FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]
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Updated
Aug 2, 2026 - Python
FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]
Official repository for the "LAViG-FLOW: Latent Autoregressive Video Generation for Fluid Flow Simulations" paper.
基于 bytetriper/RAE 的个人研究工作区,记录 Representation Autoencoders 相关实验;非官方仓库。
Official implementation of PrediT (ACM MM 2026): training-free linear multistep feature forecasting for efficient diffusion transformers.
This repository implements multiple generative diffusion frameworks (EDM, Consistency Models, etc.). It also implements some architectures (U-Net, Diffusion Transformers, etc.).
Course Project for CSE676 - Fall 2025 University at Buffalo
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