more accurately.

Match the character pose

Uploading a character image with a body orientation similar to the subject in the reference video helps the model adapt the motion more naturally.

Keep the environment simple

Starting with a simple environment and lighting setup can improve early results. After confirming that the motion transfers correctly, you can experiment with more complex scenes.

Describe the scene instead of the action

The motion should come from the reference video, while the prompt should describe the environment, lighting, and camera style.

Experiment with different references

Trying different motion clips can significantly change the outcome. Some references produce smoother animation than others.

Refine through iteration

Small changes to the prompt, camera direction, or reference inputs across multiple generations can help you gradually reach the desired result.

FAQ

Frequently Asked Questions

The model typically uses a reference video to guide motion, a character image to define appearance, and a text prompt to control the environment and camera direction.
Reference clips that clearly show the subject's body movement usually produce the best results. Videos with smooth motion, minimal blur, and a visible subject work most accurately.
Yes. The reference video controls the character's movement, while the prompt can describe the camera direction, scene composition, and lighting. This allows the same motion to be placed into different cinematic settings.
Yes. You can upload an image of a character and apply motion from a real video. The model recreates the motion while preserving the character's visual appearance.