Alternatives and similar repositories for DistVAE:

Users that are interested in DistVAE are comparing it to the libraries listed below

• thu-nics / DiTFastAttn
  ☆144Updated last month
• xdit-project / DiTCacheAnalysis
  An auxiliary project analysis of the characteristics of KV in DiT Attention.
  ☆25Updated 2 months ago
• thu-nics / ViDiT-Q
  [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
  ☆55Updated last week
• mit-han-lab / patch_conv
  Patch convolution to avoid large GPU memory usage of Conv2D
  ☆85Updated 3 weeks ago
• PipeFusion / PipeFusion
  A Suite for Parallel Inference of Diffusion Transformers (DiTs) on multi-GPU Clusters
  ☆39Updated 6 months ago
• Shenyi-Z / ToCa
  Accelerating Diffusion Transformers with Token-wise Feature Caching
  ☆62Updated 2 weeks ago
• thu-nics / MixDQ
  [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
  ☆32Updated 2 months ago
• mit-han-lab / VisCompare
  A WebUI for Side-by-Side Comparison of Media (Images/Videos) Across Multiple Folders
  ☆19Updated 3 weeks ago
• NVlabs / COAT
  ☆87Updated this week
• horseee / learning-to-cache
  [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
  ☆92Updated 7 months ago
• mit-han-lab / Block-Sparse-Attention
  A sparse attention kernel supporting mix sparse patterns
  ☆133Updated last week
• AdaCache-DiT / AdaCache
  Adaptive Caching for Faster Video Generation with Diffusion Transformers
  ☆142Updated 3 months ago
• TencentARC / mllm-npu
  mllm-npu: training multimodal large language models on Ascend NPUs
  ☆90Updated 5 months ago
• chengzeyi / ParaAttention
  Context parallel attention that accelerates DiT model inference with dynamic caching
  ☆189Updated this week
• mit-han-lab / deepcompressor
  Model Compression Toolbox for Large Language Models and Diffusion Models
  ☆330Updated this week
• DefTruth / Awesome-Diffusion-Inference
  📖A curated list of Awesome Diffusion Inference Papers with codes: Sampling, Caching, Multi-GPUs, etc. 🎉🎉
  ☆189Updated last month
• chengzeyi / piflux
  (WIP) Parallel inference for black-forest-labs' FLUX model.
  ☆17Updated 3 months ago
• prathebaselva / FORA
  FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.
  ☆35Updated 7 months ago
• feifeibear / ChituAttention
  Quantized Attention on GPU
  ☆34Updated 2 months ago
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆89Updated this week
• bytedance / AffineQuant
  Official implementation of the ICLR 2024 paper AffineQuant
  ☆24Updated 10 months ago
• xuyang-liu16 / Awesome-Generation-Acceleration
  📚 Collection of awesome generation acceleration resources.
  ☆139Updated this week
• ziplab / PTQD
  The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models
  ☆94Updated 11 months ago
• andy-yang-1 / DoubleSparse
  16-fold memory access reduction with nearly no loss
  ☆77Updated this week
• INT-FlashAttention2024 / INT-FlashAttention
  ☆61Updated 3 weeks ago
• DefTruth / hgemm-tensorcores-mma
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆52Updated 2 weeks ago
• KONAKONA666 / q8_kernels
  ☆59Updated last month
• hatchetProject / QuEST
  QuEST: Efficient Finetuning for Low-bit Diffusion Models
  ☆38Updated 3 weeks ago