Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)
☆146Apr 1, 2023Updated 3 years ago
Alternatives and similar repositories for PTQ4DM
Users that are interested in PTQ4DM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆103Mar 12, 2024Updated 2 years ago
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆380Mar 21, 2024Updated 2 years ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆74Jun 4, 2024Updated 2 years ago
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆61Jun 26, 2025Updated last year
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆133Sep 23, 2025Updated 11 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24 Poste…☆37Jun 4, 2024Updated 2 years ago
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆110Sep 29, 2025Updated 11 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆168Mar 21, 2025Updated last year
- Pytorch implementation of BRECQ, ICLR 2021☆301Aug 1, 2021Updated 5 years ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆49Nov 8, 2024Updated last year
- Improved the performance of 8-bit PTQ4DM expecially on FID.☆11Aug 30, 2023Updated 3 years ago
- Post-Training Quantization for Vision transformers.☆245Jul 19, 2022Updated 4 years ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆79Sep 3, 2024Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆61Mar 23, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Reorder-based post-training quantization for large language model☆200May 17, 2023Updated 3 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆52Oct 21, 2023Updated 2 years ago
- ☆15Mar 21, 2025Updated last year
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,681Jul 12, 2024Updated 2 years ago
- Post-training sparsity-aware quantization☆34Feb 26, 2023Updated 3 years ago
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Jun 19, 2020Updated 6 years ago
- Pytorch implementation of our paper accepted by ECCV2022 -- Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networ…☆30Sep 13, 2022Updated 3 years ago
- [TIP 2026] The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"☆24Jul 8, 2025Updated last year
- This repository contains integer operators on GPUs for PyTorch.☆235Sep 29, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆223Jul 8, 2024Updated 2 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆39Oct 3, 2023Updated 2 years ago
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆37Mar 2, 2022Updated 4 years ago
- A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]☆323Jul 6, 2024Updated 2 years ago
- This is the official repo for the paper "Accelerating Parallel Sampling of Diffusion Models" Tang et al. ICML 2024 https://openreview.net…☆16Jul 19, 2024Updated 2 years ago
- List of papers related to neural network quantization in recent AI conferences and journals.☆848Mar 27, 2025Updated last year
- AFPQ code implementation☆23Nov 6, 2023Updated 2 years ago
- [ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inferen…☆16Feb 13, 2022Updated 4 years ago
- ☆192Jan 14, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- PB-LLM: Partially Binarized Large Language Models☆158Nov 20, 2023Updated 2 years ago
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆52Mar 25, 2025Updated last year
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆106May 22, 2023Updated 3 years ago
- (ICLR 2025) BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models☆25Oct 4, 2024Updated last year
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆39Aug 20, 2024Updated 2 years ago
- ☆44Mar 15, 2024Updated 2 years ago
- A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including languag…☆208Feb 10, 2025Updated last year