BienLuky / EDA-DMLinks
The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"
☆15Updated last month
Alternatives and similar repositories for EDA-DM
Users that are interested in EDA-DM are comparing it to the libraries listed below
Sorting:
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆52Updated 2 months ago
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆103Updated last month
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆64Updated last year
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆101Updated last year
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆115Updated 5 months ago
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆139Updated 2 years ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆44Updated 9 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆56Updated 11 months ago
- Curated list of methods that focuses on improving the efficiency of diffusion models☆46Updated last year
- ☆173Updated 7 months ago
- ☆14Updated 5 months ago
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆354Updated last year
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆198Updated last year
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆111Updated last year
- ☆13Updated last month
- [CVPR 2025] The official implementation of "CacheQuant: Comprehensively Accelerated Diffusion Models"☆25Updated last month
- [ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Caching☆173Updated 5 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
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆32Updated 9 months ago
- Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation☆71Updated last month
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆52Updated 5 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆48Updated last year
- [ICML2025] Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity☆417Updated this week
- An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional var…☆138Updated 2 months ago
- ☆49Updated last year
- [ICML2025] LoRA fine-tune directly on the quantized models.☆35Updated 9 months ago
- This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24 Poste…☆37Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆14Updated 9 months ago
- A list of papers, docs, codes about diffusion distillation.This repo collects various distillation methods for the Diffusion model. Welc…☆36Updated last year
- [ICCV2025] From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers☆269Updated 2 weeks ago