Alternatives and similar repositories for DiTFastAttn:

Users that are interested in DiTFastAttn are comparing it to the libraries listed below

• Shenyi-Z / ToCa
  Accelerating Diffusion Transformers with Token-wise Feature Caching
  ☆80Updated last week
• horseee / learning-to-cache
  [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
  ☆94Updated 7 months ago
• xuyang-liu16 / Awesome-Generation-Acceleration
  📚 Collection of awesome generation acceleration resources.
  ☆155Updated last week
• thu-nics / ViDiT-Q
  [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
  ☆55Updated last week
• prathebaselva / FORA
  FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.
  ☆38Updated 7 months ago
• AdaCache-DiT / AdaCache
  Adaptive Caching for Faster Video Generation with Diffusion Transformers
  ☆142Updated 3 months ago
• xdit-project / DistVAE
  A parallelism VAE avoids OOM for high resolution image generation
  ☆54Updated last month
• mit-han-lab / patch_conv
  Patch convolution to avoid large GPU memory usage of Conv2D
  ☆85Updated last month
• xdit-project / DiTCacheAnalysis
  An auxiliary project analysis of the characteristics of KV in DiT Attention.
  ☆26Updated 3 months ago
• 42Shawn / PTQ4DM
  Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)
  ☆130Updated last year
• ModelTC / TFMQ-DM
  [CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Mo…
  ☆60Updated 7 months ago
• ThisisBillhe / EfficientDM
  [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…
  ☆58Updated 9 months ago
• NUS-HPC-AI-Lab / SpeeD
  SpeeD: A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
  ☆176Updated last month
• ThisisBillhe / ZipAR
  This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality"
  ☆45Updated last month
• thu-nics / MixDQ
  [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
  ☆33Updated 3 months ago
• hatchetProject / QuEST
  QuEST: Efficient Finetuning for Low-bit Diffusion Models
  ☆40Updated last month
• Juanerx / Q-DiT
  [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
  ☆38Updated 6 months ago
• VainF / TinyFusion
  [CVPR 2025] TinyFusion: Diffusion Transformers Learned Shallow
  ☆80Updated 2 months ago
• ziplab / PTQD
  The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models
  ☆95Updated 11 months ago
• mit-han-lab / VisCompare
  A WebUI for Side-by-Side Comparison of Media (Images/Videos) Across Multiple Folders
  ☆20Updated last week
• mit-han-lab / deepcompressor
  Model Compression Toolbox for Large Language Models and Diffusion Models
  ☆349Updated last week
• mit-han-lab / Block-Sparse-Attention
  A sparse attention kernel supporting mix sparse patterns
  ☆151Updated 2 weeks ago
• DefTruth / Awesome-Diffusion-Inference
  📖A curated list of Awesome Diffusion Inference Papers with codes: Sampling, Caching, Multi-GPUs, etc. 🎉🎉
  ☆195Updated last month
• mit-han-lab / hart
  HART: Efficient Visual Generation with Hybrid Autoregressive Transformer
  ☆420Updated 4 months ago
• chengzeyi / ParaAttention
  Context parallel attention that accelerates DiT model inference with dynamic caching
  ☆196Updated this week
• mit-han-lab / vila-u
  [ICLR 2025] VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation
  ☆232Updated last month
• NVlabs / COAT
  [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training
  ☆102Updated last week
• OpenSparseLLMs / Skip-DiT
  ✈️ Accelerating Vision Diffusion Transformers with Skip Branches.
  ☆60Updated 2 months ago