Alternatives and similar repositories for CoDe

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

• hp-l33 / ARPG
  Autoregressive Image Generation with Randomized Parallel Decoding
  ☆77Updated 6 months ago
• Martinser / REG
  [NeurIPS 2025 Oral] Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think
  ☆140Updated last week
• thu-ml / CCA
  Codes accompanying the paper "Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment"
  ☆36Updated 8 months ago
• lxa9867 / ControlVAR
  This is the official implementation for ControlVAR.
  ☆121Updated 10 months ago
• VainF / TinyFusion
  [CVPR 2025 Highlight] TinyFusion: Diffusion Transformers Learned Shallow
  ☆142Updated 6 months ago
• ThisisBillhe / ZipAR
  [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…
  ☆53Updated 6 months ago
• NUS-HPC-AI-Lab / Dynamic-Diffusion-Transformer
  ☆87Updated 6 months ago
• krennic999 / STAR
  STAR: Scale-wise Text-to-image generation via Auto-Regressive representations
  ☆146Updated 7 months ago
• MiracleDance / CAR
  CAR: Controllable AutoRegressive Modeling for Visual Generation
  ☆121Updated 10 months ago
• yu-rp / Dimple
  Dimple, the first Discrete Diffusion Multimodal Large Language Model
  ☆101Updated 3 months ago
• YuqingWang1029 / PAR
  [CVPR2025 Highlight] PAR: Parallelized Autoregressive Visual Generation. https://yuqingwang1029.github.io/PAR-project
  ☆175Updated 6 months ago
• maxin-cn / Awesome-Autoregressive-Visual-Generation-Models
  a collection of awesome autoregressive visual generation models
  ☆77Updated 5 months ago
• LINs-lab / GMem
  [Preprint] GMem: A Modular Approach for Ultra-Efficient Generative Models
  ☆39Updated 7 months ago
• daixiangzi / VAR-CLIP
  Implements VAR+CLIP for text-to-image (T2I) generation
  ☆147Updated 8 months ago
• lukaslaobeyer / token-opt
  Code for ICML 2025 Paper "Highly Compressed Tokenizer Can Generate Without Training"
  ☆177Updated 4 months ago
• byeongjun-park / DTR
  [ICLR 2024] Official pytorch implementation of "Denoising Task Routing for Diffusion Models"
  ☆24Updated last year
• vvvvvjdy / SRA
  (SRA) No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves
  ☆90Updated 2 months ago
• lxa9867 / ImageFolder
  High-performance Image Tokenizers for VAR and AR
  ☆290Updated 5 months ago
• PKU-YuanGroup / WISE
  WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation
  ☆152Updated 2 weeks ago
• mit-han-lab / lpd
  Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation
  ☆71Updated 2 months ago
• hywang66 / LARP
  Official Pytorch implementation for LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior (ICLR 2025 Oral).
  ☆92Updated 8 months ago
• NVlabs / HMAR
  [CVPR 2025] HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation
  ☆52Updated 3 months ago
• wusize / Harmon
  [ICCV2025]Code Release of Harmonizing Visual Representations for Unified Multimodal Understanding and Generation
  ☆171Updated 4 months ago
• OliverRensu / xAR
  This repository includes the official implementation of our paper "Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generat…
  ☆237Updated 5 months ago
• CompVis / discrete-interpolants
  The official implementation of "[MASK] is All You Need"
  ☆125Updated 2 months ago
• ziqipang / RandAR
  [CVPR 2025 (Oral)] Open implementation of "RandAR"
  ☆196Updated 2 months ago
• csguoh / FastVAR
  [ICCV2025]Generate one 2K image on single 3090 GPU!
  ☆69Updated last month
• byeongjun-park / Switch-DiT
  [ECCV 2024] Official pytorch implementation of "Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts"
  ☆46Updated last year
• MonoFormer / MonoFormer
  The official implementation for "MonoFormer: One Transformer for Both Diffusion and Autoregression"
  ☆86Updated 11 months ago
• horseee / learning-to-cache
  [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
  ☆116Updated last year