BienLuky / CacheQuantLinks
[CVPR 2025] The official implementation of "CacheQuant: Comprehensively Accelerated Diffusion Models"
☆33Updated last month
Alternatives and similar repositories for CacheQuant
Users that are interested in CacheQuant are comparing it to the libraries listed below
Sorting:
- [ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Caching☆196Updated 8 months ago
- Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation☆80Updated 4 months ago
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆109Updated 2 months ago
- ☆187Updated 10 months ago
- (ToCa-v2) A New version of ToCa，with faster speed and better acceleration!☆39Updated 8 months ago
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆53Updated 8 months ago
- 📚 Collection of awesome generation acceleration resources.☆369Updated 5 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient☆107Updated 2 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆139Updated 8 months ago
- [ICCV'25] The official code of paper "Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models"☆67Updated 2 weeks ago
- ☆89Updated 8 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆73Updated last year
- [CVPR 2025 Highlight] TinyFusion: Diffusion Transformers Learned Shallow☆150Updated last week
- [NeurIPS'24]Efficient and accurate memory saving method towards W4A4 large multi-modal models.☆91Updated 11 months ago
- Code for our ICCV 2025 paper "Adaptive Caching for Faster Video Generation with Diffusion Transformers"☆161Updated last year
- [ICCV2025]Generate one 2K image on single 3090 GPU!☆79Updated 3 months ago
- [ICML'25] Official implementation of paper "SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference".☆201Updated 6 months ago
- [NeurIPS 24] MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks☆132Updated last year
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆52Updated last year
- [ICCV2025 highlight]Rectifying Magnitude Neglect in Linear Attention☆51Updated 4 months ago
- The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"☆17Updated 5 months ago
- Autoregressive Image Generation with Randomized Parallel Decoding☆81Updated last month
- [CVPRW 2025] UniToken is an auto-regressive generation model that combines discrete and continuous representations to process visual inpu…☆97Updated 7 months ago
- The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"☆51Updated 11 months ago
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆55Updated 5 months ago
- [CVPR 2025] DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention☆175Updated 9 months ago
- Official code for paper: [CLS] Attention is All You Need for Training-Free Visual Token Pruning: Make VLM Inference Faster.☆97Updated 5 months ago
- [ICCV2025] From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers☆345Updated 4 months ago
- This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24 Poste…☆38Updated last year