Best AI motion control: Kling 3.0 vs Wan Animate vs Runway Act-Two

Name the control signal

Five different things are sold as AI motion control

Performance transfer

A driving video supplies body movement, facial expression, timing, and sometimes speech. The model renders that performance as a different character. Kling Motion Control and Runway Act-Two live here.

Character replacement

The original video's action, framing, background, and often lighting remain, while its performer is replaced. Wan Animate Mix is the clearest example.

Pose or skeleton control

A pose sequence constrains joints without copying every pixel or expression from the source. It is useful when body geometry matters more than exact acting.

Trajectory or motion-path control

Tracked points, masks, or a motion brush tell a subject or object where to travel. This controls location, not a complete human performance.

Camera and keyframe control

Dolly, pan, orbit, start/end frames, or intermediate frames constrain the shot. Camera movement is not character movement, even when both happen in the same clip.

A still character animated from a dance video is performance transfer. Putting that character into the dancer's original kitchen is character replacement. Moving the camera around a still subject is camera control. If the input and desired output do not match the model's control type, prompting harder will not fix the mismatch.

Fast comparison

Kling vs Wan vs Runway vs LTX at a glance

The hosted tools reduce setup and expose a deliberate product workflow. Wan and LTX let you own more of the graph, but you also own the preprocessing, memory errors, node versions, and failed frames. That trade is worth making only when control or repeat use pays back the setup.

Hosted full-body transfer

Kling 3.0 Motion Control is the easiest strong starting point

Kling takes a character image and a reference action video, then transfers movement and expression. The official VIDEO 3.0 workflow also offers facial Element Binding: extra face images or a face video can improve identity through head turns, emotion changes, occlusion, and dynamic framing.

The current guide accepts a 3–30 second motion reference and aims to match the output duration to it. Standard and Professional modes are priced per second. That makes Kling attractive for a defined shot, but expensive when the source performance is sloppy and every retry is another 20 seconds.

• Match a full-body character image to a full-body driving video, or half-body to half-body. The model should not have to invent the missing legs while tracking them.
• Use one performer, one continuous shot, moderate motion, and little camera movement in the driving clip. Kling itself recommends those constraints.
• Leave physical space around the character for large movements. A reference cannot create room outside a tightly cropped character image.
• Treat facial Element Binding as face reference only. Kling states that it does not preserve clothing, hairstyle, makeup, or props.

Kling supports one bound element in this motion-control flow. A frame may contain several people, but the system can select the largest person and ignore the rest. It is not a reliable two-actor choreography tool.

Open motion and replacement

Wan 2.2 Animate has two modes: Move and Mix

Wan2.2-Animate-14B is an Apache-2.0 model with released weights and inference code. It matters because one architecture handles two jobs that hosted products often separate. The names in ComfyUI are simple once you stop treating them as synonyms.

The official ComfyUI workflow uses pose and face preprocessing, masks and point alignment for replacement, plus repeated extension blocks for longer output. This is powerful because every stage is visible. It is also why Wan Animate is not the “free Kling” shortcut some lists imply.

Start at a small frame size with a short, clean source clip. Prove that pose extraction, face control, masks, and the base generation work before adding extension blocks. Long generations compound drift; one broken early segment can poison every segment after it.

Wan2.2 Animate is the open-weight model discussed here. Alibaba Cloud also offers hosted Wan image-to-action and character-swap products. Those services are not proof that the same workflow or current hosted model weights are downloadable.

Acting before locomotion

Runway Act-Two is the specialist for performance capture

Act-Two transfers motion, speech, expression, and—when supported—gestures from a driving performance. The input choice changes the behavior. With a character image, Runway can use gesture control for hands and body and adds environmental motion. With a character video, it retains the source character clip's scene and camera movement, then drives facial motion and expression; gesture control is not available in that mode.

This makes Act-Two especially sensible for a speaking close-up, stylized character, or expressive performance where the timing comes from a human actor. The official limit is up to 30 seconds at 24fps, with multiple aspect ratios, and the current cost is five credits per second with a three-second minimum.

It is less compelling when your real requirement is a precise dolly move or an object following a path. Act-Two can retain or add environmental/camera motion depending on the character input, but its core abstraction is still an actor driving another character.

If you use a shorter character video than the performance, Runway documents that the character video may loop with a reversed “boomerang” effect. Match clip lengths when natural background and camera motion matter.

Control as building blocks

LTX is for pose, tracked paths, keyframes, and camera moves

LTX is the best fit here when you want a graph, not a motion-upload form. The official model repository currently lists an LTX-2.3 Motion-Track Control IC-LoRA and Union Control, plus published pose-control and camera-control LoRAs for the 19B generation. Camera controls include directions such as dolly in/out, dolly left/right, jib up/down, and static.

That modularity is useful for product shots, blocking, previs, keyframe interpolation, and repeatable camera language. A motion track can constrain where something travels. A pose map can constrain a body. A camera LoRA can constrain viewpoint movement. None automatically supplies the micro-expression of a good acting take.

