Cache-DiT

Cache-DiT is a PyTorch-native inference engine designed for Diffusion Transformers (DiTs). It provides hybrid cache acceleration (DBCache, TaylorSeer, SCM), comprehensive parallelism optimizations (Context, Tensor, 2D/3D), and low-bit quantization (FP8, INT8, INT4). The library integrates seamlessly with Hugging Face Diffusers, SGLang Diffusion, vLLM-Omni, and ComfyUI to deliver significant speedups for image and video generation. Currently at version 1.3.5, it maintains an active release cadence with frequent updates and hotfixes.