This repository implements the CVPR 2025 Oral paper on motion-controllable video diffusion models using real-time warped noise. The approach allows precise control over motion patterns in generated videos by dynamically warping the noise latent space during the diffusion process. It provides pretrained models, inference code, and a Hugging Face integration for researchers working on controllable video generation.