MingXiangL / Teacache-xDiTLinks
Combining Teacache with xDiT to Accelerate Visual Generation Models
β31Updated 4 months ago
Alternatives and similar repositories for Teacache-xDiT
Users that are interested in Teacache-xDiT are comparing it to the libraries listed below
Sorting:
- https://wavespeed.ai/ Context parallel attention that accelerates DiT model inference with dynamic cachingβ366Updated last month
- π€An Unified Cache Acceleration Toolbox for DiTs: Qwen-Image, Qwen-Image-Edit, FLUX.1, Wan2.1/2.2, etc.β229Updated this week
- β173Updated 7 months ago
- [ICLR 2025] FasterCache: Training-Free Video Diffusion Model Acceleration with High Qualityβ244Updated 8 months ago
- Light Video Generation Inference Frameworkβ514Updated this week
- [ICML2025] Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsityβ417Updated this week
- Radial Attention Official Implementationβ485Updated 3 weeks ago
- [NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoisingβ205Updated 6 months ago
- [ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Cachingβ173Updated 5 months ago
- [ICCV2025] From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeersβ269Updated 3 weeks ago
- Unofficial extension implementation of Self-Forcing to support I2V && 14B training.β132Updated last month
- Adaptive Caching for Faster Video Generation with Diffusion Transformersβ156Updated 9 months ago
- β223Updated this week
- The official code for "MagCache: Fast Video Generation with Magnitude-Aware Cache"β197Updated last week
- An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional varβ¦β138Updated 2 months ago
- A parallelism VAE avoids OOM for high resolution image generationβ75Updated 3 weeks ago
- Code for Draft Attentionβ90Updated 3 months ago
- VGDFR: Diffuison-based Video Generation with Dynamic Frame Rateβ12Updated 3 months ago
- [ICCV 2025][Few-Step Student Surpasses Teacher Diffusion] Learning Few-Step Diffusion Models by Trajectory Distribution Matchingβ48Updated 2 weeks ago
- πA curated list of Awesome Diffusion Inference Papers with Codes: Sampling, Cache, Quantization, Parallelism, etc.πβ380Updated last week
- Model Compression Toolbox for Large Language Models and Diffusion Modelsβ607Updated 2 weeks ago
- β50Updated last month
- Official PyTorch implementation of paper "CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up".β209Updated 4 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generationβ115Updated 5 months ago
- An out-of-the-box inference acceleration engine for Diffusion and DiT modelsβ53Updated 5 months ago
- β103Updated 9 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantizationβ44Updated 9 months ago
- [CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Modelsβ702Updated 8 months ago
- Wan2.2-Lightning: Speed up wan2.2 model with distillationβ122Updated this week
- A light-weight and high-efficient training framework for accelerating diffusion tasks.β49Updated 11 months ago