Alternatives and similar repositories for continuous_tokenizer:

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

• YuchuanTian / U-DiT
  [NeurIPS 2024] The official code of "U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers"
  ☆191Updated 5 months ago
• lxa9867 / ImageFolder
  High-performance Image Tokenizers for VAR and AR
  ☆222Updated this week
• OliverRensu / FlowAR
  “FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching” FlowAR employs a simplest scale design and is compatible with an…
  ☆94Updated 2 months ago
• zh460045050 / VQGAN-LC
  ☆119Updated 8 months ago
• lxa9867 / ControlVAR
  This is the official implementation for ControlVAR.
  ☆99Updated 3 months ago
• causalfusion / causalfusion
  ☆144Updated 3 months ago
• markweberdev / maskbit
  Implementation of the paper "MaskBit: Embedding-free Image Generation from Bit Tokens"
  ☆58Updated 3 weeks ago
• G-U-N / Rectified-Diffusion
  [ICLR 2025] Rectified Diffusion: Straightness Is Not Your Need
  ☆201Updated last week
• krennic999 / STAR
  STAR: Scale-wise Text-to-image generation via Auto-Regressive representations
  ☆137Updated last month
• lxa9867 / Awesome-Autoregressive-Visual-Generation
  This is a repo to track the latest autoregressive visual generation papers.
  ☆164Updated last week
• feizc / DiT-MoE
  Scaling Diffusion Transformers with Mixture of Experts
  ☆293Updated 6 months ago
• qihao067 / CrossFlow
  [CVPR2025] PyTorch-based reimplementation of CrossFlow, as proposed in 'Flowing from Words to Pixels: A Framework for Cross-Modality Evol…
  ☆142Updated last week
• zbr17 / OptVQ
  Towards training VQ-VAE models robustly!
  ☆57Updated 2 months ago
• hp-l33 / AiM
  Official PyTorch Implementation of "Scalable Autoregressive Image Generation with Mamba"
  ☆127Updated 2 months ago
• AILab-CVC / CV-VAE
  [NeurIPS 2024] CV-VAE: A Compatible Video VAE for Latent Generative Video Models
  ☆268Updated 3 months ago
• yuanzhi-zhu / SlimFlow
  "SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow", Yuanzhi Zhu, Xingchao Liu, Qiang Liu
  ☆49Updated 3 months ago
• feizc / DiS
  Scalable Diffusion Models with State Space Backbone
  ☆152Updated last year
• MiracleDance / CAR
  CAR: Controllable AutoRegressive Modeling for Visual Generation
  ☆106Updated 3 months ago
• hustvl / LightningDiT
  [CVPR 2025] Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
  ☆512Updated last week
• maple-research-lab / SIM
  Inference-only implementation of "One-Step Diffusion Distillation through Score Implicit Matching" [NIPS 2024]
  ☆77Updated 4 months ago
• hustvl / DiG
  [CVPR 2025] DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention
  ☆156Updated 2 weeks ago
• FoundationVision / vaex
  🔥stable, simple, state-of-the-art VQVAE toolkit & cookbook
  ☆85Updated 8 months ago
• songweige / content-debiased-fvd
  [CVPR 2024] On the Content Bias in Fréchet Video Distance
  ☆103Updated 5 months ago
• baaivision / NOVA
  [ICLR 2025] Autoregressive Video Generation without Vector Quantization
  ☆413Updated this week
• feizc / Dimba
  Transformer-Mamba Diffusion Models
  ☆103Updated 8 months ago
• qihao067 / DiMR
  [NeurIPS 24] Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models
  ☆36Updated 5 months ago