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makes sure follow this step

  1. clone the huggingface repo because in this repo have the pretrained vae weight.

    git clone https://huggingface.co/ProgramerSalar/vae_model_ckpt
    

    put the duffusion_pytorch_model.safetensors file in the PATH/vae_ckpt folder

  2. clone this repo:

    git clone https://github.com/ProgramerSalar/vae_fineTune.git
    
  3. install the req.txt file

    cd vae_fineTune
    pip install -r req.txt 
    
  4. make sure mount the drive file to colab Notebook

    from google.colab import drive
    drive.mount('/content/drive')
  1. Download the Dataset file
    cd vae_fineTune/Data
    hf download ProgramerSalar/clip_video clip_video_part_2.zip --repo-type dataset --local-dir .
    unzip clip_video_part_2.zip
    rm -rf clip_video_part_2.zip
  1. run the script
    sh scripts/train_causal_video_vae.sh
    

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PyTorch implementation and training pipeline for fine-tuning Video Variational Autoencoders (VAEs) for high-fidelity video generation.

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