The version caveat matters. Do not stack a control labeled for LTX-2 19B onto an LTX-2.3 22B checkpoint because the filenames look related. Start from an official compatible workflow, verify the base checkpoint and control version, then change one component at a time.

LTX controls inherit the LTX-2 Community License. The license includes use restrictions and requires entities with annual revenue of at least $10 million to obtain a paid commercial-use license.

Garbage in becomes expensive garbage

Prepare the driving video and character before spending credits

1. Use one consenting adult performer. Record or license the driving performance, and use a fictional or explicitly authorized character. Motion transfer is not permission to impersonate a private person.
2. Keep the take continuous. Remove cuts, speed ramps, reframes, and edits. The model needs a motion signal, not a finished music video.
3. Match the crop. Full-body motion needs a full body and room to move. A close portrait is appropriate for a talking-head performance, not a cartwheel.
4. Keep joints visible. Heavy occlusion, hands behind the torso, long coats over the legs, and motion blur make pose extraction ambiguous.
5. Use moderate speed first. Prove identity and alignment with a slow take, then test the fast action. Fast hands and spins are stress tests, not setup tests.
6. Match orientation and expression references. A front-only face set cannot describe a profile turn. Add authorized left/right views and relevant expressions when the tool supports them.
7. Remove audio variables when testing body control. Add speech or sound after the silent motion passes. Otherwise a sync failure can hide a good motion result.

Store raw references, consent records, licenses, model versions, and final outputs together. This is basic production hygiene and it also makes later troubleshooting possible.

Test the job, not the trailer

A motion-control comparison that means something

A single dramatic dance is a poor universal benchmark. It rewards large body motion and hides small timing errors. Use three short, authorized driving clips and score each tool only on modes it actually supports.

1. Dialogue: a 10-second chest-up performance with speech, eye movement, two expressions, and visible hands.
2. Full body: a 6-second continuous step, turn, reach, and return to a neutral pose.
3. Occlusion: a hand crossing the face and torso, followed by a profile turn. This exposes identity restoration and limb errors.
4. Separate camera test: use a static character and a defined dolly or orbit. Do not award body-performance points for a nice camera move.

Use the same character intent, crop, aspect ratio, and driving clips where product rules allow. Run multiple attempts. Score motion timing, joint stability, face identity, clothing continuity, background preservation, hand recovery, audio sync, and usable duration. Then divide all credits or GPU cost by accepted seconds.

Keep “performance transfer” and “replacement” results in separate columns. Wan Mix retaining the source kitchen and Kling generating a new room are solving different briefs, even if the dancer moves the same way.

What actually breaks

Why controlled motion still fails

The feet slide or leave the floor

Match full-body framing, keep the floor visible, use a slower take, and remove camera movement from the driving video. Contact is harder when the source hides the feet.

The face changes on a profile turn

Supply authorized profile references or an element video where supported. A front-facing still does not contain the missing side of the face.

Hands fuse with the face or torso

Shorten the occlusion, slow the gesture, improve contrast between hand and clothing, or cut away before the contact. This is a source-design problem as much as a model problem.

The replacement looks pasted into the scene

In Wan Mix, inspect the character mask, point alignment, source shadows, and color. The right motion cannot rescue a bad composite boundary.

The camera fights the performer

Remove camera motion from the driving clip and control it separately. Body, camera, and background movement competing in one reference creates ambiguous conditioning.

Long output drifts after a good start

Generate shorter edit-friendly segments. For local extension workflows, validate each segment before chaining the next instead of discovering drift at frame 400.

One person moves and the other collapses

Use separate character passes or a tool explicitly built for multi-actor control. Kling Motion Control's current flow is centered on one bound character.

Choose by motion job

The best tool for each motion-control workflow

• Single-character full-body transfer with minimal setup: Kling VIDEO 3.0 Motion Control. Match the source framing and keep the driving take clean.
• Talking character or expressive acting: Runway Act-Two. Use a character image when gesture control matters; use character video when retaining its existing scene/camera motion matters more.
• Open local character animation: Wan2.2 Animate Move. You trade setup and VRAM for inspectable preprocessing and a reproducible workflow.
• Replace a performer while retaining the source scene: Wan2.2 Animate Mix. Treat masking, alignment, lighting, and color as part of the job.
• Tracked motion path, pose sequence, or named camera move: LTX with an officially compatible control. It is the most modular option here, not the fastest upload-and-go option.
• Two actors interacting: none is a safe universal recommendation. Split the shot, composite controlled passes, or choose a product mode that explicitly supports multiple bound subjects.

The practical solo workflow is usually hybrid: rehearse the shot with a cheap or local control, trim it to one readable action, then pay for the hosted pass only after the performance and crop are locked. Motion models are remarkably good at following clear direction and remarkably expensive at discovering what you meant.