Alternatives and similar repositories for QuEST

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

• ThisisBillhe / EfficientDM
  [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…
  ☆66Updated last year
• ziplab / PTQD
  The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models
  ☆100Updated last year
• thu-nics / ViDiT-Q
  [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
  ☆123Updated 6 months ago
• Juanerx / Q-DiT
  [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
  ☆66Updated last year
• ModelTC / TFMQ-DM
  [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…
  ☆104Updated last week
• 42Shawn / PTQ4DM
  Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)
  ☆139Updated 2 years ago
• A-suozhang / Awesome-Efficient-Diffusion
  Curated list of methods that focuses on improving the efficiency of diffusion models
  ☆45Updated last year
• horseee / learning-to-cache
  [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
  ☆116Updated last year
• thu-nics / MixDQ
  [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
  ☆45Updated 10 months ago
• thu-nics / DiTFastAttn
  ☆179Updated 8 months ago
• A-suozhang / ViDiT-Q
  ☆14Updated 6 months ago
• BienLuky / EDA-DM
  The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"
  ☆15Updated 3 months ago
• VainF / Diff-Pruning
  [NeurIPS 2023] Structural Pruning for Diffusion Models
  ☆201Updated last year
• VainF / MaskLLM-4V
  Learnable Semi-structured Sparsity for Vision Transformers and Diffusion Transformers
  ☆14Updated 8 months ago
• Xiuyu-Li / q-diffusion
  [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.
  ☆356Updated last year
• adreamwu / PTQ4DiT
  PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005
  ☆33Updated 11 months ago
• shawnricecake / draft-attention
  Code for Draft Attention
  ☆90Updated 4 months ago
• A-suozhang / MixDQ
  [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
  ☆14Updated 10 months ago
• ThisisBillhe / torch_quantizer
  torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.
  ☆22Updated last year
• JunyiWuCode / QuantCache
  [ICCV 2025] QuantCache：Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation
  ☆13Updated last week
• Hsu1023 / DuQuant
  [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.
  ☆171Updated last year
• prathebaselva / FORA
  FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.
  ☆49Updated last year
• thu-nics / MBQ
  The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"
  ☆59Updated 6 months ago
• TZW1998 / ParaTAA-Diffusion
  This is the official repo for the paper "Accelerating Parallel Sampling of Diffusion Models" Tang et al. ICML 2024 https://openreview.net…
  ☆16Updated last year
• mit-han-lab / patch_conv
  Patch convolution to avoid large GPU memory usage of Conv2D
  ☆92Updated 8 months ago
• Intelligent-Computing-Lab-Panda / GPTAQ
  Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)
  ☆65Updated 2 months ago
• ThisisBillhe / ZipAR
  [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…
  ☆54Updated 6 months ago
• horseee / dKV-Cache
  [NeurIPS'25] dKV-Cache: The Cache for Diffusion Language Models
  ☆103Updated 4 months ago
• z-lab / sparselora
  [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity
  ☆57Updated 3 months ago
• Shenyi-Z / ToCa
  [ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Caching
  ☆185Updated 6 months ago