nunchaku-tech / deepcompressorLinks
Model Compression Toolbox for Large Language Models and Diffusion Models
☆628Updated last month
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☆373Updated 2 months ago
- SpargeAttention: A training-free sparse attention that can accelerate any model inference.☆709Updated last month
- 📚A curated list of Awesome Diffusion Inference Papers with Codes: Sampling, Cache, Quantization, Parallelism, etc.🎉☆394Updated 3 weeks ago
- Radial Attention Official Implementation☆500Updated last week
- [CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models☆704Updated 9 months ago
- A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training☆502Updated this week
- A Unified Cache Acceleration Toolbox for 🤗Diffusers: FLUX.1, Qwen-Image-Edit, Qwen-Image, HunyuanImage-2.1, Wan 2.1/2.2, etc.☆275Updated this week
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆353Updated last year
- End-to-end recipes for optimizing diffusion models with torchao and diffusers (inference and FP8 training).☆377Updated 3 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆118Updated 5 months ago
- [ICML2025] Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity☆424Updated 2 weeks ago
- [ICCV2025] From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers☆278Updated last month
- Quantized Attention achieves speedup of 2-5x and 3-11x compared to FlashAttention and xformers, without lossing end-to-end metrics across…☆2,352Updated last month
- ☆173Updated 8 months ago
- Combining Teacache with xDiT to Accelerate Visual Generation Models☆31Updated 4 months ago
- A parallelism VAE avoids OOM for high resolution image generation☆77Updated last month
- 🎬 3.7× faster video generation E2E 🖼️ 1.6× faster image generation E2E ⚡ ColumnSparseAttn 9.3× vs FlashAttn‑3 💨 ColumnSparseGEMM 2.5× …☆82Updated this week
- [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free☆927Updated last year
- Light Video Generation Inference Framework☆558Updated this week
- High performance inference engine for diffusion models☆88Updated last week
- A sparse attention kernel supporting mix sparse patterns☆294Updated 7 months ago
- DFloat11: Lossless LLM Compression for Efficient GPU Inference☆536Updated 3 weeks ago
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆557Updated last month
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆753Updated 6 months ago
- Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model☆1,097Updated 3 months ago
- [ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Caching☆176Updated 6 months ago
- ☆75Updated 8 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆422Updated 9 months ago
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆101Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆45Updated 9 months ago