Higgsfield: AI Video Motion Control with Kling 3.0

Demo summary
The video shows the process of using a personal video recording as a motion capture input to drive the movements of an AI-generated character using the Kling 3.0 model inside Higgsfield.
Step-by-step
- Select the Kling 3.0 motion control model
- Upload a personal video recording to be used as the motion capture input
- Add a photo of the character you want to transform into
- Run the generation to apply the motion from the video to the character image
Watch out for
- Requires 57 credits for the generation process
Tips
- Use this feature to ensure hands operate and work normally in AI video
- Use a simple video of yourself to drive the movement of an entirely different character
Highlights
“That is crazy. So, all of these like AI”
All demos from “HIGGSFIELD AI: A Beginner’s Guide to Mind-Blowing AI Video!”
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19:030:52AI Video Motion Control with Kling 3.0CurrentThe video shows the process of using a personal video recording as a motion capture input to drive the movements of an AI-generated character using the Kling 3.0 model inside Higgsfield.Higgsfield· Video to Video- Watch “HIGGSFIELD AI: A Beginner’s Guide to Mind-Blowing AI Video!” →
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0:210:16Accessing Kling Motion Control on HiggsfieldThe creator shows the Higgsfield interface, navigating to the video tab and explaining how to upload a source motion video and a target character image.Atomic Gains
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Higgsfield