Alternatives and similar repositories for LeanVAE

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

• PKU-YuanGroup / WF-VAE
  [CVPR 2025🔥] Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model
  ☆180Updated 6 months ago
• vvvvvjdy / SRA
  (SRA) No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves
  ☆94Updated 4 months ago
• yuanzhi-zhu / SlimFlow
  [ECCV2024] "SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow", Yuanzhi Zhu, Xingchao Liu, Qiang Liu
  ☆56Updated last year
• WZDTHU / TiM
  Transition Models
  ☆133Updated last month
• maple-research-lab / SIM
  Inference-only implementation of "One-Step Diffusion Distillation through Score Implicit Matching" [NIPS 2024]
  ☆84Updated last year
• lxa9867 / ControlVAR
  This is the official implementation for ControlVAR.
  ☆124Updated 11 months ago
• forever208 / DCTdiff
  [ICML 2025] Official code for the paper 'DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space'
  ☆67Updated 3 months ago
• YuchuanTian / U-DiT
  [NeurIPS 2024] The official code of "U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers"
  ☆224Updated last year
• thu-ml / GFT
  ☆44Updated 5 months ago
• SingleZombie / AFLDM
  [CVPR 2025 Oral] Alias-free Latent Diffusion Models (official implementation)
  ☆101Updated 5 months ago
• mingyuanzhou / SiD-LSG
  Score identity Distillation with Long and Short Guidance for One-Step Text-to-Image Generation
  ☆90Updated 3 weeks ago
• VinAIResearch / SwiftBrush
  SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation (CVPR 2024)
  ☆70Updated 3 months ago
• tzco / Diffusion-wo-CFG
  Official Implementation for Diffusion Models Without Classifier-free Guidance
  ☆163Updated 9 months ago
• markweberdev / maskbit
  Implementation of the paper "MaskBit: Embedding-free Image Generation from Bit Tokens"
  ☆88Updated 7 months ago
• zelaki / eqvae
  [ICML'25] EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling.
  ☆162Updated 5 months ago
• ali-vilab / FACM
  FACM: Flow-Anchored Consistency Models
  ☆129Updated 3 months ago
• hp-l33 / ARPG
  Autoregressive Image Generation with Randomized Parallel Decoding
  ☆81Updated last month
• OliverRensu / xAR
  This repository includes the official implementation of our paper "Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generat…
  ☆237Updated last month
• feizc / DiS
  Scalable Diffusion Models with State Space Backbone
  ☆156Updated last year
• zelaki / ReDi
  [NeurIPS'25 Spotlight] Boosting Generative Image Modeling via Joint Image-Feature Synthesis
  ☆98Updated 3 weeks ago
• NVlabs / HMAR
  [CVPR 2025] HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation
  ☆58Updated 4 months ago
• Zeqiang-Lai / OpenDMD
  Open source implementation and models of One-step Diffusion with Distribution Matching Distillation
  ☆166Updated last year
• End2End-Diffusion / REPA-E
  [ICCV 2025] Official implementation of the paper: REPA-E: Unlocking VAE for End-to-End Tuning of Latent Diffusion Transformers
  ☆407Updated last month
• Davinci-XLab / STAR-T2I
  Official implementation of "STAR: Scale-wise Text-to-image generation via Auto-Regressive representations"
  ☆39Updated 8 months ago
• G-U-N / Rectified-Diffusion
  [ICLR 2025] Rectified Diffusion: Straightness Is Not Your Need
  ☆241Updated 8 months ago
• krennic999 / STAR
  STAR: Scale-wise Text-to-image generation via Auto-Regressive representations
  ☆148Updated 9 months ago
• feizc / Dimba
  Transformer-Mamba Diffusion Models
  ☆116Updated last year
• hp-l33 / AiM
  Official PyTorch Implementation of "Scalable Autoregressive Image Generation with Mamba"
  ☆141Updated 10 months ago
• MiracleDance / CAR
  CAR: Controllable AutoRegressive Modeling for Visual Generation
  ☆125Updated last year
• qihao067 / DiMR
  [NeurIPS 24] Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models
  ☆43Updated last year