thu-nics / ViDiT-QLinks
[ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
☆102Updated 3 months ago
Alternatives and similar repositories for ViDiT-Q
Users that are interested in ViDiT-Q are comparing it to the libraries listed below
Sorting:
- ☆167Updated 5 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆51Updated 9 months ago
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆65Updated last week
- QuEST: Efficient Finetuning for Low-bit Diffusion Models☆45Updated 5 months ago
- A sparse attention kernel supporting mix sparse patterns☆238Updated 4 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
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆139Updated 2 years ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆30Updated 7 months ago
- XAttention: Block Sparse Attention with Antidiagonal Scoring☆166Updated this week
- [ICML2025] Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity☆344Updated 2 weeks ago
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆99Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆42Updated 6 months ago
- Accelerating Diffusion Transformers with Token-wise Feature Caching☆159Updated 3 months ago
- 📚 Collection of awesome generation acceleration resources.☆270Updated 2 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆105Updated 11 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆136Updated last month
- Curated list of methods that focuses on improving the efficiency of diffusion models☆45Updated 11 months ago
- A parallelism VAE avoids OOM for high resolution image generation☆64Updated 5 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆47Updated 3 weeks ago
- ☆11Updated 3 months ago
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆31Updated 6 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆161Updated 8 months ago
- PyTorch code for our paper "ARB-LLM: Alternating Refined Binarizations for Large Language Models"☆24Updated 3 months ago
- Official implementation of "Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding"☆233Updated 2 weeks ago
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆150Updated 7 months ago
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆21Updated 2 months ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆40Updated 3 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆47Updated 11 months ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆61Updated 2 months ago
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆49Updated 2 months ago