Alternatives and similar repositories for BiDM

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

• StargazerX0 / ScaleKV
  [NeurIPS 2025] ScaleKV: Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression
  ☆51Updated last month
• czg1225 / CoDe
  [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
  ☆108Updated 3 months ago
• ThisisBillhe / ZipAR
  [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…
  ☆53Updated 9 months ago
• csguoh / FastVAR
  [ICCV2025]Generate one 2K image on single 24GB 3090 GPU!
  ☆81Updated 3 months ago
• ModelTC / TFMQ-DM
  [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…
  ☆108Updated 3 months ago
• csguoh / IntLoRA
  [ICML2025] LoRA fine-tune directly on the quantized models.
  ☆39Updated last year
• Tammytcl / Awesome-Diffusion-Acceleration-Cache
  A curated list of research papers, resources, and advancements on Diffusion Cache and related efficient diffusion model acceleration tech…
  ☆63Updated last month
• LINs-lab / GMem
  [Preprint] GMem: A Modular Approach for Ultra-Efficient Generative Models
  ☆40Updated 9 months ago
• horseee / learning-to-cache
  [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
  ☆116Updated last year
• Zehong-Ma / DeCo
  Official repository for “DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation”
  ☆146Updated this week
• xie-lab-ml / Weak-to-Strong-Diffusion-with-Reflection
  The official code of "Weak-to-Strong Diffusion with Reflection".
  ☆55Updated 7 months ago
• Peyton-Chen / Sparse-vDiT
  The official implementation of "Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers" (arXiv …
  ☆50Updated 6 months ago
• VainF / TinyFusion
  [CVPR 2025 Highlight] TinyFusion: Diffusion Transformers Learned Shallow
  ☆153Updated last month
• shallowdream204 / DiCo
  [NeurIPS 2025 Spotlight] DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling
  ☆60Updated 2 months ago
• byeongjun-park / Switch-DiT
  [ECCV 2024] Official pytorch implementation of "Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts"
  ☆47Updated last year
• hp-l33 / ARPG
  Autoregressive Image Generation with Randomized Parallel Decoding
  ☆81Updated 2 months ago
• XianfengWu01 / LightGen
  An Efficient Text-to-Image Generation Pretrain Pipeline
  ☆127Updated 8 months ago
• Bujiazi / DiCache
  Official implementation of DiCache: Let Diffusion Model Determine Its Own Cache
  ☆54Updated 2 months ago
• Lucky-Lance / TerDiT
  TerDiT: Ternary Diffusion Models with Transformers
  ☆73Updated last year
• Shenyi-Z / DuCa
  (ToCa-v2) A New version of ToCa，with faster speed and better acceleration!
  ☆38Updated 9 months ago
• AdaCache-DiT / AdaCache
  Code for our ICCV 2025 paper "Adaptive Caching for Faster Video Generation with Diffusion Transformers"
  ☆163Updated last year
• Xingyu-Zheng / BinaryDM
  (ICLR 2025) BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
  ☆26Updated last year
• mit-han-lab / lpd
  Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation
  ☆80Updated 5 months ago
• ignoww / ZOODiP
  [CVPR 2025] Efficient Personalization of Quantized Diffusion Model without Backpropagation
  ☆15Updated 9 months ago
• prathebaselva / FORA
  FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.
  ☆52Updated last year
• NUS-HPC-AI-Lab / Dynamic-Diffusion-Transformer
  ☆91Updated 9 months ago
• xie-lab-ml / CoRe2
  The official implementation of our paper "CoRe^2: Collect, Reflect and Refine to Generate Better and Faster".
  ☆29Updated 9 months ago
• INV-WZQ / SparseD
  [Arxiv 2025] SparseD: Sparse Attention for Diffusion Language Models
  ☆53Updated 2 months ago
• czg1225 / VeriThinker
  [NeurIPS 2025] VeriThinker: Learning to Verify Makes Reasoning Model Efficient
  ☆63Updated 3 months ago
• WZDTHU / TiM
  Transition Models
  ☆140Updated 2 months ago