
A Beautiful Woman
Bring a static character to life. Upload a character image and reference video, and Kling 3.0 Motion Control reproduces complex motion, subtle emotion, and framing changes with stronger face consistency.
AI uses the uploaded image as character appearance. The video provides motion reference only.

A Beautiful Woman

Beautiful Woman Dancing

The Three Of

Beautiful Woman Dancing

A Joyful Red-haired

The Beautiful Woman

Soft Focus A

参考首帧图片,让首帧图片中的问题

The Beautiful Woman

In The Picture

The Camera Follows

The Motorcyclist Was

The Beautiful Woman

A Cinematic Ultra-realistic

The Car Was

The Beautiful Woman

Long Shot High-speed

The Little Boy

Cinematic Fashion Film

A Thrilling Live
Consistent Facial Identity from Any Angle: when the character turns or the camera moves around the subject, the same face stays more stable. Ideal for narrative shots, digital humans, and multi-angle performances.

Complex Emotions, Faithfully Reproduced: smiles, sadness, surprise, and subtle eye or brow changes are transferred more naturally to the generated character performance.

Face Occlusion, High-Fidelity Restoration: when hands, props, or partial obstructions cover the face, the system restores facial detail more reliably and reduces distortion.

Consistent Facial Clarity Across Dynamic Framing: push-ins, pull-backs, and reframing changes keep the face clearer and more stable, which is critical for ad shots and cinematic camera moves.

Use Creative R2 media to show how reference frames, motion prompts, and final outputs relate. The left side is the reference frame, and the right side is the generated result.

The official set uses head turns and angle changes as the motion driver, validating that the same face can remain stable across different viewpoints.
These strengths cover identity consistency, emotion transfer, occlusion repair, and dynamic framing stability, with visuals sourced from the Creative R2 sample library.
Aligned with the official flow: upload the motion reference, upload the character image, add prompt guidance, then generate the final video.
Start with a reference video that contains the motion, expression, and camera change you want to transfer. Clear face visibility usually improves results.
Add the character image that defines appearance and identity. Higher resolution, clean lighting, and minimal occlusion usually help face consistency.
Use a prompt to control background, camera language, lighting, and atmosphere so the transferred motion lands in the scene you actually want.
Preview the final result, verify identity consistency and expression transfer, then export for publishing or another round of iteration.
The application directions still follow identity, emotion, occlusion, and framing capabilities, while the visuals use separate Creative R2 clips to reduce repetition on the page.

Best for head turns, side-profile changes, camera orbits, and digital human performances where keeping the same face across angles matters most.
Teams use Kling 3.0 Motion Control to produce more stable character animation and face-consistent video faster.
Before: spending $200/video on freelance animators with 3-day turnaround. Now I upload dance footage and character art — professional animation ready in minutes. My YouTube output tripled.
Alex Chen
Content Creator
We were quoted $15K for motion capture on a short film. Motion Control AI delivered cinematic-quality results that met broadcast standards — at roughly 10% of that cost.
Mike Rodriguez
Film Producer
Our brand mascot was just a static logo. Now it dances, gestures, and presents products. Conversion rates improved 35% after switching to animated spokesperson videos.
Emma Williams
Marketing Manager
Need help? Contact [email protected].
Need help? Contact [email protected]
Upload a character image and reference video, then generate more stable animation for motion, expression, and camera-driven scenes in seconds.