Open-Sora is an open effort to democratize video generation, providing trainable, runnable text-to-video models and the full training pipeline.
From the README
pip install "huggingface_hub[cli]" huggingface-cli download hpcai-tech/Open-Sora-v2 --local-dir ./ckpts
- Tech Report of Open-Sora 2.0
- Step by step to train or finetune your own model
- Step by step to train and evaluate an video autoencoder
- Visit the high compression video autoencoder
- Reports of previous version (better see in according branch):
- Open-Sora 1.3: shift-window attention, unified spatial-temporal VAE, etc.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeOpen-Sora: Democratizing Efficient Video Production for All
Open-Sora has 29.3k stars on GitHub. It has been forked 3k times. Open-Sora is written mainly in Python. It has been in active development since 2024. Open-Sora is available under the Apache-2.0 license.
Read the full guideWhat is Open-Sora?
Open-Sora: Democratizing Efficient Video Production for All
Is Open-Sora open source?
Open-Sora is an open-source project. It is released under the Apache-2.0 license.
Is Open-Sora free?
Yes. Open-Sora is free and open source — you can use, modify and self-host it.
What license does Open-Sora use?
Open-Sora is available under the Apache-2.0 license.
What language is Open-Sora written in?
Open-Sora is written mainly in Python.
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