thu-nics / ViDiT-Q
[ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
☆80Updated last month
Alternatives and similar repositories for ViDiT-Q:
Users that are interested in ViDiT-Q are comparing it to the libraries listed below
- [CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Mo…☆63Updated 9 months ago
- ☆163Updated 3 months ago
- QuEST: Efficient Finetuning for Low-bit Diffusion Models☆44Updated 3 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆47Updated 8 months ago
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆137Updated 2 years ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆28Updated 5 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆35Updated 5 months ago
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆99Updated last year
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆59Updated 11 months ago
- 📚 Collection of awesome generation acceleration resources.☆223Updated last week
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆158Updated 7 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆101Updated 9 months ago
- Curated list of methods that focuses on improving the efficiency of diffusion models☆44Updated 9 months ago
- [ICML2025] Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity☆191Updated this week
- XAttention: Block Sparse Attention with Antidiagonal Scoring☆142Updated last month
- Code implementation of GPTQv2 (https://arxiv.org/abs/2504.02692)☆36Updated 2 weeks ago
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆21Updated last month
- A parallelism VAE avoids OOM for high resolution image generation☆61Updated 3 months ago
- A sparse attention kernel supporting mix sparse patterns☆200Updated 2 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆129Updated 3 months ago
- Accelerating Diffusion Transformers with Token-wise Feature Caching☆134Updated last month
- PyTorch code for our paper "ARB-LLM: Alternating Refined Binarizations for Large Language Models"☆24Updated last month
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆45Updated 9 months ago
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆147Updated 6 months ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆86Updated 3 months ago
- This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality"☆46Updated last month
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆47Updated 3 weeks ago
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆348Updated last year
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆38Updated last month
- This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24 Poste…☆35Updated 11 months ago