Alternatives and similar repositories for q-diffusion:

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

• ziplab / PTQD
  The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models
  ☆94Updated 11 months ago
• 42Shawn / PTQ4DM
  Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)
  ☆127Updated last year
• mit-han-lab / deepcompressor
  Model Compression Toolbox for Large Language Models and Diffusion Models
  ☆326Updated this week
• hatchetProject / QuEST
  QuEST: Efficient Finetuning for Low-bit Diffusion Models
  ☆38Updated 3 weeks ago
• VainF / Diff-Pruning
  [NeurIPS 2023] Structural Pruning for Diffusion Models
  ☆175Updated 7 months ago
• thu-nics / ViDiT-Q
  [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
  ☆51Updated this week
• horseee / DeepCache
  [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free
  ☆848Updated 7 months ago
• thu-nics / DiTFastAttn
  ☆143Updated last month
• ModelTC / TFMQ-DM
  [CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Mo…
  ☆60Updated 6 months ago
• mit-han-lab / distrifuser
  [CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
  ☆654Updated 2 months ago
• Nota-NetsPresso / BK-SDM
  A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]
  ☆282Updated 7 months ago
• mit-han-lab / nunchaku
  [ICLR2025 Spotlight] SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
  ☆657Updated this week
• horseee / learning-to-cache
  [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
  ☆92Updated 7 months 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
• DefTruth / Awesome-Diffusion-Inference
  📖A curated list of Awesome Diffusion Inference Papers with codes: Sampling, Caching, Multi-GPUs, etc. 🎉🎉
  ☆187Updated last month
• mit-han-lab / patch_conv
  Patch convolution to avoid large GPU memory usage of Conv2D
  ☆84Updated 3 weeks ago
• xuyang-liu16 / Awesome-Generation-Acceleration
  📚 Collection of awesome generation acceleration resources.
  ☆136Updated this week
• hutaiHang / Faster-Diffusion
  [NeurIPS 2024] Official implementation of "Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models"
  ☆325Updated 3 weeks ago
• Huage001 / LinFusion
  Official PyTorch and Diffusers Implementation of "LinFusion: 1 GPU, 1 Minute, 16K Image"
  ☆289Updated last month
• mit-han-lab / hart
  HART: Efficient Visual Generation with Hybrid Autoregressive Transformer
  ☆416Updated 4 months ago
• ThisisBillhe / EfficientDM
  [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…
  ☆58Updated 8 months ago
• Shenyi-Z / ToCa
  Accelerating Diffusion Transformers with Token-wise Feature Caching
  ☆59Updated 2 weeks ago
• chengzeyi / ParaAttention
  Context parallel attention that accelerates DiT model inference with dynamic caching
  ☆178Updated 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…
  ☆168Updated this week
• zqiu24 / oft
  Official implementation of "Controlling Text-to-Image Diffusion by Orthogonal Finetuning".
  ☆284Updated 3 months ago
• czg1225 / AsyncDiff
  [NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
  ☆177Updated 4 months ago
• huggingface / diffusion-fast
  Faster generation with text-to-image diffusion models.
  ☆209Updated 4 months ago
• xdit-project / DistVAE
  A parallelism VAE avoids OOM for high resolution image generation
  ☆52Updated 3 weeks ago
• AndyShih12 / paradigms
  PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight
  ☆129Updated last year
• ChenMnZ / PrefixQuant
  An algorithm for static activation quantization of LLMs
  ☆113Updated 2 weeks ago