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☆104Mar 12, 2024Updated 2 years ago
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆381Mar 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…☆75Jun 4, 2024Updated 2 years ago
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆62Jun 26, 2025Updated last year
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆111Sep 29, 2025Updated last year
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆136Sep 23, 2025Updated last year
- 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
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆50Nov 8, 2024Updated last year
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆169Mar 21, 2025Updated last year
- Pytorch implementation of BRECQ, ICLR 2021☆304Aug 1, 2021Updated 5 years ago
- Post-Training Quantization for Vision transformers.☆246Jul 19, 2022Updated 4 years ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆81Sep 3, 2024Updated 2 years ago
- Improved the performance of 8-bit PTQ4DM expecially on FID.☆11Aug 30, 2023Updated 3 years ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆61Mar 23, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆52Oct 21, 2023Updated 3 years ago
- Pytorch implementation of our paper accepted by ECCV2022 -- Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networ…☆30Sep 13, 2022Updated 4 years ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆50Nov 27, 2024Updated last year
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Jun 19, 2020Updated 6 years ago
- Reorder-based post-training quantization for large language model☆201May 17, 2023Updated 3 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
- Post-training sparsity-aware quantization☆34Feb 26, 2023Updated 3 years ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,698Jul 12, 2024Updated 2 years ago
- DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing (WACV 2025)☆13Feb 7, 2026Updated 8 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- This repository contains integer operators on GPUs for PyTorch.☆236Sep 29, 2023Updated 3 years ago
- [ICCV 2023] RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers☆146Jan 10, 2024Updated 2 years ago
- AFPQ code implementation☆23Nov 6, 2023Updated 2 years ago
- ☆192Jan 14, 2025Updated last year
- ☆15Mar 21, 2025Updated last year
- [TIP 2026] The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"☆24Jul 8, 2025Updated last year
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆226Jul 8, 2024Updated 2 years ago
- (ICLR 2025) BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models☆25Oct 4, 2024Updated 2 years ago
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Jun 22, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]☆329Jul 6, 2024Updated 2 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆39Oct 3, 2023Updated 3 years ago
- ☆36Mar 29, 2023Updated 3 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
- [ACMMM 2025] The official implementation of "DilateQuant: Accurate and Efficient Quantization-Aware Training for Diffusion Models via Wei…☆14Jul 8, 2025Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆540Nov 26, 2024Updated last year
- List of papers related to neural network quantization in recent AI conferences and journals.☆855Mar 27, 2025Updated last year