ModelTC / TFMQ-DMLinks
[CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models".
☆63Updated 10 months ago
Alternatives and similar repositories for TFMQ-DM
Users that are interested in TFMQ-DM are comparing it to the libraries listed below
Sorting:
- QuEST: Efficient Finetuning for Low-bit Diffusion Models☆45Updated 4 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆98Updated 2 months ago
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆138Updated 2 years ago
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆98Updated last year
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆60Updated last year
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆50Updated 9 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆42Updated 6 months ago
- Curated list of methods that focuses on improving the efficiency of diffusion models☆45Updated 10 months ago
- ☆167Updated 4 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆104Updated 10 months ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆30Updated 6 months ago
- ☆11Updated 2 months ago
- The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"☆12Updated last year
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆194Updated 10 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆46Updated this week
- This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24 Poste…☆36Updated last year
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆347Updated last year
- Code for Draft Attention☆32Updated 2 weeks ago
- PyTorch code for our paper "ARB-LLM: Alternating Refined Binarizations for Large Language Models"☆24Updated 2 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆161Updated 8 months ago
- ☆13Updated 2 months ago
- This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality"☆47Updated 2 months ago
- Accelerating Diffusion Transformers with Token-wise Feature Caching☆152Updated 2 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆12Updated 6 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆136Updated 2 weeks ago
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆146Updated 7 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…☆182Updated 3 months ago
- [ICML2025] Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity☆292Updated last week
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆41Updated 2 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆46Updated 10 months ago