A-suozhang / ViDiT-QLinks
☆14Updated 5 months ago
Alternatives and similar repositories for ViDiT-Q
Users that are interested in ViDiT-Q 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…☆103Updated last month
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆115Updated 5 months ago
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆52Updated 2 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆56Updated 11 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆14Updated 9 months ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆55Updated 5 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
- ☆173Updated 7 months ago
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆139Updated 2 years ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆111Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆44Updated 9 months ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆32Updated 9 months ago
- FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]☆32Updated last week
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆100Updated last year
- Curated list of methods that focuses on improving the efficiency of diffusion models☆46Updated last year
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆25Updated 4 months ago
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆50Updated 6 months ago
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆52Updated 5 months ago
- [ICLR'25] ARB-LLM: Alternating Refined Binarizations for Large Language Models☆26Updated 3 weeks ago
- This is the official repo for the paper "Accelerating Parallel Sampling of Diffusion Models" Tang et al. ICML 2024 https://openreview.net…☆15Updated last year
- ☆90Updated 3 months ago
- (ICLR 2025) BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models☆24Updated 10 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆165Updated 10 months ago
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆32Updated 8 months ago
- Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation☆67Updated last month
- Learnable Semi-structured Sparsity for Vision Transformers and Diffusion Transformers☆14Updated 6 months ago
- Code for Draft Attention☆90Updated 3 months ago
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆23Updated last year
- [ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Caching☆173Updated 5 months ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Updated last year