Blueberry Video

⚠️ Active Development: This repository is still in development. Possible bugs may exist. We welcome any help with debugging or contributions to new experiments!

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Quick Start

pip install -r requirements.txt

# Train with CogVideoX architecture
python train_video.py

# Or specify a different config
python train_video.py --config configs/video/train/hunyuan.yaml

About

Purpose of this repository is to research better, faster, smarter video generation models.

This repository contains cutting-edge video generation experiments and architectures. We believe scientists do their best work when given freedom to explore, so this is a space for your independent research and discovery.

Fork this repository, create a new experiment in experiments/ folder, then create a pull request to merge it back.

Architectures

We currently support two state-of-the-art video generation architectures:

1. CogVideoX (3D Transformer)

• 3D attention mechanism for temporal coherence
• Efficient for medium-length videos
• Located in: models/cogvideox_transformer.py

2. Hunyuan Video (Advanced Transformer)

• Advanced temporal modeling
• High-quality video generation
• Located in: models/hunyuan_video_transformer.py

Experiments

Each experiment below is validated on a specific git tag. Later commits may introduce breaking changes. To run an experiment with correct version of the repo, checkout its validated tag using: git checkout <tag-name>

Experiment	Researcher	Validated Tag	Research Question	Key Findings
Your experiments will be added here

Getting Started

1. Fork and Clone

git clone https://github.com/YOUR-USERNAME/blueberry-video.git
cd blueberry-video
pip install -r requirements.txt

Contributing

See CONTRIBUTING.md for guidelines on how to contribute to this project.

License

MIT License - See LICENSE file for details

Community

Join our research community:

• Share your experiments
• Discuss findings
• Collaborate on ideas
• Learn from others

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Made with ❤️ by Open Superintelligence Lab

Accelerating video generation research, one experiment at a time.