Shenyi-Z / ToCaLinks
[ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Caching
☆193Updated 8 months ago
Alternatives and similar repositories for ToCa
Users that are interested in ToCa are comparing it to the libraries listed below
Sorting:
- [ICCV2025] From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers☆326Updated 3 months ago
- (ToCa-v2) A New version of ToCa,with faster speed and better acceleration!☆38Updated 8 months ago
- 📚 Collection of awesome generation acceleration resources.☆361Updated 4 months ago
- ☆186Updated 10 months ago
- [ICML2025, NeurIPS2025 Spotlight] Sparse VideoGen 1 & 2: Accelerating Video Diffusion Transformers with Sparse Attention☆560Updated last month
- An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional var…☆146Updated 4 months ago
- Code for our ICCV 2025 paper "Adaptive Caching for Faster Video Generation with Diffusion Transformers"☆160Updated last year
- Aiming to integrate most existing feature caching-based diffusion acceleration schemes into a unified framework.☆76Updated 3 weeks ago
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆107Updated last month
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆130Updated 7 months ago
- [NeurIPS 2025] Radial Attention: O(nlogn) Sparse Attention with Energy Decay for Long Video Generation☆542Updated 2 weeks ago
- [ICLR 2025] FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality☆251Updated 10 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation☆76Updated 4 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆51Updated last year
- [NeurIPS 2025] Official PyTorch implementation of paper "CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up".☆212Updated last month
- ☆88Updated 7 months ago
- [NeurIPS 2025] Training-Free Efficient Video Generation via Dynamic Token Carving☆253Updated 3 months ago
- [CVPR 2025 Highlight] TinyFusion: Diffusion Transformers Learned Shallow☆145Updated 7 months ago
- [NeurIPS 2025 DB] OneIG-Bench is a meticulously designed comprehensive benchmark framework for fine-grained evaluation of T2I models acro…☆82Updated 3 weeks ago
- [NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising☆206Updated last month
- Official implementation of DiCache: Let Diffusion Model Determine Its Own Cache☆51Updated last month
- Official code for ICCV 2025 paper, X2I: Seamless Integration of Multimodal Understanding into Diffusion Transformer via Attention Distill…☆86Updated 4 months ago
- [CVPR 2025] The official implementation of "CacheQuant: Comprehensively Accelerated Diffusion Models"☆28Updated last week
- DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space☆279Updated last month
- [ICCV2025] The code of our work "Golden Noise for Diffusion Models: A Learning Framework".☆188Updated 3 months ago
- Code for Draft Attention☆92Updated 5 months ago
- [ICCV 2025][Few-Step Student Surpasses Teacher Diffusion] Learning Few-Step Diffusion Models by Trajectory Distribution Matching☆58Updated last week
- (ICCV2025) EEdit⚡: Rethinking the Spatial and Temporal Redundancy for Efficient Image Editing☆57Updated last month
- Implementation of "S^2-Guidance: Stochastic Self Guidance for Training-Free Enhancement of Diffusion Models"☆142Updated last month