Ultimate Kling 2.6 Motion Control Tutorial 2026: How to Animate Any Character

Cling 2. 6 motion control changes everything. In this video I will show you how to transfer any movement onto any image. Complex choreography, hand gestures, facial expressions, even lip sync. And I will show you the one critical mistake that ruins 90% of animations. Let go. Oh, and that character you just saw, — that was me. My motion transferred onto a completely different person using Clank 2. 6. That's what we're diving into today. Here's a cyberpunk character doing an energetic dance. Here's a custom robot character performing presentation gestures with precise hand tracking. Here's a woman doing a beach workout with living environmental motion. Here's a catwoman speaking directly to the camera with full facial expression transfer and lip sync. All of these started as static images, and you will know how to create results like this yourself. Motion control is Cling's

technology for extracting movement from a reference video and applying it to a static image. Think of it as motion capture, but instead of a sensor suit, you use any video as the reference. The technology analyzes body dynamics, hand gestures, facial expressions, even subtle details like hair movement and clothing physics. You can generate clips up to 30 seconds long. Why is this a breakthrough? Previous tools could handle basic animations. A simple wave, a head turn, but complex movements broke them. Martial arts combos, dance choreography, instrument playing with finger precision, those created artifacts, frozen backgrounds, morphing issues, cling 2. 6 motion control handles all of it. Full body dynamics with camera tracking, hand gesture precision down to individual fingers, facial expressions that match the reference video frame by frame. And it does this while maintaining the style of your static image. Illustrated character, photorealistic portrait, 3D render, whatever you start with, that style stays consistent. The key insight is motion reference extraction. Cling doesn't just overlay movement. It understands the structure of the motion and intelligently applies it to your character, accounting for differences in body type, proportions, and visual style. Let me show you where this lives

in the Cling interface. I'm on the official Clling website. You'll find motion control in the video generation section. Here's what the interface looks like. At the top, you have two upload fields. The first is for your reference video. This is where the motion comes from. The second is for your static image. This is what gets animated. Below that, you see the character orientation options. This is critical. You can choose either character orientation matches video or character orientation matches image. The first option makes your character follow the exact positioning and framing from the reference video. The second keeps your character's original position from the static image. For most motion transfer use cases, you want matches video. Next is the prompt field. This is optional. You can use it to add detail like environmental movement or specific visual enhancements, but for straightforward motion transfer, you can leave it empty. Then you have your generation settings. You can choose how many variations to generate up to four at once. And there's an audio toggle if your reference video has sound you want to preserve. Finally, quality and resolution settings, standard or high quality. Let me run one quick example so you see the full workflow. I'll upload a reference video where I'm waving simple motion and I'll upload a static portrait of a different character. I'll set character orientation to match his video. Leave the prompt empty. set it to generate one variation and hit generate. Processing takes about 2 minutes and here's the result. The portrait is now waving with my exact motion from the reference video. Clean transfer, no artifacts, natural movement. That's the basic workflow, but there's a lot more to it. And this is where most people make mistakes. Everything from here will be demonstrated in AI Master Pro. This is the platform I built for myself, and it combines all cuttingedge AI models in one place. Here's why I'm using it. First, I don't need to switch between tabs and services. Cling, Sora, VO, Nano, Banana, all the top models are in one interface. Second, all generations are watermark free. Third, because we work through API, you get better quality, extra features, and more control. If you want access, links in the description. Now, let's dive into real use cases and show you what Cling Motion Control can actually do. First

