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