Motion Control is an AI video workflow that transfers movement from a reference video to a character, subject, or image. It is useful for motion-guided generation, pose transfer, and character animation from video references.
Motion Control
Transfer human motion from a reference video onto a character image using AI motion transfer technology
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Motion Control AI for controllable video generation
VidGen brings motion control into one AI video workspace so you can transfer movement from a reference video to a character or subject image. Use it as a motion control AI workflow for character animation, motion transfer, and reference-driven video creation. Start with free credits, create watermark-free results, and explore motion control models as support expands over time.
Kling 3.0
Kling 2.6
See what Motion Control can create
This motion control example starts with a character image and a reference motion video, then turns them into a new animated clip. It is a useful way to understand how motion transfer AI can preserve the subject's visual identity while following body movement, pose changes, timing, and energy from the reference.
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How to use Motion Control
Use Motion Control in three simple steps to turn reference movement into a generated video, or watch the tutorial when a video is available.
Step 1 — Upload a character or subject image
Add a clear image of the character, person, or subject you want to animate. A strong input image usually helps motion control produce cleaner body structure, better consistency, and more stable visual detail.
Step 2 — Upload a reference motion video
Add a motion reference video that shows the movement you want to transfer. Motion control AI works best when the action is easy to read, such as walking, turning, dancing, posing, or upper-body gestures.
Step 3 — Generate and download
Create the video and wait for processing to finish. Preview the result, compare reruns, and download a watermark-free clip when it is ready.
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Frequently Asked Questions
Motion control AI uses a reference video to guide movement in a newly generated result. Instead of describing motion only with text, you can provide real visual motion as input and let the model follow timing, pose, and body dynamics more directly.
Motion transfer AI is a similar concept to motion control AI. It usually means applying motion from one source, such as a person in a video, to another target, such as a character image or stylized subject.
Yes. Motion Control can be used as a character animation AI workflow when you want a still character image to follow movement from a reference clip. It works especially well for dance, gestures, posing, walking, and simple performance-driven motion.
Yes. Motion Control on VidGen currently supports Kling-based motion control workflows, and broader model coverage may expand over time.
VidGen's Motion Control page is designed as a broader motion control entry point rather than a single-model page, so it can support additional motion control models as they become available.
Reference videos with clear subject movement, visible limbs, stable framing, and readable pacing usually work best. Simple, well-lit clips are often easier for motion control AI to follow than crowded or chaotic scenes.
No. You do not need mocap hardware. A normal reference video can be enough for many motion transfer AI use cases.
No. Generated videos can be downloaded without watermarks.
