Xiuyu-Li / q-diffusion
[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.
☆326Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for q-diffusion
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆87Updated 7 months ago
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆123Updated last year
- A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]☆255Updated 4 months ago
- [CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models☆587Updated this week
- [CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Mo…☆54Updated 3 months ago
- [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free☆791Updated 4 months ago
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆163Updated 4 months ago
- QuEST: Efficient Finetuning for Low-bit Diffusion Models☆32Updated 3 months ago
- ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆31Updated 2 months ago
- ☆96Updated last month
- SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models☆142Updated this week
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆30Updated 2 months ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆50Updated 5 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆71Updated 3 months ago
- HART: Efficient Visual Generation with Hybrid Autoregressive Transformer☆315Updated 3 weeks ago
- [NeurIPS 2024] Official implementation of "Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models"☆302Updated last month
- Scaling Diffusion Transformers with Mixture of Experts☆202Updated 2 months ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆79Updated 5 months ago
- PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight☆124Updated last year
- Official PyTorch and Diffusers Implementation of "LinFusion: 1 GPU, 1 Minute, 16K Image"☆237Updated last month
- A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including languag…☆152Updated last week
- [NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models☆259Updated 7 months ago
- A parallelism VAE avoids OOM for high resolution image generation☆40Updated last month
- T-GATE: Temporally Gating Attention to Accelerate Diffusion Model for Free!☆358Updated 2 months ago
- xDiT: A Scalable Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism☆668Updated this week
- Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"☆122Updated 6 months ago
- Curated list of methods that focuses on improving the efficiency of diffusion models☆28Updated 4 months ago
- Quantized Attention that achieves speedups of 2.1x and 2.7x compared to FlashAttention2 and xformers, respectively, without lossing end-t…☆364Updated last week
- 🚀 PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)"☆218Updated 2 years ago
- ☆121Updated this week