thu-nics / DiTFastAttnLinks
☆173Updated 8 months ago
Alternatives and similar repositories for DiTFastAttn
Users that are interested in DiTFastAttn are comparing it to the libraries listed below
Sorting:
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆118Updated 5 months ago
- [ICML2025] Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity☆424Updated 2 weeks ago
- A parallelism VAE avoids OOM for high resolution image generation☆77Updated last month
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆113Updated last year
- [ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Caching☆176Updated 6 months ago
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆157Updated 10 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆48Updated last year
- Code for Draft Attention☆91Updated 3 months ago
- A Unified Cache Acceleration Toolbox for 🤗Diffusers: FLUX.1, Qwen-Image-Edit, Qwen-Image, HunyuanImage-2.1, Wan 2.1/2.2, etc.☆275Updated this week
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆59Updated last year
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆103Updated 2 months ago
- [ICCV2025] From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers☆278Updated last month
- An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional var…☆139Updated 2 months ago
- 📚 Collection of awesome generation acceleration resources.☆328Updated 2 months ago
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆53Updated 2 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆44Updated 9 months ago
- A sparse attention kernel supporting mix sparse patterns☆294Updated 7 months ago
- [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring☆226Updated 2 months ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆92Updated 7 months ago
- High performance inference engine for diffusion models☆88Updated last week
- To pioneer training long-context multi-modal transformer models☆57Updated last month
- (ToCa-v2) A New version of ToCa，with faster speed and better acceleration!☆39Updated 6 months ago
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆54Updated 5 months ago
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆25Updated 5 months ago
- A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training☆502Updated this week
- Official implementation of paper "VMoBA: Mixture-of-Block Attention for Video Diffusion Models"☆43Updated 2 months ago
- FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]☆34Updated last week
- 🎬 3.7× faster video generation E2E 🖼️ 1.6× faster image generation E2E ⚡ ColumnSparseAttn 9.3× vs FlashAttn‑3 💨 ColumnSparseGEMM 2.5× …☆82Updated this week
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆101Updated last year
- 📚A curated list of Awesome Diffusion Inference Papers with Codes: Sampling, Cache, Quantization, Parallelism, etc.🎉☆394Updated 3 weeks ago