Xiuyu-Li / q-diffusion
[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.
☆348Updated 11 months ago
Alternatives and similar repositories for q-diffusion:
Users that are interested in q-diffusion are comparing it to the libraries listed below
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆132Updated last year
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆96Updated last year
- [CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Mo…☆62Updated 7 months ago
- Model Compression Toolbox for Large Language Models and Diffusion Models☆370Updated 3 weeks ago
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆182Updated 8 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆59Updated 2 weeks ago
- QuEST: Efficient Finetuning for Low-bit Diffusion Models☆41Updated last month
- [CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models☆662Updated 3 months ago
- ☆150Updated 2 months ago
- A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]☆284Updated 8 months ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆60Updated 9 months ago
- [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free☆864Updated 8 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆33Updated 3 months ago
- 📚 Collection of awesome generation acceleration resources.☆173Updated this week
- [NeurIPS 2024] Official implementation of "Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models"☆327Updated last month
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆97Updated 8 months ago
- 📖A curated list of Awesome Diffusion Inference Papers with codes: Sampling, Caching, Multi-GPUs, etc. 🎉🎉☆197Updated last month
- Context parallel attention that accelerates DiT model inference with dynamic caching☆210Updated this week
- Patch convolution to avoid large GPU memory usage of Conv2D☆85Updated last month
- Accelerating Diffusion Transformers with Token-wise Feature Caching☆105Updated this week
- A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including languag…☆174Updated last month
- Official PyTorch and Diffusers Implementation of "LinFusion: 1 GPU, 1 Minute, 16K Image"☆293Updated 2 months ago
- HART: Efficient Visual Generation with Hybrid Autoregressive Transformer☆420Updated 4 months ago
- [NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models☆264Updated 11 months ago
- PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight☆132Updated last year
- ☆49Updated last year
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆25Updated 4 months ago
- 🚀 PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)"☆234Updated 2 years ago
- Curated list of methods that focuses on improving the efficiency of diffusion models☆38Updated 8 months ago