Motion Transfer
Extracts motion patterns from a reference video and applies them to animate a still source image, enabling repeatable motion reuse across different subjects.
Kling
Kling 3.0 Motion Control
Kling 3.0 Motion Control is a video generation model developed by Kling that specializes in motion transfer. It takes a reference video and a source still image as inputs, then animates the still image by applying the motion patterns extracted from the reference video. This makes it distinct from standard text-to-video or image-to-video models, as the motion itself is explicitly guided by an existing video clip rather than inferred from a prompt alone. The model is well-suited for workflows where consistent, repeatable motion is required across different subjects or scenes — for example, applying a specific walking cycle, gesture, or camera movement to a new character or background image. It accepts image URLs, video URLs, text, and configuration inputs, giving users control over how the motion transfer is applied. With a context window of 1000 tokens, it is designed for focused, single-generation tasks rather than extended multi-turn interactions.
Unknown
1000 context
N/A output
Motion Transfer
Image Animation
Reference Video Input
Configurable Generation
Text Prompt Support
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
Kling
Input Context Window
The number of tokens supported by the input context window.
1000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
N/A
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Unknown
Knowledge Cut-off Date
When the model's knowledge was last updated.
Unknown
API Providers
The providers that offer this model. This is not an exhaustive list.
Kling
Modalities
Types of data this model can process.
Video
Text
Image
What is Kling 3.0 Motion Control
A fuller summary of positioning, capabilities, and source-specific details for Kling 3.0 Motion Control.
Kling 3.0 Motion Control is a video generation model developed by Kling that specializes in motion transfer. It takes a reference video and a source still image as inputs, then animates the still image by applying the motion patterns extracted from the reference video. This makes it distinct from standard text-to-video or image-to-video models, as the motion itself is explicitly guided by an existing video clip rather than inferred from a prompt alone.
The model is well-suited for workflows where consistent, repeatable motion is required across different subjects or scenes — for example, applying a specific walking cycle, gesture, or camera movement to a new character or background image. It accepts image URLs, video URLs, text, and configuration inputs, giving users control over how the motion transfer is applied. With a context window of 1000 tokens, it is designed for focused, single-generation tasks rather than extended multi-turn interactions.
Capabilities
What Kling 3.0 Motion Control supports
Image Animation
Takes a static source image as input and generates a video output by driving it with motion derived from the reference clip.
Reference Video Input
Accepts a video URL as the motion reference, allowing any existing video clip to serve as the motion guide for generation.
Configurable Generation
Supports select and toggleGroup inputs so users can adjust generation parameters such as aspect ratio or duration before rendering.
Text Prompt Support
Accepts an optional text input to provide additional context or stylistic guidance alongside the image and video inputs.
Pricing for Kling 3.0 Motion Control
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
N/A
Per million tokens
Output tokens
N/A
Per million tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
Kling
Configuration & Parameters
The configurable options currently documented for this model.
Character Orientation
SelectNegative Prompt
TextDescription of what to exclude from the video.
Supported Request Parameters
Parameters currently listed by OpenRouter or the local catalog for this model.
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Community discussion
What people think about Kling 3.0 Motion Control
Kling 3.0 Motion Control discussions are most active in r/Freepik_AI, r/generativeAI, r/KlingAI_Community. Top Reddit threads cluster around benchmark and model-comparison threads.
The strongest match in this snapshot has 73 upvotes and 20 comments.
I’ve been messing around with Kling 3.0 Motion Control all day, and the physics are finally starting to feel "heavy."
Compared to Kling 2.6 motion control , the 1:1 motion transfer is on another level. In this test, Kling 3.0 Motion Control caught every subtle head tilt and shoulder shrug perfectly. It doesn't have that weird "sliding on ice" look anymore—the feet actually feel anchored to the floor, and the timing stays consistent with the original footage even when you swap the subject.
# How to use Kling 3.0 Motion Control :
* Step 1: Upload your motion reference video to the Kling 3.0 Motion Control panel.
