added readme

README.md

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 license: apache-2.0
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+
+## 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.
+
+