Open-Sora: Democratizing Efficient Video Production for All
We present 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.
Open-Sora is still at an early stage and under active development.
More details can be founded at Open-Sora GitHub.
? 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 acceleration, inference, and more. Our provided checkpoints can produce 2s 512x512 videos with only 3 days training. [blog]
- [2024.03.04] Open-Sora provides training with 46% cost reduction. [blog]
? Usage
You can launch this video generation with this model in a Gradio application.
# git clone Open-Sora
git clone https://github.com/hpcaitech/Open-Sora.git
cd Open-Sora
# launch gradio
pip install gradio spaces
python gradio/app.py --model-type v1-HQ-16x512x512
If you want to use this STDiT model in code,
from modelscope.models import Model
stdit = Model.from_pretrained("hpcai-tech/OpenSora-STDiT-v1-HQ-16x512x512")
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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