Alternatives and similar repositories for PTQ4DM

Users that are interested in PTQ4DM are comparing it to the libraries listed below

• ziplab / PTQD
  The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models
  ☆100Updated last year
• ThisisBillhe / EfficientDM
  [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…
  ☆66Updated last year
• VainF / Diff-Pruning
  [NeurIPS 2023] Structural Pruning for Diffusion Models
  ☆203Updated last year
• Juanerx / Q-DiT
  [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
  ☆67Updated last year
• hatchetProject / QuEST
  [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models
  ☆54Updated 4 months ago
• Xiuyu-Li / q-diffusion
  [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.
  ☆357Updated last year
• thu-nics / ViDiT-Q
  [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
  ☆127Updated 7 months ago
• ModelTC / TFMQ-DM
  [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…
  ☆106Updated last month
• A-suozhang / Awesome-Efficient-Diffusion
  Curated list of methods that focuses on improving the efficiency of diffusion models
  ☆44Updated last year
• thu-nics / MixDQ
  [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
  ☆46Updated 11 months ago
• A-suozhang / ViDiT-Q
  ☆15Updated 7 months ago
• horseee / learning-to-cache
  [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
  ☆116Updated last year
• thu-nics / DiTFastAttn
  ☆182Updated 9 months ago
• Efficient-ML / Awesome-Efficient-AIGC
  A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including languag…
  ☆197Updated 8 months ago
• Intelligent-Computing-Lab-Panda / GPTAQ
  Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)
  ☆68Updated 3 months ago
• A-suozhang / MixDQ
  [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
  ☆14Updated 11 months ago
• Hsu1023 / DuQuant
  [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.
  ☆173Updated last year
• VainF / Isomorphic-Pruning
  [ECCV 2024] Isomorphic Pruning for Vision Models
  ☆79Updated last year
• ZHITENGLI / ARB-LLM
  [ICLR'25] ARB-LLM: Alternating Refined Binarizations for Large Language Models
  ☆27Updated 2 months ago
• thu-nics / MBQ
  The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"
  ☆65Updated 7 months ago
• adreamwu / PTQ4DiT
  PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005
  ☆37Updated 11 months ago
• JunyiWuCode / QuantCache
  [ICCV 2025] QuantCache：Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation
  ☆14Updated last month
• Nota-NetsPresso / BK-SDM
  A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]
  ☆301Updated last year
• VainF / MaskLLM-4V
  Learnable Semi-structured Sparsity for Vision Transformers and Diffusion Transformers
  ☆14Updated 8 months ago
• mit-han-lab / patch_conv
  Patch convolution to avoid large GPU memory usage of Conv2D
  ☆93Updated 9 months ago
• wimh966 / QDrop
  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…
  ☆124Updated last month
• ThisisBillhe / torch_quantizer
  torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.
  ☆22Updated last year
• ChangyuanWang17 / APQ-DM
  This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24 Poste…
  ☆38Updated last year
• BienLuky / EDA-DM
  The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"
  ☆15Updated 3 months ago
• ModelTC / QLLM
  [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…
  ☆39Updated last year