Tele-AI / TeleTronLinks
To pioneer training long-context multi-modal transformer models
☆61Updated 2 months ago
Alternatives and similar repositories for TeleTron
Users that are interested in TeleTron are comparing it to the libraries listed below
Sorting:
- ☆183Updated 9 months ago
- A parallelism VAE avoids OOM for high resolution image generation☆82Updated 3 months ago
- High performance inference engine for diffusion models☆95Updated 2 months ago
- Code for Draft Attention☆92Updated 5 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆49Updated last year
- A Unified Cache Acceleration Framework for 🤗Diffusers: Qwen-Image-Lightning, Qwen-Image, HunyuanImage, Wan, FLUX, etc.☆460Updated last week
- Official implementation of paper "VMoBA: Mixture-of-Block Attention for Video Diffusion Models"☆48Updated 4 months ago
- Code for our ICCV 2025 paper "Adaptive Caching for Faster Video Generation with Diffusion Transformers"☆160Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆46Updated 11 months ago
- FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]☆44Updated last month
- A sparse attention kernel supporting mix sparse patterns☆355Updated 8 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆127Updated 7 months ago
- mllm-npu: training multimodal large language models on Ascend NPUs☆93Updated last year
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- A curated list of recent papers on efficient video attention for video diffusion models, including sparsification, quantization, and cach…☆44Updated last week
- Aiming to integrate most existing feature caching-based diffusion acceleration schemes into a unified framework.☆71Updated last week
- SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention☆119Updated 2 weeks ago
- A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training☆545Updated this week
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆29Updated 7 months ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆93Updated 9 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
- [ICML2025, NeurIPS2025 Spotlight] Sparse VideoGen 1 & 2: Accelerating Video Diffusion Transformers with Sparse Attention☆553Updated last month
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆70Updated last year
- This is the official PyTorch implementation of "BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video Generation."☆30Updated 3 weeks ago
- ☆429Updated 2 months ago
- The official implementation of "Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers" (arXiv …☆48Updated 4 months ago
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆32Updated 11 months ago
- An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional var…☆144Updated 4 months ago
- [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring☆245Updated 3 months ago
- Discrete Diffusion Forcing (D2F): dLLMs Can Do Faster-Than-AR Inference☆185Updated last month