Alternatives and similar repositories for cache-dit

Users that are interested in cache-dit are comparing it to the libraries listed below

• thu-nics / DiTFastAttn
  ☆179Updated 8 months ago
• xdit-project / DistVAE
  A parallelism VAE avoids OOM for high resolution image generation
  ☆81Updated 2 months ago
• xlite-dev / Awesome-DiT-Inference
  📚A curated list of Awesome Diffusion Inference Papers with Codes: Sampling, Cache, Quantization, Parallelism, etc.🎉
  ☆408Updated last month
• chengzeyi / ParaAttention
  https://wavespeed.ai/ Context parallel attention that accelerates DiT model inference with dynamic caching
  ☆381Updated 3 months ago
• SandAI-org / MagiAttention
  A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training
  ☆530Updated last week
• svg-project / Sparse-VideoGen
  [ICML2025, NeurIPS2025 Spotlight] Sparse VideoGen 1 & 2: Accelerating Video Diffusion Transformers with Sparse Attention
  ☆481Updated last week
• RiseAI-Sys / DAX
  High performance inference engine for diffusion models
  ☆93Updated last month
• shawnricecake / draft-attention
  Code for Draft Attention
  ☆90Updated 4 months ago
• thu-ml / SpargeAttn
  SpargeAttention: A training-free sparse attention that can accelerate any model inference.
  ☆729Updated last week
• thu-nics / ViDiT-Q
  [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
  ☆123Updated 6 months ago
• Shenyi-Z / TaylorSeer
  [ICCV2025] From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
  ☆291Updated last month
• AdaCache-DiT / AdaCache
  Adaptive Caching for Faster Video Generation with Diffusion Transformers
  ☆159Updated 11 months ago
• MingXiangL / Teacache-xDiT
  Combining Teacache with xDiT to Accelerate Visual Generation Models
  ☆31Updated 5 months ago
• nunchaku-tech / deepcompressor
  Model Compression Toolbox for Large Language Models and Diffusion Models
  ☆655Updated last month
• mit-han-lab / patch_conv
  Patch convolution to avoid large GPU memory usage of Conv2D
  ☆92Updated 8 months ago
• sandyresearch / chipmunk
  🎬 3.7× faster video generation E2E 🖼️ 1.6× faster image generation E2E ⚡ ColumnSparseAttn 9.3× vs FlashAttn‑3 💨 ColumnSparseGEMM 2.5× …
  ☆86Updated 3 weeks ago
• mit-han-lab / radial-attention
  [NeurIPS 2025] Radial Attention: O(nlogn) Sparse Attention with Energy Decay for Long Video Generation
  ☆517Updated 2 weeks ago
• Tele-AI / TeleTron
  To pioneer training long-context multi-modal transformer models
  ☆58Updated last month
• mit-han-lab / distrifuser
  [CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
  ☆707Updated 10 months ago
• huggingface / flux-fast
  Making Flux go brrr on GPUs.
  ☆144Updated 2 months ago
• Shenyi-Z / ToCa
  [ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Caching
  ☆185Updated 6 months ago
• mit-han-lab / Block-Sparse-Attention
  A sparse attention kernel supporting mix sparse patterns
  ☆311Updated 7 months ago
• microsoft / RAS
  An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional var…
  ☆143Updated 3 months ago
• thu-nics / MixDQ
  [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
  ☆45Updated 10 months ago
• Shenyi-Z / Cache4Diffusion
  Aiming to integrate most existing feature caching-based diffusion acceleration schemes into a unified framework.
  ☆55Updated last week
• Juanerx / Q-DiT
  [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
  ☆66Updated last year
• Vchitect / FasterCache
  [ICLR 2025] FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality
  ☆249Updated 9 months ago
• stepfun-ai / Step3
  ☆429Updated last month
• NoakLiu / FastCache-xDiT
  FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]
  ☆43Updated last month
• horseee / learning-to-cache
  [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
  ☆116Updated last year