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license: apache-2.0 |
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## Open-Sora: Democratizing Efficient Video Production for All |
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We present [Open-Sora](https://github.com/hpcaitech/Open-Sora), an initiative dedicated to **efficiently** produce high-quality video and make the model, |
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tools and contents accessible to all. By embracing **open-source** principles, |
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Open-Sora not only democratizes access to advanced video generation techniques, but also offers a |
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streamlined and user-friendly platform that simplifies the complexities of video production. |
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With Open-Sora, we aim to inspire innovation, creativity, and inclusivity in the realm of content creation. |
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<h4>Open-Sora is still at an early stage and under active development.</h4> |
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More details can be founded at [Open-Sora GitHub](https://github.com/hpcaitech/Open-Sora). |
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## 📰 News |
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* **[2024.03.18]** 🔥 We release **Open-Sora 1.0**, a fully open-source project for video generation. |
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Open-Sora 1.0 supports a full pipeline of video data preprocessing, training with |
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[ColossalAI](https://github.com/hpcaitech/ColossalAI) acceleration, |
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inference, and more. Our provided checkpoints can produce 2s 512x512 videos with only 3 days training. |
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[[blog]](https://hpc-ai.com/blog/open-sora-v1.0) |
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* **[2024.03.04]** Open-Sora provides training with 46% cost reduction. |
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[[blog]](https://hpc-ai.com/blog/open-sora) |
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## 🛠 Usage |
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You can launch this video generation with this model in a Gradio application. |
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```bash |
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# git clone Open-Sora |
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git clone https://github.com/hpcaitech/Open-Sora.git |
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cd Open-Sora |
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# launch gradio |
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python scripts/demo.py --model-type v1-HQ-16x256x256 |
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``` |
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If you want to use this STDiT model in code, |
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```python |
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from transformers import AutoModel |
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stdit = AutoModel.from_pretrained("hpcai-tech/OpenSora-STDiT-v1-HQ-16x256x256") |
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``` |
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Do note that this model alone cannot generate video, it should work alongside a vae model and a text encoder model like how we did in the demo. |
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