thu-nics / MixDQLinks
[ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
☆45Updated 9 months ago
Alternatives and similar repositories for MixDQ
Users that are interested in MixDQ are comparing it to the libraries listed below
Sorting:
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆118Updated 5 months ago
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆101Updated last year
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆61Updated last year
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆53Updated 2 months ago
- ☆175Updated 8 months ago
- A parallelism VAE avoids OOM for high resolution image generation☆78Updated last month
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆103Updated 2 months ago
- FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]☆35Updated last week
- Patch convolution to avoid large GPU memory usage of Conv2D☆92Updated 7 months ago
- ☆14Updated 5 months ago
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆140Updated 2 years ago
- High performance inference engine for diffusion models☆91Updated 2 weeks ago
- This is the official repo for the paper "Accelerating Parallel Sampling of Diffusion Models" Tang et al. ICML 2024 https://openreview.net…☆16Updated last year
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆66Updated last year
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆62Updated last month
- Code for Draft Attention☆90Updated 3 months ago
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆32Updated 9 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆14Updated 9 months ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆55Updated 6 months ago
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆354Updated last year
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆113Updated last year
- Curated list of methods that focuses on improving the efficiency of diffusion models☆46Updated last year
- 🎬 3.7× faster video generation E2E 🖼️ 1.6× faster image generation E2E ⚡ ColumnSparseAttn 9.3× vs FlashAttn‑3 💨 ColumnSparseGEMM 2.5× …☆84Updated last week
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆51Updated 2 months ago
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆23Updated last year
- A Unified Cache Acceleration Toolbox for 🤗Diffusers: FLUX.1, Qwen-Image-Edit, Qwen-Image, HunyuanImage-2.1, Wan 2.1/2.2, etc.☆317Updated this week
- [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity☆55Updated 2 months ago
- ☆51Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆148Updated 3 months ago
- High Performance Int8 GEMM Kernels for SM80 and later GPUs.☆12Updated 6 months ago