<img src="assets/genmac_logo.png" alt="Icon" width="30"/> GENMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration

<a href='https://karine-h.github.io/GenMAC/'><img src='https://img.shields.io/badge/Project-Page-Green'></a> <a href='https://arxiv.org/abs/2412.04440'><img src='https://img.shields.io/badge/GenMAC-Arxiv-red'></a>

Method Overview

This repository provides the inference code for GenMAC, enabling compositional text-to-video generation. Follow the steps below to set up and generate your videos.

🔨 Installation

Step 1: Install Environment

Set up the required environment using Anaconda:

conda create -n genmac python=3.9 -y
conda activate genmac
pip install -r requirements.txt

Step 2: Download Required Files

1. Pretrained Model

   • Download the pretrained model from Hugging Face. Place the model in the following directory (checkpoints/base_512_v2/model.ckpt):

     mkdir -p checkpoints/base_512_v2
     huggingface-cli download VideoCrafter/VideoCrafter2 model.ckpt --local-dir checkpoints/base_512_v2
     

2. Tokenizer

   • Download the tokenizer from this link. Place it in the following directory (checkpoints/tokenizer):

     huggingface-cli download ali-vilab/text-to-video-ms-1.7b \
        --include "tokenizer/*" \
        --local-dir checkpoints
     

💡 Quick Start

Step 1: Prepare API Key

GenMAC uses GPT-4o for its multi-agent collaboration. To enable access to the model:

1. Add your OpenAI API key to the file:

   utils/api_key.py
   

2. Ensure that your system has internet access to connect to OpenAI's servers.

Step 2: Run Inference

To generate videos, use the following command:

python scripts/run_t2v.py

Note: This process requires approximately 78GB of GPU VRAM

---

Additional Configurations

• Specify the Prompt

  Update the prompt text in the following file:

  assets/prompt/prompt.txt

• Adjust Iterations

  Modify the maximum iteration number (MAX_ITER) in Line 22 of the script (scripts/run_t2v.py):

  e.g., MAX_ITER = 5

• Set Seed

  Set the seed value in Line 13 of the script (scripts/run_t2v.py):

  e.g., seed = 12345678

Output

Generated videos will be saved in the following directory:

results/<seed>_<timestamp>/iter_<MAX_ITER-1>/video/results_t2v_baseline_0/base_512_v2/

Example: If the following parameters are used:

• MAX_ITER = 5
• seed = 12345678
• Script executed on 2025-07-25-22-21-24 The generated videos will be located in:

results/12345678_2025-07-25-22-21-24/iter_4/video/results_t2v_baseline_0/base_512_v2/

⭐ Acknowledgements

We would like to thank the following great open-source projects and research works: LVD, VideoCrafter2.

📚 Citation

@article{huang2024genmaccompositionaltexttovideogeneration,
      title={GenMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration}, 
      author={Kaiyi Huang and Yukun Huang and Xuefei Ning and Zinan Lin and Yu Wang and Xihui Liu},
      year={2024},
      eprint={2412.04440},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2412.04440}, 
}