42Shawn / PTQ4DMLinks
Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)
☆140Updated 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☆101Updated last year
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆201Updated last year
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆66Updated last year
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆354Updated last year
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆53Updated 2 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆119Updated 6 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆62Updated last year
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆103Updated 2 months ago
- Curated list of methods that focuses on improving the efficiency of diffusion models☆46Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆45Updated 9 months ago
- ☆175Updated 8 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆113Updated last year
- ☆14Updated 6 months ago
- A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including languag…☆193Updated 7 months ago
- ☆13Updated 2 months ago
- A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]☆297Updated last year
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆33Updated 10 months ago
- [ICLR'25] ARB-LLM: Alternating Refined Binarizations for Large Language Models☆27Updated last month
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆166Updated 11 months ago
- A list of papers, docs, codes about diffusion distillation.This repo collects various distillation methods for the Diffusion model. Welc…☆38Updated last year
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆63Updated last month
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆14Updated 9 months ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆92Updated 7 months ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆56Updated 6 months ago
- The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"☆15Updated 2 months ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆124Updated 2 years ago
- This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24 Poste…☆37Updated last year
- [ECCV 2024] Isomorphic Pruning for Vision Models☆77Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆148Updated 3 months ago
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆23Updated last year