use case, dance movement transfer. This is where motion control really shines. Complex choreography with spinning arm movements, full body dynamics. I'm starting with a motion reference video. This is a short clip of energetic dance moves, spins, arm extensions, body weight shifts, about 8 seconds of motion. My static image is a cyberpunk character. Full body visible, standing pose, plenty of negative space around the figure. This composition detail matters. I'll explain why in a minute. In AI Master Pro, I upload both files. Reference video in the first field, static image in the second. Match video toggle is on. No prompt for now. Generate. Here's the result. The Cyberpunk character is now performing the exact dance routine from the reference video. The motion tracking is accurate. Arms extend at the right moments. Body rotates with proper weight distribution. Even the hair and clothing react to the movement. Key lesson here, composition matching. Notice how my static image shows the full body with space around it. The reference video has the same framing. Full body visible, room to move. If I had used a tight crop on the character or positioned them differently in the frame, the motion transfer would have failed. Body parts would get cut off. The animation would feel cramped. This is the number one mistake people make. Image and video compositions must match. If your reference video shows a full body shot, your static image needs to show full body, too. If the reference is a close-up, use a close-up image. Alignment matters. All right, quick story. I recently needed to create some product content. And I started looking into getting professional photos with models. The problem, hired a photographer, booking talent, renting a studio, easily $3,000 for one shoot day. And if you need multiple looks or seasonal updates, that cost multiplies fast. So, I found this tool called Chimera. And honestly, it solved the entire problem in like 20 minutes. Here's what it does. You take your flat product photos, just the clothes laid out in a white background. And Chimera turns them into full catalog shots with professional models. No photo shoot, no studio rental, no scheduling nightmare. Let me show you the workflow. You go to the homepage, click flatlay to catalog, then create new job. Now you pick a model from the roster. They've got a diverse range so you can match your brand's aesthetic. Then you choose multiple poses, front, back, close-ups, whatever you need for your catalog. Next, you select the mood, editorial, casual, high fashion, and pick a background. The key here is that all these settings apply to every product in the job. You're setting up once, and it process everything in bulk. Now, you upload your flat product images, apparel, accessories, whatever. You've got multiple products in one job. Hit review credits, then run the job. Chimera processes everything and generates your model shots. When it's done, click upscale all to boost resolution, add skin realism for that final professional polish. And that's it. Full catalog ready images with models, consistent lighting, your brand aesthetic, all from flat photos. I saved thousands of dollars and got everything done in a fraction of the time. If you're running an e-commerce store, creating content, we're handling product work. This is a lifesaver. Click the link in the description below to get 50% off your first month with camera. All right, back to motion control. Let's create a character and animated. Second

use case, presentation gestures. This tests hand gesture precision and upper body expression. My reference video shows me explaining something with hand gestures, pointing, open palm gestures, counting on fingers, emphasis movements. This is subtle compared to the dance example, but it requires accurate hand tracking and natural upper body coordination. Now, for the static image, instead of using something from the internet, let me show you how we can create any character we want directly on AI Master Pro and turn it into a persistent character for animation. I'm heading to the image generation section and selecting Nano Banana Pro. This model outputs in 4K and gives us incredible detail. For the prompt, I'll create a futuristic robot character. Generate. And here's our robot. Perfect framing. Now, to turn this into a reusable character, I click the save as AI character button. The character creation window opens. Here, I give the character a name. Let's call it Nexus 7. I can also add a description if I want. There's an option to assign a voice as well. We'll cover that feature later in this video. Here's the key part. I can set a price for this character. If other users on AI Master Pro want to use Nexus 7 in their generations, they pay me in credits. I'll set it to 50 credits per use. Click create character. Done. Now, there's actually another way to create characters that's even more convenient. Let me show you the AI character builder. I'll click that same create AI character button in the top right corner. And this time it opens the AI character builder. This is a stepbystep interface where you can build a character by selecting specific attributes. First, you choose the character type. Human, animal, robot, fantasy creature, mythological creature, or alien. Below that, you select a style. Anime, 3D render, pixel art, realistic, cartoon, painterly, or chibi. Let's create an alien character with a realistic style. Click next. Now, we're in the appearance section. You choose gender, male, female, or non-binary. Then age. Let's make this one a child. Next. Skin color. I'll go with purple. Hair color yellow. For the hairstyle, I'm selecting from the available options. Let's give them a mohawk. And for eye color, let's go with green. Click next. Now we choose clothing style. I'll select sci-fi. Then emotion. Let's go with happy. Accessories. I'll add glasses. And for the background, let's choose space. Next step, here's where it gets interesting. The system automatically generates a prompt. based on all the choices we just made. You can see the full description here. If you want to add more details, you can type them in. This character will be generated using Nano Banana Pro. And you can see the credit cost right here. Click generate character. And there it is, our custom alien character built step by step with complete control over every detail. Now, we just need to save it. Give it a name. Let's call this one Zix the Explorer. Set a price and credits for other users who want to use this character. I'll set it to 75 credits and click create character. Done. Now Zex is in my character library ready to use in any generation. All right. Now that we know how to create characters, let's get back to motion control. But before we add our character image, remember what we discussed earlier in this video. Your reference image needs to match the framing and composition of your reference video. The pose, the body position, everything needs to align. So, let's take our Nexus 7 character and prepare it properly for this motion control generation. I'll take a frame from my reference video where I'm doing presentation gestures. Hands raised, fingers visible. Now, I'll generate a new image of Nexus 7 in that same pose. Arms raised, hands visible with fingers clearly shown, matching the composition of that video frame. Generate. Perfect. Now, we have Nexus 7 in the right pose with the right framing. Now, I head to Cling 2. 6 Six motion control. My reference video is already uploaded. For the image, instead of uploading a file, I upload this new image of Nexus 7 with raised hands that we just generated. Character orientation set to match his video. No additional prompt. Generate. Here's the result. Nexus 7 is now performing my exact hand gestures and upper body movements. A futuristic robot mimicking human presentation gestures. The motion tracking is solid. Upper body coordination matches the reference perfectly. Hand movements flow naturally. Now, you might notice the fingers aren't 100% perfect in every frame. That's common with complex hand gestures. But here's the thing. If you're not satisfied with a particular detail, just regenerate. One or two additional generations usually nail it. The core motion transfer is there, and that's what matters most. Takeaway: You're not limited to photos or stock images. Create any character you imagine on AA Master Pro. Save it as a persistent character and reuse it across multiple projects with any motion you capture. All right, you just saw four complete workflows and all of this happened in AMS or Pro. There's a lot more to this platform than what you've seen so far. Clang Motion Control is incredible, but to work with AI professionally, you need access to all the best models in one place, and you need a way to actually earn money from what you create. That's exactly what AMS or Pro gives you. First, all the top AI models for images and video clar nanobano pro and 4K GPT image. Everything in one platform. No juggling subscriptions, no switching between tools. You create, you generate, you download. No watermarks. Simple. Second, and this is huge, our built-in creator economy lets you earn from everything you generate. Here's how it works. You create content, images, videos, animated characters like that robot we just made. You upload it to your profile. Other users can see it. If they want to use your content, they buy it with tokens and you get 80% off that purchase. 200 tokens equals $1. When you reach 40,000 tokens, that's $200. You can withdraw real money. And custom characters. You just saw how I created Nexus 7 and turned it into persistent character. You can do this with any character you imagine. Register it on the platform and you can use that character in all your videos and images completely consistent across every generation. You can also license that character, set a price in tokens, and if other users want to use your character in their generations, they pay you every time. So, you're creating content, you're creating characters, and you're earning from both. It's not just practice, it's a real business model built into the platform. On top of that, you get the full library of content, over 30 hours, the prompt lab with 300 plus professional prompts, AI master chat that helps you craft better prompts and answer questions in real time. Everything you need to master AI and monetize your skills. And with Pro, you get 2,000 tokens every month to use for your generations. And right now, 30% off the annual plan. The link is in the description below. Start with free generation. Explore the platform. Test the creator economy and when you're ready for the full experience, upgrade to pro. All right, let's continue. Next

