This repository provides efficient vision foundation models including Deep Compression Autoencoders (DC-AE) for high-resolution diffusion models and vision transformer architectures. It supports tasks such as image generation on ImageNet at 512x512 resolution and segmentation. The project includes implementations of models like SANA (text-to-image) and USiT for state-of-the-art generation quality.