Alternatives and similar repositories for Diff-Pruning

Users that are interested in Diff-Pruning are comparing it to the libraries listed below

• 42Shawn / PTQ4DM
  Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)
  ☆141Updated 2 years ago
• ThisisBillhe / EfficientDM
  [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…
  ☆68Updated last year
• A-suozhang / Awesome-Efficient-Diffusion
  Curated list of methods that focuses on improving the efficiency of diffusion models
  ☆44Updated last year
• wlfeng0509 / Awesome-Diffusion-Distillation
  A list of papers, docs, codes about diffusion distillation.This repo collects various distillation methods for the Diffusion model. Welc…
  ☆40Updated 2 years ago
• ziplab / PTQD
  The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models
  ☆103Updated last year
• hatchetProject / QuEST
  [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models
  ☆55Updated 7 months ago
• ruiqixu37 / distill_diffusion
  Implementation of the 2023 CVPR Award Candidate: On Distillation of Guided Diffusion Models
  ☆54Updated 2 years ago
• horseee / learning-to-cache
  [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
  ☆116Updated last year
• Nota-NetsPresso / BK-SDM
  A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]
  ☆312Updated last year
• lilijiangg / AutoDiffusion
  ☆45Updated last year
• hutaiHang / Faster-Diffusion
  [NeurIPS 2024] Official implementation of "Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models"
  ☆350Updated 10 months ago
• Xiuyu-Li / q-diffusion
  [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.
  ☆370Updated last year
• Hramchenko / diffusion_distiller
  🚀 PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)"
  ☆257Updated 3 years ago
• NUS-HPC-AI-Lab / SpeeD
  SpeeD: A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
  ☆189Updated last year
• Juanerx / Q-DiT
  [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
  ☆74Updated last year
• ModelTC / TFMQ-DM
  [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…
  ☆108Updated 4 months ago
• lmxyy / sige
  [NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
  ☆268Updated last year
• YuchuanTian / U-DiT
  [NeurIPS 2024] The official code of "U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers"
  ☆232Updated last year
• mkshing / DiffFit-pytorch
  Implementation of "DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning"
  ☆95Updated 2 years ago
• VainF / TinyFusion
  [CVPR 2025 Highlight] TinyFusion: Diffusion Transformers Learned Shallow
  ☆159Updated 2 months ago
• mingyuanzhou / SiD
  PyTorch code and model checkpoints for Score identity Distillation (SiD) and its adversarial version (SiDA)
  ☆148Updated 10 months ago
• pkulwj1994 / diff_instruct
  official code for Diff-Instruct algorithm for one-step diffusion distillation
  ☆84Updated last year
• czg1225 / CoDe
  [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
  ☆108Updated 4 months ago
• CrossmodalGroup / DynamicVectorQuantization
  Official Pytorch Implementation of Our CVPR2023 Paper: "Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dyna…
  ☆191Updated 2 years ago
• AndyShih12 / paradigms
  PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight
  ☆153Updated 2 years ago
• prathebaselva / FORA
  FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.
  ☆52Updated last year
• qianlong0502 / DKDM
  [CVPR-2025] Official implementations of "DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture".
  ☆33Updated 9 months ago
• Zeqiang-Lai / OpenDMD
  Open source implementation and models of One-step Diffusion with Distribution Matching Distillation
  ☆180Updated last year
• NUS-HPC-AI-Lab / Dynamic-Diffusion-Transformer
  ☆92Updated 10 months ago
• krennic999 / STAR
  STAR: Scale-wise Text-to-image generation via Auto-Regressive representations
  ☆148Updated 11 months ago