* Step 2: Upload the image of the character you want to animate.
* Step 3: Click Generate and let the model handle the skeletal anchoring.
It’s impressive how it recreates motion while allowing for a completely different subject. For anyone just testing the waters, the playground is fine.
But if you're like me and need to batch-generate a bunch of these, the UI credits get expensive way too fast. I've been using the [Kling 3.0 Motion Control API](https://kie.ai/kling-3-motion-control) on [Kie.ai](http://Kie.ai) instead—it's noticeably cheaper for high-volume work and keeps me from burning through my main account balance.
Anyone else seeing this level of consistency? I'm curious if you guys think this finally makes traditional indie mocap obsolete for short-form content.
Just added **Kling 3.0 Motion Control** support to my **ComfyUI-Kie-API** node pack.
This one is under **Experimental** for now, but it should be working.
It lets you take a **reference image** plus a **driving video**, and Kling tries to transfer the motion from the video onto the character while keeping the facial identity, expression, and overall look of the source image intact.
always important to understand pricing, Kie AI charges by the second of video and what resolution its at. Current prices stand at:
\-12 credits/s ($0.06) for 720p
\-20 credits/s ($0.10) for 1080p
flat rate, no surprises, and 15% cheaper than the official price, its why I usually use the Kie system since its cheaper than most.
A few of the key inputs are:
* **Reference image**
* **Reference video**
* **Prompt**
* **Character orientation**
* `image` = follow the orientation of the person in the image
* `video` = follow the orientation of the person in the driving video
* **Mode**
* `720p`
* `1080p`
Repo:
**ComfyUI-Kie-API**
[https://github.com/gateway/ComfyUI-Kie-API](https://github.com/gateway/ComfyUI-Kie-API)
It should also be searchable in **ComfyUI Manager**. Let me know if you want any of the other Kie AI models added.
I’ll be sharing some examples soon. Still early, but I wanted to get it in so people can start playing with it.
And yeah, if the repo helps you out, a **GitHub star** always helps.
Kling 3.0 Motion Control just landed on Freepik
Instead of describing movement with prompts, you can **use a real video as the motion reference** and transfer the performance directly to an AI character
What it enables:
* Use **any video as a motion reference**
* Facial expressions and gestures stay consistent across the clip
* **Up to 30 seconds** of continuous motion
* Works for realistic or stylized characters
This makes it much easier to direct performances instead of guessing movement through prompts
You record the performance → the model reproduces the gestures, timing, and expressions on your generated character
For a limited time, **Premium+ and Pro users get unlimited generations (720p) until March 16.**
Try it [**here**](https://www.freepik.com/pikaso/ai-video-generator?modelId=kling-motion-control-30)
Good day everyone, looking for a best alternative to Kling 3.0 motion control, (Paid /Free). I'm trying to generate long form of content, of 5-6 minute, however using Higgsfield Kling is costing a bit more credits, my main work is from Kling motion control 3.0 , so any alternative is deeply appreciated and welcomed.
Thanks to everyone in advance for dropping the information.
Other than the funny looking hand gesture at the end of the video, this turned out quite well in my opinion.
FAQ
Common questions about Kling 3.0 Motion Control
What inputs does Kling 3.0 Motion Control require?
The model requires at minimum a source image URL and a reference video URL. It also accepts text prompts and configuration options via select and toggleGroup inputs to adjust generation behavior.
What is the context window for this model?
Kling 3.0 Motion Control has a context window of 1000 tokens, which is sized for single-generation tasks rather than extended conversational or multi-turn use.
What makes this model different from a standard image-to-video model?
Unlike standard image-to-video models that infer motion from a text prompt or the image itself, Kling 3.0 Motion Control uses an explicit reference video to guide the motion, giving users direct control over how the output moves.
What types of motion can be transferred?
Any motion present in the reference video clip can be transferred — including character movements, gestures, or camera motions — and applied to the provided still source image.
Is a training cutoff date available for this model?
No training date is listed in the available metadata for Kling 3.0 Motion Control.
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