Match Body Framing
Pair half-body reference images with half-body motion videos, and full-body images with full-body motion videos. Mismatched framing is the most common cause of unstable output in motion control kling ai generations.





Transfer dynamic controlled motions from any reference video to your character image. Kling AI 2.6 Motion Control delivers frame-perfect full-body synchronization, precise hand gestures, and up to 30 seconds of uninterrupted motion — all in one generation.
Kling 2.6 Motion Control captures every posture shift, body turn, and movement rhythm from your reference video and maps it precisely onto your character. Even large dynamic controlled motions stay stable and natural throughout the generated clip.
Unlike basic motion control video tools, Kling AI 2.6 Motion Control handles coordinated multi-limb sequences — martial arts, dance routines, athletic movements — with consistent structure and zero motion breakdown.
Kling AI Motion Control preserves fine-grained hand gestures with high fidelity. Pointing, grasping, expressive finger movements — all transferred accurately. Ideal for product demos, presentations, and dialogue-driven content.
Kling 2.6 Motion Control does more than body movement transfer. It preserves layered facial behavior—blink cadence, lip motion, subtle muscle shifts, and emotional timing—so expression stays coherent with the action. This is especially valuable for talking-head explainers, dialogue scenes, and emotion-driven performances where realism matters.
Motion comes from your reference video. The scene is yours to define. Use text prompts to set backgrounds, lighting, and environments — reuse the same dynamic controlled motions across completely different visual contexts.
Pair half-body reference images with half-body motion videos, and full-body images with full-body motion videos. Mismatched framing is the most common cause of unstable output in motion control kling ai generations.
Choose reference videos with natural, steady movements. Overly fast actions or abrupt direction changes reduce the accuracy of dynamic controlled motions transfer.
For large gestures or full-body sequences, ensure the character image has enough visual space. Tight crops restrict motion range and affect output stability.
The character's full body and head should be clearly visible in the reference image. Kling 2.6 Motion Control supports one primary character per generation — realistic, anime, and humanoid styles all work.
For best results, use motion reference videos featuring one person. Avoid camera cuts, rapid zooms, or frequent panning — these interfere with motion extraction in the Kling AI 2.6 Motion Control pipeline.
Kling 2.6 Motion Control is an AI model by KuaiShou that transfers real human actions, gestures, and expressions from a reference video to a character image. It generates a new motion control video with your character performing the same dynamic controlled motions.
The motion reference video must be MP4 or MOV format, up to 100MB, and between 3 to 30 seconds in duration.
Character reference images support JPEG, JPG, and PNG up to 10MB. The image should clearly show the character's head and torso, with an aspect ratio between 2:5 and 5:2.
'Match Image' aligns the character to the reference image orientation for stable framing (up to 10s). 'Match Video' follows the reference video orientation for stronger motion fidelity in Kling AI 2.6 Motion Control (up to 30s).
720p costs 6 credits per second and 1080p costs 9 credits per second, calculated from the reference video duration.
Yes. Kling AI Motion Control supports realistic and stylized characters alike — humans, humanoid animals, and characters with partial humanoid proportions all work well.
Generation time depends on video length. Approximately 36-40 seconds of processing time is needed per 1 second of video. Estimated time by duration: - 5 seconds: ~3 minutes - 10 seconds: ~6 minutes - 15 seconds: ~9 minutes - 20 seconds: ~12 minutes - 25 seconds: ~15 minutes - 30 seconds: ~18 minutes Generation time may vary slightly depending on server load.
Yes. If video generation fails, the system will automatically refund the credits consumed for this task to your account.