Kling Motion Control Workflow

Stop asking AI to guess how your character should move. Kling 3.0 Motion Control lets you use a real movement reference to transfer motion, facial expressions, and timing onto your character image, creating more controlled and repeatable AI video.

This practical guide shows you exactly how to use Kling 3.0 Motion Control inside Higgsfield — from choosing the right model and preparing your assets to setting Scene Control Mode, writing the environment prompt, and generating the final video.

The core workflow

The process is built around two inputs:

• Reference video: The movement source. Kling reads the action, timing, and expressions.

• Character image: The subject that receives the movement.

Instead of describing movement and hoping the model interprets it correctly, you give it an actual performance to follow. The guide explains how to choose references that produce cleaner results and how to match the framing between your video and character image.

Control the scene without controlling the motion

One of the most important parts of the workflow is Scene Control Mode.

You'll learn when to use:

• Video — use the reference video's background or create a custom environment through your prompt.

• Image — preserve the setting from your character image.

The guide also shows you what to put in the prompt: focus on the background, environment, lighting, and atmosphere, while letting the reference video handle the movement.

Get better results from the start

The guide includes practical rules for preparing both inputs, including:

• Matching the framing between the character and reference

• Keeping the face and body visible

• Making sure limbs aren't hidden

• Leaving enough negative space for movement

• Choosing clean, single-person motion references

• Avoiding difficult movements and heavy occlusion

• Testing at 720p before moving to 1080p

These details matter because the quality of the source material directly affects how cleanly the motion transfers.