BienLuky / EDA-DMLinks
The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"
☆12Updated last year
Alternatives and similar repositories for EDA-DM
Users that are interested in EDA-DM are comparing it to the libraries listed below
Sorting:
- QuEST: Efficient Finetuning for Low-bit Diffusion Models☆45Updated 4 months ago
- [CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Mo…☆63Updated 10 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆42Updated 6 months ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆60Updated last year
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆98Updated 2 months ago
- ☆13Updated 2 months ago
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆98Updated last year
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆104Updated 10 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆50Updated 9 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 of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality"☆47Updated 2 months ago
- Curated list of methods that focuses on improving the efficiency of diffusion models☆45Updated 10 months ago
- TerDiT: Ternary Diffusion Models with Transformers☆71Updated 11 months ago
- [CVPR 2025] The official implementation of "CacheQuant: Comprehensively Accelerated Diffusion Models"☆20Updated last week
- Code for Draft Attention☆32Updated 2 weeks ago
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆138Updated 2 years ago
- This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24 Poste…☆36Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆12Updated 6 months ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆30Updated 6 months ago
- ☆167Updated 4 months ago
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆194Updated 10 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆46Updated 10 months ago
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆45Updated 3 months ago
- ☆11Updated 2 months ago
- ☆78Updated 2 months ago
- Learnable Semi-structured Sparsity for Vision Transformers and Diffusion Transformers☆11Updated 3 months ago
- Paper survey of efficient computation for large scale models.☆34Updated 5 months ago
- [CVPR 2025 Highlight] TinyFusion: Diffusion Transformers Learned Shallow☆120Updated 2 months ago
- This is the official repo for the paper "Accelerating Parallel Sampling of Diffusion Models" Tang et al. ICML 2024 https://openreview.net…☆14Updated 10 months ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆41Updated 2 months ago