svg-project / Sparse-VideoGenLinks
[ICML2025] Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity
☆292Updated last week
Alternatives and similar repositories for Sparse-VideoGen
Users that are interested in Sparse-VideoGen are comparing it to the libraries listed below
Sorting:
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆146Updated 7 months ago
- ☆167Updated 4 months ago
- Accelerating Diffusion Transformers with Token-wise Feature Caching☆152Updated 2 months ago
- 📚 Collection of awesome generation acceleration resources.☆257Updated last month
- An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional var…☆128Updated 3 months ago
- [ICLR 2025] FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality☆222Updated 5 months ago
- From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers☆164Updated 2 weeks ago
- A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training☆376Updated this week
- https://wavespeed.ai/ Context parallel attention that accelerates DiT model inference with dynamic caching☆290Updated 3 weeks ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆98Updated 2 months ago
- ☆246Updated this week
- Official PyTorch and Diffusers Implementation of "LinFusion: 1 GPU, 1 Minute, 16K Image"☆300Updated 5 months ago
- [NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising☆203Updated 3 months ago
- [ICLR 2025] Autoregressive Video Generation without Vector Quantization☆510Updated 2 weeks ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆104Updated 10 months ago
- [ICLR 2025] OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation☆298Updated this week
- Official PyTorch implementation of paper "CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up".☆206Updated last month
- [Few-Step Student Surpasses Teacher Diffusion] Learning Few-Step Diffusion Models by Trajectory Distribution Matching☆40Updated 2 months ago
- (CVPR 2025) From Slow Bidirectional to Fast Autoregressive Video Diffusion Models☆474Updated 2 weeks ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆46Updated 10 months ago
- SpargeAttention: A training-free sparse attention that can accelerate any model inference.☆579Updated last week
- [CVPR 2025] Official code of "DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Long…☆271Updated 2 months ago
- SpeeD: A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training☆178Updated 4 months ago
- A parallelism VAE avoids OOM for high resolution image generation☆64Updated 4 months ago
- Official Implementation: Training-Free Efficient Video Generation via Dynamic Token Carving☆183Updated last week
- (ToCa-v2) A New version of ToCa，with faster speed and better acceleration!☆37Updated 2 months ago
- Official Implementation of Video-T1: Test-Time Scaling for Video Generation☆263Updated 2 months ago
- [CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models☆684Updated 6 months ago
- Pytorch implementation for the paper titled "SimpleAR: Pushing the Frontier of Autoregressive Visual Generation"☆358Updated last month
- This is a repo to track the latest autoregressive visual generation papers.☆341Updated last week