42Shawn / PTQ4DMLinks
Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)
☆141Updated 2 years ago
Alternatives and similar repositories for PTQ4DM
Users that are interested in PTQ4DM are comparing it to the libraries listed below
Sorting:
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆103Updated last year
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆55Updated 7 months ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆67Updated last year
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆216Updated last year
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆74Updated last year
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆369Updated last year
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆146Updated 10 months ago
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆108Updated 3 months ago
- Curated list of methods that focuses on improving the efficiency of diffusion models☆44Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆49Updated last year
- ☆15Updated 10 months ago
- ☆191Updated last year
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including languag…☆204Updated 11 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆180Updated last year
- A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]☆311Updated last year
- This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24 Poste…☆38Updated last year
- [ICCV 2025] QuantCache:Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation☆15Updated 4 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆80Updated 5 months ago
- The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"☆19Updated 6 months ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆44Updated last year
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆127Updated 4 months ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆95Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆14Updated last year
- [ICLR'25] ARB-LLM: Alternating Refined Binarizations for Large Language Models☆28Updated 5 months ago
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆22Updated last year
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆74Updated 10 months ago
- Learnable Semi-structured Sparsity for Vision Transformers and Diffusion Transformers☆14Updated 11 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated last year
- (ICLR 2025) BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models☆26Updated last year