Kling Motion Control Just Got Crazy Good
An explicit Motion Control watch item focused on how reference movement transfers into a generated character clip.
Use Kling Motion Control on FreeGPT2 to transfer movement from a reference video onto a still image, making it more useful for dance, pose, and character-led motion than prompt-only video generation.
Ready to create videos
Generate in this workspace and the latest result will appear here with the supporting content below.
Kling Motion Control is built around Kling Motion Control. You start with one character image and one reference motion video, then use Kling's motion-transfer workflow to push that visible movement onto the uploaded character. This is not a general prompt-led generator. It is a direct way to borrow motion timing, pose rhythm, and movement path from a source clip while still controlling Standard or Pro mode and whether the original sound should stay.
Kling Motion Control preview 1
This tool is not a generic animation wrapper. It is specifically built around Kling Motion Control for reference-driven motion transfer.
Upload the character image you want to animate, add one reference video, and drive the output from that motion source instead of rebuilding the scene from text.
When action timing, pose rhythm, or body motion is easier to show than to explain, Kling Motion Control is a better fit than a prompt-only workflow.
Longer walkthroughs that are more useful when you want to evaluate Kling Motion Control workflows for motion transfer, reference video control, and driving an image from visible movement.
An explicit Motion Control watch item focused on how reference movement transfers into a generated character clip.
A direct Kling 3.0 Motion Control demo that is useful for judging dance and performance-transfer behavior.
A broader Kling 3.0 guide to pair with the explicit Motion Control demos when you need mode and workflow context.
A practical Kling video workflow reference for seeing how creators combine source assets, prompts, and video model passes.
An official Kling reference for nearby image-led animation and extension behavior that helps frame Motion Control as a more reference-driven path.
Short public references for Kling Motion Control, creator motion-transfer results, dance control, and the kinds of reference-video examples people are actually sharing.
Start from the still image whose subject, styling, and framing you want to keep in the final clip. This workflow currently expects one source image.
Use a clip where pose changes, body movement, and timing are easy to read. If the motion source is chaotic, the Kling Motion Control result is harder to evaluate.
Select Standard or Pro before generation, and decide whether the output should keep the original sound from the motion reference video.
Check whether the uploaded character stays recognizable while Kling follows the motion path you expected. Pay extra attention to limbs, fast turns, and tighter framing.
Best used when the character already exists as a still image and the real task is to borrow motion from another clip through Kling Motion Control instead of choreographing the action from text.
Map dance beats, pose changes, or full-body timing from a reference clip onto a character image and use Kling Motion Control to check whether the movement reads before you commit further.
Test how a hero still, mascot, or stylized character might move by driving it with an existing performance clip rather than inventing the action from scratch.
Use one strong character image plus a short action reference when you want to prototype recognizable movement patterns for social or creator-facing content with Kling Motion Control.
Each generation with Kling Motion Control consumes credits inside FreeGPT2.
Processing time varies with queue state, selected Standard or Pro mode, source video duration, and reference complexity.
Use the live cost shown in the workbench as the current credit reference for Kling Motion Control. Longer clips and Pro mode can increase total cost.
You need one character image and one reference video. Kling Motion Control uses the image to define who appears in the output and the reference clip to define how that subject moves.
Start with free credits on sign-up. Upgrade only when recurring production, private generation, or higher volume starts to matter.
For lighter recurring creation.
Switch fixed steps to match your monthly output.
3,000 credits/month
Up to 12,000 images
Up to 996 videos
Higher monthly capacity
No watermark
Private generation
Faster speed
Image and video workflows
Try the core flow before you upgrade.