BienLuky / CacheQuantLinks
[CVPR 2025] The official implementation of "CacheQuant: Comprehensively Accelerated Diffusion Models"
☆25Updated 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☆173Updated 5 months ago
- ☆173Updated 7 months ago
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆103Updated last month
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆52Updated 5 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆111Updated last year
- (ToCa-v2) A New version of ToCa，with faster speed and better acceleration!☆39Updated 5 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆115Updated 5 months ago
- Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation☆71Updated last month
- 📚 Collection of awesome generation acceleration resources.☆322Updated last month
- [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient☆106Updated 4 months ago
- [CVPR 2025 Highlight] TinyFusion: Diffusion Transformers Learned Shallow☆137Updated 4 months ago
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆156Updated 9 months ago
- ☆84Updated 5 months ago
- The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"☆15Updated last month
- [ICCV'25] The official code implementation of paper "Combining Similarity and Importance for Video Token Reduction on Large Visual Langua…☆54Updated 2 weeks ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆56Updated 11 months ago
- Curated list of methods that focuses on improving the efficiency of diffusion models☆46Updated last year
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆52Updated 2 months ago
- [ICCV2025] From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers☆269Updated 2 weeks ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆48Updated last year
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆64Updated last year
- [ICCV2025]Generate one 2K image on single 3090 GPU!☆55Updated 3 weeks ago
- [CVPR 2025] DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention☆171Updated 5 months ago
- [AAAI-2025] The offical code for SiTo （Similarity-based Token Pruning for Stable Diffusion Models）☆36Updated 2 months ago
- [ICML2025] Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity☆417Updated this week
- ☆14Updated 5 months ago
- The official implementation of "Neighboring Autoregressive Modeling for Efficient Visual Generation"☆53Updated 4 months ago
- The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"☆46Updated 8 months ago
- Dimple, the first Discrete Diffusion Multimodal Large Language Model☆95Updated last month
- [ICCV2025 highlight]Rectifying Magnitude Neglect in Linear Attention☆32Updated last month