Show HN: Precise AI Motion Control for Kling 3.0
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/