CV-VAE
CV-VAE facilitates the integration of latent generative video models with pretrained models such as SD 2.1 and SVD. Providing comprehensive training and inference resources, it simplifies video reconstruction processes. Compatible with Python 3.8+ and PyTorch 1.13.0+, CV-VAE leverages NVIDIA GPU and CUDA for enhanced performance. Recent developments include its acceptance at NeurIPS 2024 and the availability of new resources for CV-VAE-SD3, further optimizing video processing by aligning with existing architectures.
