☆192Jan 14, 2025Updated last year
Alternatives and similar repositories for DiTFastAttn
Users that are interested in DiTFastAttn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆56Jul 8, 2024Updated 2 years ago
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆34Nov 29, 2024Updated last year
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆169Mar 21, 2025Updated last year
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆125Jul 15, 2024Updated 2 years ago
- [ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Caching☆225Mar 14, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for our ICCV 2025 paper "Adaptive Caching for Faster Video Generation with Diffusion Transformers"☆173Nov 5, 2024Updated last year
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆81Sep 3, 2024Updated 2 years ago
- xDiT: A Scalable Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism☆2,739Updated this week
- [WIP] Better (FP8) attention for Hopper☆33Aug 21, 2026Updated last month
- A parallelism VAE avoids OOM for high resolution image generation☆96Aug 20, 2026Updated last month
- [ICML2025, NeurIPS2025 Spotlight] Sparse VideoGen 1 & 2: Accelerating Video Diffusion Transformers with Sparse Attention☆709Jul 4, 2026Updated 3 months ago
- https://wavespeed.ai/ Context parallel attention that accelerates DiT model inference with dynamic caching☆435Jul 5, 2025Updated last year
- [ICML2025] SpargeAttention: A training-free sparse attention that accelerates any model inference.☆1,263Feb 25, 2026Updated 7 months ago
- [ICLR 2025] FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality☆268Dec 27, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Implementation of SmoothCache, a project aimed at speeding-up Diffusion Transformer (DiT) based GenAI models with error-guided caching.☆48Jul 17, 2025Updated last year
- [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring☆285Jul 6, 2025Updated last year
- Model Compression Toolbox for Large Language Models and Diffusion Models☆801Aug 14, 2025Updated last year
- T-GATE: Temporally Gating Attention to Accelerate Diffusion Model for Free!☆419Feb 26, 2025Updated last year
- 📚 Collection of awesome generation acceleration resources.☆403Jul 7, 2025Updated last year
- [NeurIPS 2025] Official PyTorch implementation of paper "CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up".☆219Sep 27, 2025Updated last year
- Quantized Attention on GPU☆45Nov 22, 2024Updated last year
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆62Jun 26, 2025Updated last year
- The official implementation of "Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers" (arXiv …☆53Jun 6, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising☆215Sep 27, 2025Updated last year
- Official implementation of paper "VMoBA: Mixture-of-Block Attention for Video Diffusion Models"☆65Jul 1, 2025Updated last year
- Code for Draft Attention☆104May 22, 2025Updated last year
- 📚A curated list of Awesome Diffusion Inference Papers with Codes: Sampling, Cache, Quantization, Parallelism, etc.🎉☆591Jun 13, 2026Updated 4 months ago
- [CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models☆731Dec 2, 2024Updated last year
- VideoSys: An easy and efficient system for video generation☆2,025Aug 27, 2025Updated last year
- A CUDA kernel for NHWC GroupNorm for PyTorch☆26Nov 15, 2024Updated last year
- [CVPR 2025] The official implementation of "CacheQuant: Comprehensively Accelerated Diffusion Models"☆51Nov 2, 2025Updated 11 months ago
- End-to-end recipes for optimizing diffusion models with torchao and diffusers (inference and FP8 training).☆398Jan 8, 2026Updated 9 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [ICCV2025] From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers☆418Mar 2, 2026Updated 7 months ago
- [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free☆968Jun 27, 2024Updated 2 years ago
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆696Sep 16, 2026Updated last month
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆52Mar 25, 2025Updated last year
- Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model☆1,385Jun 8, 2025Updated last year
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆103Mar 12, 2024Updated 2 years ago
- (WIP) Parallel inference for black-forest-labs' FLUX model.☆19Nov 18, 2024Updated last year