nunchaku-ai / deepcompressorLinks
Model Compression Toolbox for Large Language Models and Diffusion Models
☆753Updated 5 months ago
Alternatives and similar repositories for deepcompressor
Users that are interested in deepcompressor are comparing it to the libraries listed below
Sorting:
- https://wavespeed.ai/ Context parallel attention that accelerates DiT model inference with dynamic caching☆422Updated 7 months ago
- [ICML2025] SpargeAttention: A training-free sparse attention that accelerates any model inference.☆927Updated last month
- [CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models☆721Updated last year
- 🤗 A PyTorch-native and Flexible Inference Engine with Hybrid Cache Acceleration and Parallelism for DiTs.☆1,020Updated this week
- 📚A curated list of Awesome Diffusion Inference Papers with Codes: Sampling, Cache, Quantization, Parallelism, etc.🎉☆518Updated 3 weeks ago
- [NeurIPS 2025] Radial Attention: O(nlogn) Sparse Attention with Energy Decay for Long Video Generation☆581Updated 3 months ago
- End-to-end recipes for optimizing diffusion models with torchao and diffusers (inference and FP8 training).☆392Updated last month
- [ICML2025, NeurIPS2025 Spotlight] Sparse VideoGen 1 & 2: Accelerating Video Diffusion Transformers with Sparse Attention☆627Updated last week
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆149Updated 10 months ago
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆370Updated last year
- A sparse attention kernel supporting mix sparse patterns☆453Updated 3 weeks ago
- A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training☆631Updated this week
- [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free☆952Updated last year
- [ICCV2025] From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers☆365Updated 6 months ago
- ☆190Updated last year
- A parallelism VAE avoids OOM for high resolution image generation☆85Updated 6 months ago
- Combining Teacache with xDiT to Accelerate Visual Generation Models☆32Updated 9 months ago
- [ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-t…☆3,137Updated 3 weeks ago
- Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model☆1,254Updated 8 months ago
- https://wavespeed.ai/ Best inference performance optimization framework for HuggingFace Diffusers on NVIDIA GPUs.☆1,299Updated 10 months ago
- DFloat11 [NeurIPS '25]: Lossless Compression of LLMs and DiTs for Efficient GPU Inference☆603Updated 2 months ago
- VGDFR: Diffuison-based Video Generation with Dynamic Frame Rate☆16Updated 8 months ago
- High performance inference engine for diffusion models☆103Updated 5 months ago
- SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention☆264Updated 3 weeks ago
- ☆282Updated last year
- Flux diffusion model implementation using quantized fp8 matmul & remaining layers use faster half precision accumulate, which is ~2x fast…☆284Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆49Updated last year
- 🎬 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
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆643Updated 3 weeks ago
- PyTorch half precision gemm lib w/ fused optional bias + optional relu/gelu☆78Updated last year