shawnricecake / draft-attentionLinks
Code for Draft Attention
☆98Updated 7 months ago
Alternatives and similar repositories for draft-attention
Users that are interested in draft-attention are comparing it to the libraries listed below
Sorting:
- The official implementation of "Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers" (arXiv …☆50Updated 6 months ago
- ☆188Updated 11 months ago
- SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention☆199Updated this week
- Code for our ICCV 2025 paper "Adaptive Caching for Faster Video Generation with Diffusion Transformers"☆163Updated last year
- Official implementation of paper "VMoBA: Mixture-of-Block Attention for Video Diffusion Models"☆58Updated 5 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆52Updated last year
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]☆45Updated 2 weeks ago
- This is the official repo for the paper "Accelerating Parallel Sampling of Diffusion Models" Tang et al. ICML 2024 https://openreview.net…☆16Updated last year
- To pioneer training long-context multi-modal transformer models☆64Updated 4 months ago
- A parallelism VAE avoids OOM for high resolution image generation☆84Updated 4 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆142Updated 9 months ago
- [ICML2025, NeurIPS2025 Spotlight] Sparse VideoGen 1 & 2: Accelerating Video Diffusion Transformers with Sparse Attention☆605Updated 2 weeks ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆93Updated 11 months ago
- Official implementation of DiCache: Let Diffusion Model Determine Its Own Cache☆54Updated 2 months ago
- A light-weight and high-efficient training framework for accelerating diffusion tasks.☆51Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆48Updated last year
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆108Updated 3 months ago
- A sparse attention kernel supporting mix sparse patterns☆416Updated last week
- A curated list of recent papers on efficient video attention for video diffusion models, including sparsification, quantization, and cach…☆52Updated 2 months ago
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆32Updated last year
- Fast and memory-efficient exact kmeans☆131Updated last month
- A WebUI for Side-by-Side Comparison of Media (Images/Videos) Across Multiple Folders☆24Updated 10 months ago
- 🎬 3.7× faster video generation E2E 🖼️ 1.6× faster image generation E2E ⚡ ColumnSparseAttn 9.3× vs FlashAttn‑3 💨 ColumnSparseGEMM 2.5× …☆99Updated 3 months ago
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆53Updated 9 months ago
- An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional var…☆149Updated 6 months ago
- [ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Caching☆201Updated 9 months ago
- [ICCV 2025] The official implementation of "Neighboring Autoregressive Modeling for Efficient Visual Generation"☆58Updated 8 months ago
- Aiming to integrate most existing feature caching-based diffusion acceleration schemes into a unified framework.☆82Updated 2 months ago
- Inferix: A Block-Diffusion based Next-Generation Inference Engine for World Simulation☆94Updated last week