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Kling 3.0 Motion Control - All Questions Answered + My Tips

I tried it via Artlist : This is how it works

Lili Marocsik

April 1, 2026

Blog

3 min

TL;DR

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You've probably seen Kling motion control all over your social media: a split screen showing someone mirrored by a fictional character copying their exact movements. Runway calls it Act Two, Kling calls it Motion Control. They're actually quite different tools: Act Two is built for facial performance and lip sync, while Kling is designed for full-body motion transfer. If you want a character to dance or copy complex movements from a reference video, Kling is what you want.

Kling just released their 3.0 model and the technology has gotten a lot easier to work with and a whole lot more fun. Key upgrades over earlier versions include better facial stability through complex movements (using what they call Element Binding), smoother hand and gesture tracking, and tighter alignment between the reference video and the output.

For this post I wanted to answer all the questions you might have when using Kling motion control for the first time. I'm testing it on Artlist, where Kling 3.0 was just added to their AI toolkit.

My inputs: an image I generated with Nano Banana 2 Pro and a video from Artlist's dashboard showing a robot making funky movements.
By the way, you can TRY IT FOR FREE via my link - this gets you one free video generation: Click here or the button below. You're welcome!

Try on Artlist

You'll notice my input image and video didn't have the same format. Which leads us straight to the first question.

FAQ 1. If the video and image don't have the same format, does it still work?

Yes. The character image is the deciding factor and the final video will take on that format.

FAQ 2. Do I have to add a prompt?

For my first generation I added a simple prompt (which in hindsight is pretty redundant): "Make the woman in the space suit do the same movements as the robot in the video." For my second generation I just typed "prompt" because Artlist won't let you leave the field empty. The result was identical. So no, you don't need to add specific instructions. The reference video and character image do the heavy lifting on their own.

FAQ 3. Can you change the audio?

No. The audio from my reference video was quite rough, kind of like space noise (you can hear a bit of it in the video). I could only switch it off or leave it in. In a fourth generation I asked it to ignore the original audio and add some loungey background music, but it didn't change a thing.

FAQ 4. Does the perspective of the two inputs have to match?

If your image is from the waist up but your reference video is full body, you'll likely run into problems. When I tried uploading my tarot lady (only visible from the torso up, seated at a table) with the dancing robot video, every single generation failed. No credits were deducted, but nothing came out either.

When I paired her with a reference video where I was also seated and only visible from the torso up, it worked perfectly.

Try on Artlist

FAQ 5. Can you influence the outfit or background through the prompt?

Kling 3.0 motion control is focused purely on transferring movement from the reference video to your static character image. It won't mix elements from both inputs. I tried prompting it to use the background from the reference video while keeping my character in the space suit, but it didn't do it. The output sticks to the image you uploaded.

My Tips:

- If the face needs to look close to your input image, use a photo where the face takes up more of the frame. The more detail Kling has to work with, the better. With a smaller face it has to fill in a lot of information and the likeness can drift.

- Get your character image exactly right before you start. Edit it in Nano Banana first if you need changes. High resolution and the right framing will save you a lot of failed generations.

- If the audio from your reference video is rough, Artlist now has its own music and audio generation built in. You can create background music, voiceovers, or SFX without ever leaving the platform.

Try on Artlist

Lili Marocsik has tested 400+ AI tools since 2023, back when most of them were more hype than help. Before building this site, she spent years as a video marketer creating YouTube Ads for brands like HelloFresh and Revolut. She started aitoolssme.com because every tool was getting five stars and glowing writeups, but nobody was telling the truth about what actually works. Beyond the site, she hosts the German AI podcast KI Plausch, organizes the AI Enthusiasts Berlin meetup group, and is an active member of Women in AI. When she's not testing tools or running events, she's looking after 30 houseplants and hunting down modern art.