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@ -95,6 +95,12 @@ To utilize a fine-tuned model here, use [this script](https://github.com/Exponen
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### Prominent Fine-tunes
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**ZeroScope v2**
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Trained by @cerspense on high quality YouTube videos. Download the files from the folder named `zs2_XL` at [cerspense/zeroscope_v2_XL](https://huggingface.co/cerspense/zeroscope_v2_XL/tree/main/zs2_XL) and then add the missing `VQGAN_autoencoder.pth` and `configuration.json` from [any other ModelScope model](https://huggingface.co/kabachuha/modelscope-damo-text2video-pruned-weights/tree/main).
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https://github.com/kabachuha/sd-webui-text2video/assets/14872007/6fa39221-3608-415e-b8ce-04a2bad11d30
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**Potat1**
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[Potat1](https://huggingface.co/camenduru/potat1) is a ModelScope-based model trained by @camenduru on 2197 clips with the resolution of 1024x576 which makes it the first open source hi-res text2video model.
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