Alternatives and similar repositories for Awesome-Efficient-Diffusion:

Users that are interested in Awesome-Efficient-Diffusion are comparing it to the libraries listed below

• hatchetProject / QuEST
  QuEST: Efficient Finetuning for Low-bit Diffusion Models
  ☆41Updated last month
• ThisisBillhe / EfficientDM
  [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…
  ☆60Updated 9 months ago
• horseee / learning-to-cache
  [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
  ☆97Updated 8 months ago
• ModelTC / TFMQ-DM
  [CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Mo…
  ☆62Updated 7 months ago
• ThisisBillhe / ZipAR
  This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality"
  ☆46Updated last month
• Juanerx / Q-DiT
  [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
  ☆38Updated 6 months ago
• VainF / Diff-Pruning
  [NeurIPS 2023] Structural Pruning for Diffusion Models
  ☆182Updated 8 months ago
• thu-nics / ViDiT-Q
  [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
  ☆59Updated 3 weeks ago
• thu-nics / DiTFastAttn
  ☆150Updated 2 months ago
• 42Shawn / PTQ4DM
  Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)
  ☆132Updated last year
• prathebaselva / FORA
  FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.
  ☆38Updated 8 months ago
• lilijiangg / AutoDiffusion
  ☆45Updated last year
• ziplab / PTQD
  The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models
  ☆96Updated last year
• mingyuanzhou / SiD
  PyTorch code and model checkpoints for Score identity Distillation (SiD) and its adversarial version (SiDA)
  ☆104Updated 2 weeks ago
• NUS-HPC-AI-Lab / Dynamic-Diffusion-Transformer
  ☆57Updated last month
• czg1225 / CoDe
  [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
  ☆86Updated last week
• maple-research-lab / SIM
  Inference-only implementation of "One-Step Diffusion Distillation through Score Implicit Matching" [NIPS 2024]
  ☆78Updated 3 months ago
• Shenyi-Z / ToCa
  Accelerating Diffusion Transformers with Token-wise Feature Caching
  ☆105Updated this week
• byeongjun-park / Switch-DiT
  [ECCV 2024] Official pytorch implementation of "Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts"
  ☆38Updated 8 months ago
• NUS-HPC-AI-Lab / SpeeD
  SpeeD: A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
  ☆177Updated last month
• xdit-project / DiTCacheAnalysis
  An auxiliary project analysis of the characteristics of KV in DiT Attention.
  ☆27Updated 3 months ago
• fla-org / flash-bidirectional-linear-attention
  Triton implement of bi-directional (non-causal) linear attention
  ☆43Updated last month
• A-suozhang / ViDiT-Q
  ☆13Updated 3 weeks ago
• xuyang-liu16 / Awesome-Generation-Acceleration
  📚 Collection of awesome generation acceleration resources.
  ☆173Updated this week
• ruiqixu37 / distill_diffusion
  Implementation of the 2023 CVPR Award Candidate: On Distillation of Guided Diffusion Models
  ☆45Updated last year
• OpenSparseLLMs / Skip-DiT
  ✈️ Accelerating Vision Diffusion Transformers with Skip Branches.
  ☆61Updated 3 months ago
• thu-nics / MixDQ
  [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
  ☆33Updated 3 months ago
• mit-han-lab / patch_conv
  Patch convolution to avoid large GPU memory usage of Conv2D
  ☆85Updated last month
• lxa9867 / Awesome-Autoregressive-Visual-Generation
  This is a repo to track the latest autoregressive visual generation papers.
  ☆153Updated this week