Xiuyu-Li / q-diffusionLinks
[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.
☆357Updated last year
Alternatives and similar repositories for q-diffusion
Users that are interested in q-diffusion are comparing it to the libraries listed below
Sorting:
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆100Updated last year
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆139Updated 2 years ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆126Updated 7 months ago
- [CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models☆708Updated 10 months ago
- A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]☆301Updated last year
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆53Updated 4 months ago
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆203Updated last year
- [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free☆935Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆45Updated 11 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆67Updated last year
- ☆182Updated 9 months ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆66Updated last year
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆106Updated last month
- Curated list of methods that focuses on improving the efficiency of diffusion models☆44Updated last year
- Model Compression Toolbox for Large Language Models and Diffusion Models☆678Updated 2 months ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆93Updated 9 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- A parallelism VAE avoids OOM for high resolution image generation☆81Updated 2 months ago
- The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"☆15Updated 3 months ago
- 📚A curated list of Awesome Diffusion Inference Papers with Codes: Sampling, Cache, Quantization, Parallelism, etc.🎉☆434Updated 2 months ago
- A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including languag…☆197Updated 8 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆68Updated 3 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆173Updated last year
- A sparse attention kernel supporting mix sparse patterns☆342Updated 8 months ago
- [NeurIPS 2024] Official implementation of "Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models"☆345Updated 7 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆161Updated this week
- ☆49Updated last year
- 🎬 3.7× faster video generation E2E 🖼️ 1.6× faster image generation E2E ⚡ ColumnSparseAttn 9.3× vs FlashAttn‑3 💨 ColumnSparseGEMM 2.5× …☆87Updated last month
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆37Updated 11 months ago
- A Unified Cache Acceleration Framework for 🤗Diffusers: Qwen-Image-Lightning, Qwen-Image, HunyuanImage, Wan, FLUX, etc.☆460Updated this week