Like many of you, I've been experimenting with generative video, but the "camera lottery" was driving me crazy. Even with the best models, getting a consistent 360-degree orbit or a smooth crane shot felt more like luck than engineering.
I built AI Motion Control to bring more determinism to the workflow. It's a specialized layer for AI motion control, specifically optimized for the Kling 3.0 architecture.
Why this matters: The latest Kling AI motion control update (v3.0) is incredible at preserving spatial consistency, but the prompting interface is still a black box. My tool allows you to map specific camera trajectories—pans, tilts, and zooms—with much higher fidelity than raw text prompts.
What’s under the hood:
Path Mapping: Translation of geometric camera paths into model-specific motion vectors.
Kling 3.0 Optimization: Leveraging the 180% increase in motion stability seen in the latest model version.
Batch Testing: Compare different ai motion control settings side-by-side to find the sweet spot for your specific scene.
The goal is to move AI video from "randomly cool" to "production-ready."
I’ve opened up some free usage tiers for the community to stress-test the motion interpolation. I’d love to get your feedback on the latency and the precision of the output.
website:https://ai-motioncontrol.com/
No comments yet.
