mit-han-lab / radial-attentionLinks
Radial Attention Official Implementation
☆119Updated this week
Alternatives and similar repositories for radial-attention
Users that are interested in radial-attention are comparing it to the libraries listed below
Sorting:
- [ICML2025] Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity☆344Updated 2 weeks ago
- ☆167Updated 5 months ago
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆150Updated 7 months ago
- [ICLR 2025] FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality☆231Updated 6 months ago
- From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers☆179Updated last month
- Official Implementation: Training-Free Efficient Video Generation via Dynamic Token Carving☆203Updated 2 weeks ago
- An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional var…☆130Updated 4 months ago
- Accelerating Diffusion Transformers with Token-wise Feature Caching☆159Updated 3 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆46Updated 11 months ago
- [NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising☆202Updated 4 months ago
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆31Updated 6 months ago
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆49Updated 3 months ago
- Code for Draft Attention☆72Updated last month
- This is the official repo for the paper "Accelerating Parallel Sampling of Diffusion Models" Tang et al. ICML 2024 https://openreview.net…☆14Updated 11 months ago
- The official implementation of "Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers" (arXiv …☆38Updated 2 weeks ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆105Updated 11 months ago
- A light-weight and high-efficient training framework for accelerating diffusion tasks.☆48Updated 9 months ago
- (ToCa-v2) A New version of ToCa,with faster speed and better acceleration!☆37Updated 3 months ago
- A parallelism VAE avoids OOM for high resolution image generation☆64Updated 5 months ago
- Official implementation of our paper: "Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing" …☆62Updated last month
- The official code for "MagCache: Fast Video Generation with Magnitude-Aware Cache"☆117Updated this week
- A WebUI for Side-by-Side Comparison of Media (Images/Videos) Across Multiple Folders☆24Updated 4 months ago
- The official implementation of "Neighboring Autoregressive Modeling for Efficient Visual Generation"☆51Updated 2 months ago
- FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]☆24Updated 3 weeks ago
- Implementation of SmoothCache, a project aimed at speeding-up Diffusion Transformer (DiT) based GenAI models with error-guided caching.☆44Updated 3 months ago
- The official implementation of Distribution Backtracking Distillation for One-step Diffusion Models☆31Updated 5 months ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆88Updated 5 months ago
- faster parallel inference of mochi-1 video generation model☆121Updated 4 months ago
- Combining Teacache with xDiT to Accelerate Visual Generation Models☆25Updated 2 months ago
- 🎬 3.7× faster video generation E2E 🖼️ 1.6× faster image generation E2E ⚡ ColumnSparseAttn 9.3× vs FlashAttn‑3 💨 ColumnSparseGEMM 2.5× …☆74Updated last week