| license: apache-2.0 | |
| pipeline_tag: text-to-video | |
| <p align="center"> | |
| <img src="https://cdn-uploads.huggingface.co/production/uploads/63993d721fad4d6eb265d999/UXleJWJExX2WlBizxzYxn.png" width="250"/> | |
| </p> | |
| # Open-Sora STDiT-v3 Weights | |
| This repository stores the weights of the STDiT3 released by the Open-Sora team. You can visit our project at: | |
| - [GitHub](https://github.com/hpcaitech/Open-Sora) | |
| - [Gallery](https://hpcaitech.github.io/Open-Sora/) | |
| - [Gradio Demo](https://huggingface.co/spaces/hpcai-tech/open-sora) | |
| The weights are released together with Open-Sora v1.2. | |
| We recommend you to use this weights in the [Open-Sora codebase]((https://github.com/hpcaitech/Open-Sora)). If you want to use STDiT in your own project, you may use the following sample code. | |
| 1. Install `opensora` | |
| ```bash | |
| pip install git+https://github.com/hpcaitech/Open-Sora.git | |
| ``` | |
| 2. Use `STDiT3` in your own code | |
| ```python | |
| from opensora.models.stdit.stdit3 import STDiT3 | |
| stdit = STDiT3.from_pretrained("hpcai-tech/OpenSora-STDiT-v3") | |
| ``` |