Xiuyu-Li / q-diffusionLinks
[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.
☆369Updated 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:
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆141Updated 2 years ago
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆103Updated last year
- [CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models☆718Updated last year
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆55Updated 7 months ago
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆216Updated last year
- A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]☆312Updated last year
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆146Updated 10 months ago
- [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free☆951Updated last year
- ☆190Updated last year
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆74Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆49Updated last year
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆67Updated last year
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆108Updated 4 months ago
- Curated list of methods that focuses on improving the efficiency of diffusion models☆44Updated last year
- Patch convolution to avoid large GPU memory usage of Conv2D☆95Updated last year
- A parallelism VAE avoids OOM for high resolution image generation☆85Updated 5 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- Model Compression Toolbox for Large Language Models and Diffusion Models☆744Updated 5 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…☆204Updated 11 months ago
- 📚A curated list of Awesome Diffusion Inference Papers with Codes: Sampling, Cache, Quantization, Parallelism, etc.🎉☆504Updated 2 weeks ago
- A sparse attention kernel supporting mix sparse patterns☆446Updated 2 weeks ago
- The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"☆20Updated 6 months ago
- [NeurIPS 2024] Official implementation of "Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models"☆350Updated 10 months ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆44Updated last year
- PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight☆151Updated 2 years ago
- [NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models☆268Updated last year
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆80Updated 6 months ago
- A list of papers, docs, codes about diffusion distillation.This repo collects various distillation methods for the Diffusion model. Welc…☆40Updated 2 years ago
- ☆15Updated 10 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆172Updated 2 months ago