Alternatives and similar repositories for STAR-T2I

Users that are interested in STAR-T2I are comparing it to the libraries listed below

• lxa9867 / ControlVAR
  This is the official implementation for ControlVAR.
  ☆125Updated last year
• maxin-cn / Awesome-Autoregressive-Visual-Generation-Models
  a collection of awesome autoregressive visual generation models
  ☆79Updated 9 months ago
• MiracleDance / CAR
  CAR: Controllable AutoRegressive Modeling for Visual Generation
  ☆128Updated last year
• aHapBean / VideoREPA
  [NeurIPS 2025] VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
  ☆157Updated last month
• yuhuUSTC / FAR
  Frequency Autoregressive Image Generation with Continuous Tokens
  ☆94Updated 8 months ago
• KlingTeam / DiffMoE
  Official PyTorch implementation of DiffMoE, TC-DiT, EC-DiT and Dense DiT
  ☆163Updated 3 months ago
• Jiawei-Yang / DeTok
  Official PyTorch Implementation of "Latent Denoising Makes Good Visual Tokenizers"
  ☆172Updated last month
• SAIS-FUXI / Omni-Video
  ☆100Updated 2 weeks ago
• wusize / Harmon
  [ICCV2025]Code Release of Harmonizing Visual Representations for Unified Multimodal Understanding and Generation
  ☆186Updated 8 months ago
• aim-uofa / OIR
  [ICLR 2024] Official PyTorch/Diffusers implementation of "Object-aware Inversion and Reassembly for Image Editing"
  ☆88Updated last year
• wyf0912 / AREdit
  Training-Free Text-Guided Image Editing Using Visual Autoregressive Model
  ☆70Updated 9 months ago
• ziqipang / RandAR
  [CVPR 2025 (Oral)] Open implementation of "RandAR"
  ☆206Updated 6 months ago
• Martinser / REG
  [NeurIPS 2025 Oral] Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think
  ☆242Updated 4 months ago
• jacklishufan / Reflect-DiT
  Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context Reflection
  ☆55Updated 5 months ago
• Zehong-Ma / PixelGen
  Official repository for “PixelGen: Pixel Diffusion Beats Latent Diffusion with Perceptual Loss”
  ☆103Updated this week
• daixiangzi / VAR-CLIP
  Implements VAR+CLIP for text-to-image (T2I) generation
  ☆147Updated last year
• showlab / FAR
  Code for: "Long-Context Autoregressive Video Modeling with Next-Frame Prediction"
  ☆292Updated 9 months ago
• vvvvvjdy / SRA
  [ICLR 2026] Self-Representation Alignment for Diffusion Transformers (SRA)
  ☆110Updated 2 weeks ago
• illume-unified-mllm / ILLUME_plus
  ☆123Updated 5 months ago
• KaiyueSun98 / T2V-CompBench
  [CVPR 2025] T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation
  ☆104Updated 3 months ago
• czg1225 / CoDe
  [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
  ☆108Updated 4 months ago
• PKU-YuanGroup / UAE
  Official repository for the UAE paper, unified-GRPO, and unified-Bench
  ☆156Updated 4 months ago
• KwonGihyun / TweedieMix
  Official source codes of "TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation" (ICLR 2025)
  ☆62Updated last year
• wusize / OpenUni
  ☆176Updated 7 months ago
• YuqingWang1029 / PAR
  [CVPR2025 Highlight] PAR: Parallelized Autoregressive Visual Generation. https://yuqingwang1029.github.io/PAR-project
  ☆184Updated 10 months ago
• yhZhai / mcm
  [NeurIPS 2024] Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
  ☆70Updated last year
• zijieli-Jlee / Dual-Diffusion
  Code for D-DiT
  ☆57Updated 10 months ago
• pittisl / PhyT2V
  official code repo of CVPR 2025 paper PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation
  ☆60Updated 6 months ago
• krennic999 / STAR
  STAR: Scale-wise Text-to-image generation via Auto-Regressive representations
  ☆148Updated 11 months ago
• NVlabs / HMAR
  [CVPR 2025] HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation
  ☆61Updated 7 months ago