thu-nics / MixDQLinks
[ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
☆42Updated 6 months ago
Alternatives and similar repositories for MixDQ
Users that are interested in MixDQ are comparing it to the libraries listed below
Sorting:
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆98Updated last year
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆50Updated 9 months ago
- 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
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆46Updated this week
- [CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Mo…☆63Updated 10 months ago
- A parallelism VAE avoids OOM for high resolution image generation☆64Updated 4 months ago
- ☆167Updated 4 months ago
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆138Updated 2 years ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆60Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆12Updated 6 months ago
- Code for Draft Attention☆32Updated 2 weeks ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆41Updated 2 months ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆87Updated 4 months ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆22Updated last year
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆30Updated 6 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆104Updated 10 months ago
- 🎬 3.7× faster video generation E2E 🖼️ 1.6× faster image generation E2E ⚡ ColumnSparseAttn 9.3× vs FlashAttn‑3 💨 ColumnSparseGEMM 2.5× …☆65Updated this week
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆136Updated 2 weeks ago
- Official implementation of the ICLR 2024 paper AffineQuant☆26Updated last year
- 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
- ☆13Updated 2 months ago
- The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"☆12Updated last year
- Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆34Updated last week
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆37Updated 8 months ago
- TerDiT: Ternary Diffusion Models with Transformers☆71Updated 11 months ago
- ☆29Updated 5 months ago
- BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.☆52Updated 2 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆38Updated last year