shawnricecake / draft-attentionLinks
Code for Draft Attention
☆91Updated 5 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:
- ☆182Updated 9 months ago
- The official implementation of "Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers" (arXiv …☆46Updated 4 months ago
- Official implementation of paper "VMoBA: Mixture-of-Block Attention for Video Diffusion Models"☆47Updated 3 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆49Updated last year
- Code for our ICCV 2025 paper "Adaptive Caching for Faster Video Generation with Diffusion Transformers"☆159Updated 11 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- 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
- FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]☆43Updated last month
- Patch convolution to avoid large GPU memory usage of Conv2D☆92Updated 9 months ago
- [ICML2025, NeurIPS2025 Spotlight] Sparse VideoGen 1 & 2: Accelerating Video Diffusion Transformers with Sparse Attention☆517Updated 3 weeks ago
- Official implementation of DiCache: Let Diffusion Model Determine Its Own Cache☆48Updated 2 weeks ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆126Updated 7 months ago
- A Unified Cache Acceleration Framework for 🤗Diffusers: Qwen-Image-Lightning, Qwen-Image, HunyuanImage, Wan, FLUX, etc.☆421Updated this week
- SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention☆113Updated this week
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆106Updated 3 weeks ago
- To pioneer training long-context multi-modal transformer models☆59Updated 2 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆67Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆45Updated 11 months ago
- A curated list of recent papers on efficient video attention for video diffusion models, including sparsification, quantization, and cach…☆41Updated last month
- A parallelism VAE avoids OOM for high resolution image generation☆81Updated 2 months ago
- A light-weight and high-efficient training framework for accelerating diffusion tasks.☆49Updated last year
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆53Updated 7 months ago
- [ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Caching☆187Updated 7 months ago
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆32Updated 10 months ago
- [ICCV2025] From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers☆307Updated 2 months ago
- (ToCa-v2) A New version of ToCa,with faster speed and better acceleration!☆38Updated 7 months ago
- Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation☆72Updated 3 months ago
- An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional var…☆143Updated 4 months ago
- 🎬 3.7× faster video generation E2E 🖼️ 1.6× faster image generation E2E ⚡ ColumnSparseAttn 9.3× vs FlashAttn‑3 💨 ColumnSparseGEMM 2.5× …☆87Updated last month
- The official implementation of "Neighboring Autoregressive Modeling for Efficient Visual Generation"☆56Updated 6 months ago