Shenyi-Z / ToCa
Accelerating Diffusion Transformers with Token-wise Feature Caching
☆135Updated last month
Alternatives and similar repositories for ToCa:
Users that are interested in ToCa are comparing it to the libraries listed below
- From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers☆88Updated this week
- 📚 Collection of awesome generation acceleration resources.☆225Updated 2 weeks ago
- [ICML2025] Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity☆191Updated last week
- (ToCa-v2) A New version of ToCa,with faster speed and better acceleration!☆32Updated last month
- ☆164Updated 3 months ago
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆147Updated 6 months ago
- An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional var…☆126Updated 2 months ago
- [NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising☆197Updated 2 months ago
- Official PyTorch implementation of paper "CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up".☆203Updated last month
- [ICLR 2025] FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality☆219Updated 4 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆102Updated 9 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆80Updated last month
- ☆77Updated last month
- The code of our work "Golden Noise for Diffusion Models: A Learning Framework".☆154Updated 2 months ago
- [CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Mo…☆63Updated 9 months ago
- Official PyTorch and Diffusers Implementation of "LinFusion: 1 GPU, 1 Minute, 16K Image"☆299Updated 4 months ago
- X2I: Seamless Integration of Multimodal Understanding into Diffusion Transformer via Attention Distillation☆64Updated last month
- An Efficient Text-to-Image Generation Pretrain Pipeline☆103Updated 3 weeks ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆45Updated 10 months ago
- https://wavespeed.ai/ Context parallel attention that accelerates DiT model inference with dynamic caching☆264Updated this week
- [Few-Step Student Surpasses Teacher Diffusion] Learning Few-Step Diffusion Models by Trajectory Distribution Matching☆35Updated last month
- STAR: Scale-wise Text-to-image generation via Auto-Regressive representations☆140Updated 2 months ago
- 【CVPR 2025 Oral】Official Repo for Paper "AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea"☆116Updated last month
- VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning☆237Updated 3 weeks ago
- [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient☆98Updated last month
- [CVPR 2025 Highlight] TinyFusion: Diffusion Transformers Learned Shallow☆113Updated last month
- [ICLR 2025] Official Implementation of Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image…☆307Updated last month
- An open-source toolbox for fast sampling of diffusion models. Official implementations of our works published in ICML, NeurIPS, CVPR.☆281Updated 2 months ago
- ☆94Updated last month
- A collection of diffusion models based on FLUX/DiT for image/video generation, editing, reconstruction, inpainting .etc.☆48Updated this week