Tele-AI / TeleTronLinks
To pioneer training long-context multi-modal transformer models
☆58Updated 2 months ago
Alternatives and similar repositories for TeleTron
Users that are interested in TeleTron are comparing it to the libraries listed below
Sorting:
- Code for Draft Attention☆91Updated 4 months ago
- ☆180Updated 9 months ago
- A Unified Cache Acceleration Framework for 🤗 Diffusers: Qwen-Image-Lightning, Qwen-Image, HunyuanImage, FLUX, Wan, etc.☆396Updated this week
- A parallelism VAE avoids OOM for high resolution image generation☆81Updated 2 months ago
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆159Updated 11 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆49Updated last year
- High performance inference engine for diffusion models☆94Updated last month
- Official implementation of paper "VMoBA: Mixture-of-Block Attention for Video Diffusion Models"☆46Updated 3 months ago
- A light-weight and high-efficient training framework for accelerating diffusion tasks.☆49Updated last year
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- [ICML2025, NeurIPS2025 Spotlight] Sparse VideoGen 1 & 2: Accelerating Video Diffusion Transformers with Sparse Attention☆505Updated last week
- The official implementation of "Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers" (arXiv …☆46Updated 4 months ago
- FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]☆43Updated last month
- mllm-npu: training multimodal large language models on Ascend NPUs☆92Updated last year
- A curated list of recent papers on efficient video attention for video diffusion models, including sparsification, quantization, and cach…☆41Updated last month
- Patch convolution to avoid large GPU memory usage of Conv2D☆92Updated 8 months ago
- This is the official repo for the paper "Accelerating Parallel Sampling of Diffusion Models" Tang et al. ICML 2024 https://openreview.net…☆16Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆45Updated 10 months ago
- SpeeD: A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training☆183Updated 8 months ago
- A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training☆530Updated this week
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆32Updated 10 months ago
- Official implementation of DiCache: Let Diffusion Model Determine Its Own Cache☆45Updated last week
- This is the official PyTorch implementation of "BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video Generation."☆29Updated this week
- An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional var…☆143Updated 3 months ago
- SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention☆65Updated this week
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆66Updated last year
- [ICCV2025] From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers☆302Updated 2 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆124Updated 6 months ago
- A sparse attention kernel supporting mix sparse patterns☆315Updated 8 months ago
- Implementation of SmoothCache, a project aimed at speeding-up Diffusion Transformer (DiT) based GenAI models with error-guided caching.☆45Updated 2 months ago