thu-nics / ViDiT-Q
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
☆40Updated 4 months ago
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…☆61Updated 5 months ago
- QuEST: Efficient Finetuning for Low-bit Diffusion Models☆35Updated 3 weeks ago
- Accelerating Diffusion Transformers with Token-wise Feature Caching☆46Updated last week
- ☆127Updated this week
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆55Updated 7 months ago
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆94Updated 10 months ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆19Updated 2 months ago
- PyTorch code for Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆36Updated 4 months ago
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆127Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆32Updated last month
- The official code implementation of paper "Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models"☆21Updated last week
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆91Updated 6 months ago
- ☆18Updated 2 months ago
- An algorithm for static activation quantization of LLMs☆107Updated this week
- SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆27Updated 5 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆137Updated 3 months ago
- 📚 Collection of awesome generation acceleration resources.☆93Updated this week
- Curated list of methods that focuses on improving the efficiency of diffusion models☆34Updated 6 months ago
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆21Updated 9 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆11Updated last month
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆27Updated 3 months ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆52Updated last year
- A parallelism VAE avoids OOM for high resolution image generation☆49Updated last week
- This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality"☆43Updated this week
- The official implementation of the ICML 2023 paper OFQ-ViT☆30Updated last year
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆45Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆60Updated 9 months ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆35Updated 10 months ago
- This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24 Poste…☆35Updated 7 months ago
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆17Updated 5 months ago