ziplab / PTQD
The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models
☆96Updated last year
Alternatives and similar repositories for PTQD:
Users that are interested in PTQD are comparing it to the libraries listed below
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆132Updated last year
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆60Updated 9 months ago
- QuEST: Efficient Finetuning for Low-bit Diffusion Models☆41Updated last month
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆65Updated 3 weeks ago
- [CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Mo…☆61Updated 7 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆33Updated 3 months ago
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆346Updated 11 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆40Updated 6 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆97Updated 8 months ago
- ☆150Updated 2 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆11Updated 3 months ago
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆182Updated 8 months ago
- ☆13Updated 3 weeks ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆84Updated last month
- Curated list of methods that focuses on improving the efficiency of diffusion models☆38Updated 8 months ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆25Updated 4 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆119Updated last month
- The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"☆12Updated 10 months ago
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆22Updated 11 months ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆47Updated last year
- ☆49Updated last year
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆39Updated 8 months ago
- Official implementation of the ICLR 2024 paper AffineQuant☆24Updated 11 months ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆52Updated last year
- Model Compression Toolbox for Large Language Models and Diffusion Models☆379Updated 3 weeks ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆63Updated 11 months ago
- ☆26Updated 2 months ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆115Updated last year
- [ECCV 2024] Isomorphic Pruning for Vision Models☆66Updated 7 months ago