shawnricecake / draft-attentionLinks
Code for Draft Attention
☆85Updated last month
Alternatives and similar repositories for draft-attention
Users that are interested in draft-attention are comparing it to the libraries listed below
Sorting:
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆152Updated 8 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆47Updated last year
- ☆170Updated 6 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆107Updated last year
- 🤗CacheDiT: A Training-free and Easy-to-use Cache Acceleration Toolbox for Diffusion Transformers🔥☆99Updated this week
- [ICML2025] Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity☆364Updated last month
- A light-weight and high-efficient training framework for accelerating diffusion tasks.☆49Updated 10 months ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆90Updated 5 months ago
- Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation☆55Updated last week
- 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
- FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]☆28Updated last month
- The official implementation of "Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers" (arXiv …☆42Updated last month
- Implementation of SmoothCache, a project aimed at speeding-up Diffusion Transformer (DiT) based GenAI models with error-guided caching.☆44Updated 3 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆53Updated 10 months ago
- A parallelism VAE avoids OOM for high resolution image generation☆67Updated 5 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆42Updated 7 months ago
- TerDiT: Ternary Diffusion Models with Transformers☆71Updated last year
- ☆14Updated 3 months ago
- A WebUI for Side-by-Side Comparison of Media (Images/Videos) Across Multiple Folders☆24Updated 4 months ago
- Memory Efficient Training Framework for Large Video Generation Model☆25Updated last year
- The official implementation of "Neighboring Autoregressive Modeling for Efficient Visual Generation"☆51Updated 3 months ago
- Inference-only implementation of "One-Step Diffusion Distillation through Score Implicit Matching" [NIPS 2024]☆81Updated 7 months ago
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆50Updated 3 months ago
- Official implementation of paper "VMoBA: Mixture-of-Block Attention for Video Diffusion Models"☆34Updated 2 weeks ago
- (ToCa-v2) A New version of ToCa，with faster speed and better acceleration!☆37Updated 4 months ago
- A curated list of recent papers on efficient video attention for video diffusion models, including sparsification, quantization, and cach…☆28Updated this week
- ✈️ [ICCV 2025] Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints☆71Updated 3 months ago
- Radial Attention Official Implementation☆354Updated last week
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆103Updated 3 months ago
- [ICLR 2025] Official PyTorch implmentation of paper "T-Stitch: Accelerating Sampling in Pre-trained Diffusion Models with Trajectory Stit…☆103Updated last year