vipshop / cache-ditLinks
🤗 A PyTorch-native and Flexible Inference Engine with Hybrid Cache Acceleration and Parallelism for DiTs.
☆945Updated last week
Alternatives and similar repositories for cache-dit
Users that are interested in cache-dit are comparing it to the libraries listed below
Sorting:
- https://wavespeed.ai/ Context parallel attention that accelerates DiT model inference with dynamic caching☆418Updated 7 months ago
- 📚A curated list of Awesome Diffusion Inference Papers with Codes: Sampling, Cache, Quantization, Parallelism, etc.🎉☆518Updated 3 weeks ago
- [ICML2025] SpargeAttention: A training-free sparse attention that accelerates any model inference.☆927Updated last month
- Model Compression Toolbox for Large Language Models and Diffusion Models☆751Updated 5 months ago
- [ICML2025, NeurIPS2025 Spotlight] Sparse VideoGen 1 & 2: Accelerating Video Diffusion Transformers with Sparse Attention☆627Updated this week
- A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training☆631Updated this week
- [NeurIPS 2025] Radial Attention: O(nlogn) Sparse Attention with Energy Decay for Long Video Generation☆580Updated 2 months ago
- [ICCV2025] From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers☆365Updated 5 months ago
- [CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models☆719Updated last year
- High performance inference engine for diffusion models☆103Updated 5 months ago
- ☆360Updated last week
- ☆190Updated last year
- A parallelism VAE avoids OOM for high resolution image generation☆85Updated 6 months ago
- Aiming to integrate most existing feature caching-based diffusion acceleration schemes into a unified framework.☆86Updated 3 months ago
- Combining Teacache with xDiT to Accelerate Visual Generation Models☆32Updated 9 months ago
- A sparse attention kernel supporting mix sparse patterns☆453Updated 3 weeks ago
- [ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Caching☆209Updated 10 months ago
- 📚 Collection of awesome generation acceleration resources.☆387Updated 7 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆149Updated 10 months ago
- SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention☆260Updated 3 weeks ago
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆641Updated 3 weeks ago
- End-to-end recipes for optimizing diffusion models with torchao and diffusers (inference and FP8 training).☆392Updated last month
- Light Image Video Generation Inference Framework☆1,897Updated this week
- Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model☆1,254Updated 8 months ago
- An out-of-the-box inference acceleration engine for Diffusion and DiT models☆60Updated 10 months ago
- xDiT: A Scalable Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism☆2,519Updated last week
- ☆449Updated 5 months ago
- Model compression toolkit engineered for enhanced usability, comprehensiveness, and efficiency.☆314Updated this week
- [ICLR 2025] FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality☆258Updated last year
- Code for our ICCV 2025 paper "Adaptive Caching for Faster Video Generation with Diffusion Transformers"☆165Updated last year