mit-han-lab / patch_conv
Patch convolution to avoid large GPU memory usage of Conv2D
☆84Updated last month
Alternatives and similar repositories for patch_conv:
Users that are interested in patch_conv are comparing it to the libraries listed below
- ☆150Updated 2 months ago
- A parallelism VAE avoids OOM for high resolution image generation☆56Updated last month
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆27Updated 3 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆65Updated 3 weeks ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆104Updated this week
- Quantized Attention on GPU☆45Updated 3 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆33Updated 3 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆40Updated 6 months ago
- A WebUI for Side-by-Side Comparison of Media (Images/Videos) Across Multiple Folders☆21Updated 3 weeks ago
- A sparse attention kernel supporting mix sparse patterns☆161Updated last month
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆157Updated 3 weeks ago
- A Suite for Parallel Inference of Diffusion Transformers (DiTs) on multi-GPU Clusters☆43Updated 7 months ago
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆96Updated last year
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆60Updated 9 months ago
- ☆157Updated last year
- QuEST: Efficient Finetuning for Low-bit Diffusion Models☆41Updated last month
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆39Updated 8 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆97Updated 8 months ago
- ☆64Updated last month
- 16-fold memory access reduction with nearly no loss☆81Updated 3 weeks ago
- Curated list of methods that focuses on improving the efficiency of diffusion models☆38Updated 8 months ago
- pytorch-profiler☆51Updated last year
- IntLLaMA: A fast and light quantization solution for LLaMA☆18Updated last year
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆142Updated 4 months ago
- Odysseus: Playground of LLM Sequence Parallelism☆66Updated 9 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆119Updated last month
- PyTorch bindings for CUTLASS grouped GEMM.☆73Updated 4 months ago
- Official implementation of the ICLR 2024 paper AffineQuant☆24Updated 11 months ago
- Triton implement of bi-directional (non-causal) linear attention☆43Updated last month