JunyiWuCode / QuantCacheLinks
[ICCV 2025] QuantCache：Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation
☆14Updated last month
Alternatives and similar repositories for QuantCache
Users that are interested in QuantCache are comparing it to the libraries listed below
Sorting:
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆109Updated last month
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆132Updated 7 months ago
- PyTorch code for our paper "Progressive Binarization with Semi-Structured Pruning for LLMs"☆12Updated last month
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆55Updated 4 months ago
- [ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Caching☆195Updated 8 months ago
- 📚 Collection of awesome generation acceleration resources.☆363Updated 4 months ago
- ☆186Updated 10 months ago
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆139Updated 2 years ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆72Updated last year
- [ICLR'25] ARB-LLM: Alternating Refined Binarizations for Large Language Models☆27Updated 3 months ago
- ☆15Updated 7 months ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆66Updated last year
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆101Updated last year
- (NeurIPS 2024) BiDM: Pushing the Limit of Quantization for Diffusion Models☆22Updated last year
- Curated list of methods that focuses on improving the efficiency of diffusion models☆44Updated last year
- (ToCa-v2) A New version of ToCa，with faster speed and better acceleration!☆38Updated 8 months ago
- This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24 Poste…☆38Updated last year
- Aiming to integrate most existing feature caching-based diffusion acceleration schemes into a unified framework.☆77Updated 3 weeks ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆46Updated 11 months ago
- The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"☆15Updated 4 months ago
- [ICCV2025]Generate one 2K image on single 3090 GPU!☆78Updated 2 months ago
- [CVPR 2025] The official implementation of "CacheQuant: Comprehensively Accelerated Diffusion Models"☆28Updated 2 weeks ago
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆206Updated last year
- ☆14Updated 9 months ago
- PyTorch code for our paper "2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution"☆44Updated last year
- [ICML2025, NeurIPS2025 Spotlight] Sparse VideoGen 1 & 2: Accelerating Video Diffusion Transformers with Sparse Attention☆575Updated last month
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆53Updated 7 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆51Updated last year
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆40Updated last year