BienLuky / EDA-DMLinks
The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"
☆17Updated 5 months ago
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☆55Updated 5 months ago
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆109Updated 2 months ago
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆102Updated last year
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆73Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆47Updated last year
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆139Updated 8 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
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆140Updated 2 years ago
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆209Updated last year
- ☆15Updated 8 months ago
- ☆187Updated 10 months ago
- Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation☆80Updated 4 months ago
- [CVPR-2025] Official implementations of "DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture".☆28Updated 7 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- [ICCV 2025] QuantCache：Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation☆14Updated 2 months ago
- [CVPR 2025] The official implementation of "CacheQuant: Comprehensively Accelerated Diffusion Models"☆33Updated last month
- Curated list of methods that focuses on improving the efficiency of diffusion models☆44Updated last year
- [ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Caching☆196Updated 8 months ago
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆365Updated last year
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆52Updated last year
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆53Updated 8 months ago
- A list of papers, docs, codes about diffusion distillation.This repo collects various distillation methods for the Diffusion model. Welc…☆40Updated 2 years ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆41Updated last year
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆68Updated 8 months ago
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆22Updated last year
- This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24 Poste…☆38Updated last year
- The official implementation of "Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers" (arXiv …☆49Updated 6 months ago
- Code for Draft Attention☆96Updated 6 months ago
- Code for our ICCV 2025 paper "Adaptive Caching for Faster Video Generation with Diffusion Transformers"☆161Updated last year
- [ICML2025] LoRA fine-tune directly on the quantized models.☆36Updated last year