JunyiWuCode / QuantCacheLinks
☆13Updated last month
Alternatives and similar repositories for QuantCache
Users that are interested in QuantCache are comparing it to the libraries listed below
Sorting:
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆115Updated 5 months ago
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆103Updated last month
- PyTorch code for our paper "Progressive Binarization with Semi-Structured Pruning for LLMs"☆10Updated 2 months ago
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆52Updated 2 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☆56Updated 11 months ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆64Updated last year
- 📚 Collection of awesome generation acceleration resources.☆322Updated last month
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆32Updated 9 months ago
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆101Updated last year
- ☆14Updated 5 months ago
- ☆173Updated 7 months ago
- [ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Caching☆173Updated 5 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆44Updated 9 months ago
- [ICLR'25] ARB-LLM: Alternating Refined Binarizations for Large Language Models☆26Updated 3 weeks ago
- The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"☆15Updated last month
- [ICML2025] Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity☆417Updated this week
- Curated list of methods that focuses on improving the efficiency of diffusion models☆46Updated last year
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆165Updated 10 months ago
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆25Updated 5 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆14Updated 9 months ago
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆198Updated last year
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆354Updated last year
- High performance inference engine for diffusion models☆79Updated 3 weeks ago
- ☆46Updated 3 months ago
- This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24 Poste…☆37Updated last year
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆58Updated last month
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆111Updated last year
- (ToCa-v2) A New version of ToCa，with faster speed and better acceleration!☆39Updated 5 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…☆187Updated 6 months ago