**The Singapore-based AI startup HPC-AI Tech has introduced a video AI model with lower training costs compared to other similar models. The startup called the new model Open-Sora 2.0.**
Image: Generated with AI
## The details
* According to the research paper, Open-Sora 2.0 needs about $200,000 for training costs. This is 5-10 times less than comparable models like Movie Gen or Step-Video-T2V.
* HPC-AI Tech used an affordable training pipeline with three main stages: (1) training a text-to-video model using low-resolution video data, (2) training an image-to-video model with low-resolution video data, and (3) fine-tuning an image-to-video model on high-resolution videos. The developers also saved computing resources by using pre-trained image models like Flux.
* Even though it has lower training costs, Open-Sora 2.0 performs just as well as leading video generation models like HunyuanVideo and Runway Gen-3 Alpha. In addition, Open-Sora 2.0 nearly matches the performance of OpenAI’s Sora.
* Open-Sora 2.0 can generate videos from text and images at resolutions up to 768×768 pixels for videos up to 5 seconds. The model is available on [Hugging Face](https://huggingface.co/hpcai-tech){:target="_blank" rel="noopener"}.
**Our thoughts**
This paper shows that high-quality video generation models can be developed with controlled costs through an optimized training strategy and pre-trained models.
However, Open-Sora has a lower resolution compared to [OpenAI's Sora](/weekly-magic-ai-apples-ai-strategy-openai-and-hollywood-chatbot-grok/#-a-partnership-between-openai-and-hollywood), and its maximum length of five seconds is quite short. In comparison, OpenAI’s Sora can generate videos up to 60 seconds with a resolution of up to 1080p.
In addition, current diffusion models often cause unexpected problems, such as distorted objects and unnatural physical effects, which require further research.
**More information:** 🔗 [GitHub](https://github.com/hpcaitech/Open-Sora){:target="_blank" rel="noopener"} \| [OpenSora Gallery](https://hpcaitech.github.io/Open-Sora/){:target="_blank" rel="noopener"} \| [arXiv](https://arxiv.org/pdf/2503.09642v1){:target="_blank" rel="noopener"}
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