xdit-project / DistVAELinks
A parallelism VAE avoids OOM for high resolution image generation
☆85Updated 6 months ago
Alternatives and similar repositories for DistVAE
Users that are interested in DistVAE are comparing it to the libraries listed below
Sorting:
- ☆190Updated last year
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆32Updated last year
- High performance inference engine for diffusion models☆103Updated 5 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆149Updated 10 months ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆95Updated last year
- FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]☆46Updated 2 weeks ago
- A sparse attention kernel supporting mix sparse patterns☆453Updated 3 weeks ago
- SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention☆260Updated 3 weeks ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆49Updated last year
- Code for Draft Attention☆99Updated 8 months ago
- 🎬 3.7× faster video generation E2E 🖼️ 1.6× faster image generation E2E ⚡ ColumnSparseAttn 9.3× vs FlashAttn‑3 💨 ColumnSparseGEMM 2.5× …☆101Updated 5 months ago
- A curated list of recent papers on efficient video attention for video diffusion models, including sparsification, quantization, and cach…☆55Updated 3 months ago
- A Suite for Parallel Inference of Diffusion Transformers (DiTs) on multi-GPU Clusters☆55Updated last year
- [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring☆269Updated 7 months ago
- To pioneer training long-context multi-modal transformer models☆71Updated 6 months ago
- A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training☆631Updated this week
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆74Updated last year
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- ☆449Updated 6 months ago
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆103Updated last year
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆258Updated 6 months ago
- ☆221Updated 2 months ago
- [CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models☆719Updated last year
- An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional var…☆150Updated 7 months ago
- 🤗 A PyTorch-native and Flexible Inference Engine with Hybrid Cache Acceleration and Parallelism for DiTs.☆1,020Updated this week
- https://wavespeed.ai/ Context parallel attention that accelerates DiT model inference with dynamic caching☆418Updated 7 months ago
- 📚A curated list of Awesome Diffusion Inference Papers with Codes: Sampling, Cache, Quantization, Parallelism, etc.🎉☆518Updated 3 weeks ago
- Aiming to integrate most existing feature caching-based diffusion acceleration schemes into a unified framework.☆86Updated 3 months ago
- flex-block-attn: an efficient block sparse attention computation library☆108Updated last month
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆370Updated last year