README.md

---
license: apache-2.0
---

## Open-Sora: Democratizing Efficient Video Production for All
We present [Open-Sora](https://github.com/hpcaitech/Open-Sora), an initiative dedicated to **efficiently** produce high-quality video and make the model, 
tools and contents accessible to all. By embracing **open-source** principles, 
Open-Sora not only democratizes access to advanced video generation techniques, but also offers a 
streamlined and user-friendly platform that simplifies the complexities of video production.
With Open-Sora, we aim to inspire innovation, creativity, and inclusivity in the realm of content creation. 

<h4>Open-Sora is still at an early stage and under active development.</h4> 

More details can be founded at [Open-Sora GitHub](https://github.com/hpcaitech/Open-Sora).


## 📰 News

* **[2024.03.18]** 🔥 We release **Open-Sora 1.0**, a fully open-source project for video generation.
Open-Sora 1.0 supports a full pipeline of video data preprocessing, training with
[ColossalAI](https://github.com/hpcaitech/ColossalAI) acceleration,
inference, and more. Our provided checkpoints can produce 2s 512x512 videos with only 3 days training.
[[blog]](https://hpc-ai.com/blog/open-sora-v1.0)
* **[2024.03.04]** Open-Sora provides training with 46% cost reduction.
[[blog]](https://hpc-ai.com/blog/open-sora)


## 🛠 Usage

You can launch this video generation with this model in a Gradio application.

```bash
# git clone Open-Sora
git clone https://github.com/hpcaitech/Open-Sora.git
cd Open-Sora

# launch gradio
python scripts/demo.py --model-type v1-16x256x256
```

If you want to use this STDiT model in code,

```python
from transformers import AutoModel

stdit = AutoModel.from_pretrained("hpcai-tech/OpenSora-STDiT-v1-16x256x256")
```

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.