Tele-AI / TeleTronLinks
To pioneer training long-context multi-modal transformer models
☆38Updated this week
Alternatives and similar repositories for TeleTron
Users that are interested in TeleTron are comparing it to the libraries listed below
Sorting:
- ☆167Updated 4 months ago
- A parallelism VAE avoids OOM for high resolution image generation☆64Updated 4 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆46Updated 10 months ago
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆146Updated 7 months ago
- [ICML2025] Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity☆292Updated last week
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆98Updated 2 months ago
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆30Updated 6 months ago
- mllm-npu: training multimodal large language models on Ascend NPUs☆90Updated 9 months ago
- An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional var…☆128Updated 3 months ago
- ☆144Updated this week
- XAttention: Block Sparse Attention with Antidiagonal Scoring☆158Updated 3 weeks ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆104Updated 10 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆50Updated 9 months ago
- (ToCa-v2) A New version of ToCa，with faster speed and better acceleration!☆37Updated 2 months ago
- A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training☆376Updated this week
- 📚 Collection of awesome generation acceleration resources.☆257Updated last month
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆21Updated 2 months ago
- Accelerating Diffusion Transformers with Token-wise Feature Caching☆152Updated 2 months ago
- VeOmni: Scaling any Modality Model Training to any Accelerators with PyTorch native Training Framework☆339Updated 3 weeks ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆87Updated 4 months ago
- ✈️ Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints☆67Updated 2 months ago
- A Suite for Parallel Inference of Diffusion Transformers (DiTs) on multi-GPU Clusters☆45Updated 10 months ago
- Official PyTorch implementation of the paper "dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching" (dLLM-Cache…☆72Updated this week
- A light-weight and high-efficient training framework for accelerating diffusion tasks.☆48Updated 8 months ago
- A sparse attention kernel supporting mix sparse patterns☆222Updated 3 months ago
- 📚A curated list of Awesome Diffusion Inference Papers with codes: Sampling, Caching, Multi-GPUs, etc. 🎉🎉☆251Updated last week
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆42Updated 6 months ago
- A WebUI for Side-by-Side Comparison of Media (Images/Videos) Across Multiple Folders☆24Updated 3 months ago
- Code for Draft Attention☆32Updated 2 weeks ago
- SpeeD: A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training☆178Updated 4 months ago