use case, handling environmental motion and bringing your backgrounds to life. Third use case, beach workout. This is where we encounter the frozen background problem and learn how to fix it. Reference video, me doing light exercise movements, simple stretches, arm raises, body rotations, basic workout warm-up routine, about 10 seconds. Static image. A woman in athletic wear standing on a beach. Full body visible. Relaxed pose. Ocean and palm trees in the background. Beautiful coastal scenery. First generation. Character orientation set to matches video. No prompt. Let's see what happens. The result. Motion transfer looks excellent. The woman in athletic wear is performing the exercise movements perfectly. Body coordination is natural. Every stretch and arm movement flows smoothly. Motion control worked flawlessly. And here's something interesting. The ocean on the left side already has waves rolling in. Cling automatically animated the water for us. The background isn't completely frozen. We've got natural wave motion, which is great. However, we don't see any people in the background. Beyond the ocean waves, nothing else is animated. The beach feels a bit empty, like there's room for more life in the scene. Let's enhance this. I'll add a simple prompt to bring more activity to the background. Prompt people walking on the beach in the background. regenerate with this added detail. Now look at the new result. The exercise movements are still perfectly transferred. The ocean waves are still rolling naturally and now we have people visible in the distance walking along the beach. This makes the animation feel cohesive. Everything moves together. It looks like actual footage of someone exercising on the beach, not a character composited onto a still image. Advanced tip. When your reference video has any kind of action, always add environmental motion to your prompt. Even subtle details like water flowing, leaves rustling, or clouds drifting make a huge difference in believability and transform the result from a composite into realistic video footage.

