horseee / learning-to-cacheLinks
[NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
☆113Updated last year
Alternatives and similar repositories for learning-to-cache
Users that are interested in learning-to-cache are comparing it to the libraries listed below
Sorting:
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆54Updated 5 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆48Updated last year
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆157Updated 10 months ago
- ☆173Updated 8 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆59Updated last year
- Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation☆71Updated 2 months ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆65Updated last year
- Official implementation of paper "VMoBA: Mixture-of-Block Attention for Video Diffusion Models"☆43Updated 2 months ago
- SpeeD: A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training☆183Updated 7 months ago
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆103Updated 2 months ago
- [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient☆105Updated 5 months ago
- ✈️ [ICCV 2025] Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints☆73Updated 2 months ago
- Code for Draft Attention☆91Updated 3 months ago
- ☆95Updated 3 months ago
- ☆86Updated 5 months ago
- TerDiT: Ternary Diffusion Models with Transformers☆71Updated last year
- Curated list of methods that focuses on improving the efficiency of diffusion models☆46Updated last year
- [CVPR 2025 Highlight] TinyFusion: Diffusion Transformers Learned Shallow☆139Updated 5 months ago
- Codes accompanying the paper "Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment"☆36Updated 7 months ago
- Dimple, the first Discrete Diffusion Multimodal Large Language Model☆96Updated 2 months ago
- Autoregressive Image Generation with Randomized Parallel Decoding☆72Updated 5 months ago
- [ICLR 2025] Implementation of Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding☆42Updated 4 months ago
- [ECCV 2024] Official pytorch implementation of "Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts"☆44Updated last year
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆118Updated 5 months ago
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆53Updated 2 months ago
- [ICLR 2025] Official PyTorch implmentation of paper "T-Stitch: Accelerating Sampling in Pre-trained Diffusion Models with Trajectory Stit…☆103Updated last year
- A WebUI for Side-by-Side Comparison of Media (Images/Videos) Across Multiple Folders☆23Updated 6 months ago
- An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional var…☆139Updated 2 months ago
- The official implementation of "Neighboring Autoregressive Modeling for Efficient Visual Generation"☆55Updated 5 months ago
- [ICLR 2025] Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching☆49Updated 4 months ago