Alternatives and similar repositories for TVG

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

• yangqy1110 / NC-SDEdit
  [ECCV 2024] Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models
  ☆87Updated last year
• lmbxmu / CutDiffusion
  CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method
  ☆27Updated last month
• dangeng / motion_guidance
  Code for ICLR 2024 paper "Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators"
  ☆105Updated last year
• QY-H00 / attention-interpolation-diffusion
  [NeurIPS 2024] Official Implementation of Attention Interpolation of Text-to-Image Diffusion
  ☆107Updated 11 months ago
• Young98CN / LoRA_Composer
  LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models
  ☆66Updated last year
• arthur-qiu / FreeNoise-LaVie
  [ICLR 2024] Code for FreeNoise based on LaVie
  ☆33Updated last year
• helia95 / VASE
  ☆14Updated last year
• xiefan-guo / i4vgen
  [arXiv 2024] I4VGen: Image as Free Stepping Stone for Text-to-Video Generation
  ☆24Updated last year
• moatifbutt / color-peel
  we propose to generate a series of geometric shapes with target colors to disentangle (or peel off ) the target colors from the shapes. B…
  ☆68Updated last year
• Sealical / anywhere-multi-agent
  AAAI 2025: Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation
  ☆44Updated last year
• ssyang2020 / ZeroSmooth
  ☆66Updated last year
• KAIST-Visual-AI-Group / Flow-Inference-Time-Scaling
  [NeurIPS 2025] Official code for Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing
  ☆68Updated last month
• hohonu-vicml / DirectedDiffusion
  Directed Diffusion: Direct Control of Object Placement through Attention Guidance (AAAI2024)
  ☆80Updated last year
• wutong16 / FiVA
  [ NeurIPS 2024 D&B Track ] Implementation for "FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models"
  ☆73Updated 10 months ago
• ttchengab / continuous_3d_words_code
  ☆65Updated last year
• yhZhai / mcm
  [NeurIPS 2024] Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
  ☆68Updated last year
• anonymous0x233 / ReuseAndDiffuse
  Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation
  ☆37Updated last year
• louisYen / Gen4Gen
  🏞️ Official implementation of "Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition"
  ☆108Updated last year
• GuoLanqing / Self-Cascade
  [ECCV2024] Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation
  ☆66Updated 7 months ago
• Gen-Verse / Diffusion-Sharpening
  Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening
  ☆67Updated 5 months ago
• mezzelfo / MotionCraft
  Physics-based Zero-Shot Video Generation
  ☆28Updated last year
• haoningwu3639 / MegaFusion
  [WACV 2025] MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning
  ☆96Updated 6 months ago
• ChenHsing / VIDiff
  ☆38Updated last year
• GaParmar / group-inference
  Scalable group inference for generating high quality and diverse images with diffusion models.
  ☆36Updated 2 months ago
• eclipse-t2i / eclipse-inference
  [CVPR 2024] Official PyTorch implementation of "ECLIPSE: Revisiting the Text-to-Image Prior for Efficient Image Generation"
  ☆64Updated last year
• Liuxinyv / HiPrompt
  ☆26Updated 8 months ago
• Litalby1 / make-it-count
  Official implemention of "Make It Count: Text-to-Image Generation with an Accurate Number of Objects" (CVPR 2025)
  ☆94Updated 8 months ago
• PRIS-CV / I-Max
  Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers
  ☆61Updated last year
• KAIST-Visual-AI-Group / GrounDiT
  [NeurIPS 2024] Official Implementation of GrounDiT
  ☆57Updated 11 months ago
• Max-We / sf-zero-signal-to-noise
  Trying to implement https://arxiv.org/abs/2305.08891
  ☆33Updated 2 years ago