Fourth use case, facial expression transfer, lip sync, and voice change. This is where Clank's precision combined with AI Master Pro's voice tools really shines. For the reference video, I'm recording myself holding my phone like a selfie on the front-facing camera. I'm speaking directly to the camera, saying a simple phrase. For the static image, I'll use Catwoman from DC. The iconic character with her sleek mask and feline features, friendly expression, and here's the critical part. She's positioned as if she's holding a phone on the frontacing camera, too. Same angle, same framing. This matching perspective is crucial for naturallooking results. Now, since my reference video has my male voice, but we want this catwoman character to speak, we need to change the voice. Let me show you how to create a custom voice on AI Master Pro. In the top left corner, you'll see options for image, video, avatar, or voice. Click the microphone icon for voice. You'll see several options: text to speech, voice design, my voices, voice changer, and clone voice. We're selecting voice design. Here you can describe the voice you want with a simple prompt. I'll type friendly female voice with a warm, playful tone and a slight British accent. Click generate previews. The system generates three variations of this voice. I can click each one and listen to test recordings. Let me preview these. This second one sounds perfect. — Hey, what's up, folks? Are you ready to see some AI magic? Hm. friendly, warm, just what we need for the Catwoman character. I'll save this voice and name it cat lady voice. Now, back to Clang 2. 6 motion control. My reference video is already uploaded, me speaking that phrase on the front camera. I upload the Catwoman image, making sure the angle matches my selfie position. Here's the key. I need to enable voice change. There's a toggle for that. I enable it and select the voice we just created. Cat lady voice. Character orientation is set to matches video. No additional prompt needed. Generate. Processing takes a couple of minutes. — And here's the first result. The Catwoman character is now moving with my facial expressions and lip movements, but the voice is still mine. We need one more step. I open the generate video. There's a button for voice replacement. Click that. Select cat lady voice again and wait for processing. And here's the final result. H the catwoman is speaking with perfect lip sync. Her mouth movements match the new female voice. Facial expressions are transferred from my reference. Head tilts, eyebrow raises, all the micro expressions are there. This is the power of combining motion control with voice transformations. You can transfer anyone's performance onto any character, then match the voice to that character's personality. The result looks and sounds cohesive like the character is actually speaking. Why does this matter? Because you're not limited by your own voice or appearance. Create any character, give them any voice, animate them with your performance. It's like being a director, actor, and voice artist all at once. Let's consolidate the mistakes we've

seen and add a few more. Mistake number one, image, video, composition mismatch. If your reference video shows a full body and your static image is cropped tight, the character's body will get cut off during animation. Solution: match the framing full body to full body, close-up to close-up. Mistake number two, forgetting the match video toggle. If this is off, Cling interprets your prompt creatively instead of copying the reference motion exactly. For motion transfer, you almost always want match video enabled. Mistake number three, ignoring background freeze. dynamic character on a frozen background breaks immersion. Solution: Add environmental motion to your prompt. Even subtle movement helps. Mistake number four, over complicated prompts when not needed. If your reference video already has the motion you want, you don't need a long prompt. Let Cling focus on transferring that motion accurately. Add prompts only for environmental details or stylistic enhancements. Mistake number five, poor lighting. Match between image and video. If your reference video is brightly lit and your static image is in shadow, the final result can look inconsistent. Try to match lighting conditions or use prompts to adjust. Now, let's level up

with advanced techniques and workflow optimization. Tip one, create your own motion reference library. You don't need to find the perfect reference video online. Film your own. Use your phone. Act out the motion you want. Exaggerate movements slightly because motion transfer can sometimes soften them. Save these clips and organize folders by category. Dance, gestures, sports, expressions. This becomes your reusable motion library. Tip two, frame size adjustment strategy. If you're animating a character and the full body motion feels cramped, make the character smaller in your static image. Add more negative space around them. This gives the motion room to breathe and reduces cropping issues. Tip three, when to use prompts versus when to skip them. Use prompts when you need environmental motion, lighting adjustments, or stylistic enhancements. Skip prompts when you want pure motion transfer from reference to image. Adding too many prompt details can sometimes confuse the model and dilute motion accuracy. Tip four, layer in technique. Start with motion first. Generate your animation with match video on and minimal prompt. If you like the motion but want visual refinements, note the seed number or save the generation. Then run variations with added prompt details. This way you preserve the motion quality while iterating on aesthetics. The key to mastering clang motion control is experimentation. Try different character styles. Test various motion types. Push the boundaries with unusual combinations. Robots doing human dances, realistic portraits, performing exaggerated gestures, illustrated characters in photorealistic environments. The more you experiment, the better you'll understand what works and what doesn't. This is what's

possible when you understand composition matching. Use the right settings. Leverage A Master's character creation and voice tools and avoid the common mistakes. If you want access to Clang plus all the other cut and edge models in one place, check out AM Pro. No watermarks, better quality, and you can earn on your content through our built-in creator economy. If this tutorial helped, hit the like button, subscribe if you want more AI tools and workflows, and I'll see you in the next one.