Alternatives and similar repositories for q-diffusion:

Users that are interested in q-diffusion are comparing it to the libraries listed below

• 42Shawn / PTQ4DM
  Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)
  ☆132Updated last year
• ziplab / PTQD
  The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models
  ☆96Updated last year
• ModelTC / TFMQ-DM
  [CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Mo…
  ☆62Updated 7 months ago
• mit-han-lab / deepcompressor
  Model Compression Toolbox for Large Language Models and Diffusion Models
  ☆370Updated 3 weeks ago
• VainF / Diff-Pruning
  [NeurIPS 2023] Structural Pruning for Diffusion Models
  ☆182Updated 8 months ago
• thu-nics / ViDiT-Q
  [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
  ☆59Updated 2 weeks ago
• hatchetProject / QuEST
  QuEST: Efficient Finetuning for Low-bit Diffusion Models
  ☆41Updated last month
• mit-han-lab / distrifuser
  [CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
  ☆662Updated 3 months ago
• thu-nics / DiTFastAttn
  ☆150Updated 2 months ago
• Nota-NetsPresso / BK-SDM
  A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]
  ☆284Updated 8 months ago
• ThisisBillhe / EfficientDM
  [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…
  ☆60Updated 9 months ago
• horseee / DeepCache
  [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free
  ☆864Updated 8 months ago
• thu-nics / MixDQ
  [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
  ☆33Updated 3 months ago
• xuyang-liu16 / Awesome-Generation-Acceleration
  📚 Collection of awesome generation acceleration resources.
  ☆173Updated this week
• hutaiHang / Faster-Diffusion
  [NeurIPS 2024] Official implementation of "Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models"
  ☆327Updated last month
• horseee / learning-to-cache
  [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
  ☆97Updated 8 months ago
• DefTruth / Awesome-Diffusion-Inference
  📖A curated list of Awesome Diffusion Inference Papers with codes: Sampling, Caching, Multi-GPUs, etc. 🎉🎉
  ☆197Updated last month
• chengzeyi / ParaAttention
  Context parallel attention that accelerates DiT model inference with dynamic caching
  ☆210Updated this week
• mit-han-lab / patch_conv
  Patch convolution to avoid large GPU memory usage of Conv2D
  ☆85Updated last month
• Shenyi-Z / ToCa
  Accelerating Diffusion Transformers with Token-wise Feature Caching
  ☆105Updated this week
• Efficient-ML / Awesome-Efficient-AIGC
  A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including languag…
  ☆174Updated last month
• Huage001 / LinFusion
  Official PyTorch and Diffusers Implementation of "LinFusion: 1 GPU, 1 Minute, 16K Image"
  ☆293Updated 2 months ago
• mit-han-lab / hart
  HART: Efficient Visual Generation with Hybrid Autoregressive Transformer
  ☆420Updated 4 months ago
• lmxyy / sige
  [NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
  ☆264Updated 11 months ago
• AndyShih12 / paradigms
  PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight
  ☆132Updated last year
• ethansmith2000 / ImprovedTokenMerge
  ☆49Updated last year
• adreamwu / PTQ4DiT
  PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005
  ☆25Updated 4 months ago
• Hramchenko / diffusion_distiller
  🚀 PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)"
  ☆234Updated 2 years ago
• A-suozhang / Awesome-Efficient-Diffusion
  Curated list of methods that focuses on improving the efficiency of diffusion models
  ☆38Updated 8 months ago