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GeezerVison is showing github.com β€” Vchitect

README.md

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Welcome to the Vchitect homepage. Vchitect is mainly developed by Shanghai AI Laboratory. We keep working in the field of video generation, open-sourcing the models, benchmark suites, and efficient training tools.

πŸ”₯ Updates

Vchitect 2.0

  • [09/2024] We release Vchitect 2.0, including the model and the training system
    • Model:
      • Vchitect-2.0 is a high-quality video generative model with 2 billion parameters, supporting resolutions up to 720x480 and video durations of 10-20 seconds.
      • VEnhancer is a generative space-time enhancement framework. It integrates super-resolution, frame interpolation, and video refinement to elevate the video quality to 2K resolution at 24 FPS.
    • System:
      • LiteGen is a lightweight and highly efficient training framework for diffusion tasks. It supports sequence lengths of up to 1.63 million tokens using 8x NVIDIA A100 GPU cards during the training of the Vchitect-2.0 model.
      • FasterCache is a training-free method for accelerating video sampling in diffusion transformers.
    • Evaluation:
      • VBench is a comprehensive benchmark suite for video generative models, covering 56 text-to-video generation models.
      • VBench++ further supports image-to-video evaluation, with an Image Suite of high-resolution images and adaptive aspect ratios. It also focuses on trustworthiness of video generative models like fairness, bias, and safety.
      • Evaluation Agent is an efficient evaluation paradigm for visual generative models. It uses dynamic multi-round evaluations, reducing evaluation time to 10% of traditional methods while ensuring efficiency, customization, and explainability.

🎁 Model

  • πŸŽ‰ [new] Vchitect-2.0: A high-quality video generation video with resolutions up to 720x480 and video durations of 10-20 seconds.
  • πŸŽ‰ [new] VEnhancer: A generative space-time enhancement framework that can improve the existing T2V results.

πŸš€ System

  • πŸŽ‰ [new] FasterCache: A training-free method for accelerating video sampling in diffusion transformers.
  • πŸŽ‰ [new] LiteGen: A light-weight and high-efficient training framework for accelerating diffusion tasks.

πŸ”οΈ Evaluation

  • πŸŽ‰ [new] Evaluation Agent: An efficient and promptable evaluation paradigm for visual generative models.
  • πŸŽ‰ [new] VBench++: A comprehensive benchmark suite for video generative models with image-to-video and trustworthiness evaluation support.
  • πŸŽ‰ [new] VBench: A comprehensive benchmark suite for video generative models

Latte

  • Latte: Latent Diffusion Transformer for Video Generation

Vchitect 1.0

  • LaVie: High-Quality Video Generation with Cascaded Latent Diffusion Models
  • SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction
  • VideoBooth: Diffusion-based Video Generation with Image Prompts
  • Vlogger: A generic AI system for generating a minute-level video blog (i.e., vlog) of user descriptions.
  • Optix: Memory Efficient Training Framework for Large Video Generation Model

Pinned Loading

  1. LaVie LaVie Public

    [IJCV 2024] LaVie: High-Quality Video Generation with Cascaded Latent Diffusion Models

    Python 950 63

  2. SEINE SEINE Public

    [ICLR 2024] SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction

    Python 967 62

  3. Latte Latte Public

    [TMLR 2025] Latte: Latent Diffusion Transformer for Video Generation.

    Python 1.9k 190

  4. Vchitect-2.0 Vchitect-2.0 Public

    Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models

    Python 922 22

  5. VEnhancer VEnhancer Public

    Official codes of VEnhancer: Generative Space-Time Enhancement for Video Generation

    Python 581 33

  6. VBench VBench Public

    [CVPR2024 Highlight] VBench - We Evaluate Video Generation

    Python 1.8k 138

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    Vchitect/.github's past year of commit activity
    0 0 1 0 Updated Nov 11, 2026
  • VBench Public

    [CVPR2024 Highlight] VBench - We Evaluate Video Generation

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    Vchitect/VBench's past year of commit activity
    Python 1,844 Apache-2.0 138 68 7 Updated Aug 21, 2026
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    JavaScript 1 0 0 0 Updated Aug 18, 2026
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    Vchitect/RealDPO's past year of commit activity
    Python 31 1 3 0 Updated Aug 18, 2026
  • Evaluation-Agent Public

    [ACL2025 Oral & Award] Evaluate Image/Video Generation like Humans - Fast, Explainable, Flexible

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    Vchitect/Evaluation-Agent's past year of commit activity
    Python 133 5 2 0 Updated Aug 11, 2026
  • Latte Public

    [TMLR 2025] Latte: Latent Diffusion Transformer for Video Generation.

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    Vchitect/Latte's past year of commit activity
    Python 1,948 Apache-2.0 190 0 3 Updated Aug 10, 2026
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    JavaScript 0 0 0 0 Updated Apr 13, 2026
  • Uni-MMMU Public

    [ACL2026 oral] Uni-MMMU : A Massive Multi-discipline Multimodal Unified Benchmark

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    Vchitect/Uni-MMMU's past year of commit activity
    Python 27 1 1 0 Updated Apr 13, 2026
  • CineTrans Public

    CineTrans: Learning to Generate Videos with Cinematic Transitions via Masked Diffusion Models

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    Vchitect/CineTrans's past year of commit activity
    Python 33 3 1 0 Updated Feb 3, 2026
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    Vchitect/LongVie's past year of commit activity
    Python 335 40 6 0 Updated Jan 24, 2026
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