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hpcai-tech/OpenSora-VAE-v1.2
OpenSora-VAE-v1.2 is a machine learning model from hpcai-tech. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
<p align="center" <img src="https://cdn-uploads.huggingface.co/production/uploads/63993d721fad4d6eb265d999/UXleJWJExX2WlBizxzYxn.png" width="250"/ </p
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From the Hugging Face model README
This repository stores the weights of the VAE released by the Open-Sora team. You can visit our project at:
The weights are released together with Open-Sora v1.2.
We recommend you to use this weights in the Open-Sora codebase. If you want to use VAE in your own project, you may use the following sample code.
opensorapip install git+https://github.com/hpcaitech/Open-Sora.git
STDiT3 in your own codefrom opensora.models.vae.vae import VideoAutoencoderPipeline
vae = VideoAutoencoderPipeline.from_pretrained("hpcai-tech/OpenSora-VAE-v1.2")