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# zeroscope_v2 XL
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A watermark-free Modelscope-based video model capable of generating high quality video at 1024 x 576. This model was trained with offset noise using 9,923 clips and 29,769 tagged frames at 24 frames, 1024x576 resolution.<br />
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zeroscope_v2_XL is specifically designed for upscaling content made with [zeroscope_v2_576w](https://huggingface.co/cerspense/zeroscope_v2_567w) using vid2vid in the [1111 text2video](https://github.com/kabachuha/sd-webui-text2video) extension by [kabachuha](https://github.com/kabachuha). Leveraging this model as an upscaler allows for superior overall compositions at higher resolutions, permitting faster exploration in 576x320 (or 448x256) before transitioning to a high-resolution render.<br />
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### Using it with the 1111 text2video extension
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1. Download files in the zs2_XL folder.
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2. Replace the respective files in the 'stable-diffusion-webui\models\ModelScope\t2v' directory.
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# zeroscope_v2 XL
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A watermark-free Modelscope-based video model capable of generating high quality video at 1024 x 576. This model was trained with offset noise using 9,923 clips and 29,769 tagged frames at 24 frames, 1024x576 resolution.<br />
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zeroscope_v2_XL is specifically designed for upscaling content made with [zeroscope_v2_576w](https://huggingface.co/cerspense/zeroscope_v2_567w) using vid2vid in the [1111 text2video](https://github.com/kabachuha/sd-webui-text2video) extension by [kabachuha](https://github.com/kabachuha). Leveraging this model as an upscaler allows for superior overall compositions at higher resolutions, permitting faster exploration in 576x320 (or 448x256) before transitioning to a high-resolution render.<br />
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zeroscope_v2_XL uses 15.3gb of vram when rendering 30 frames at 1024x576
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### Using it with the 1111 text2video extension
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1. Download files in the zs2_XL folder.
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2. Replace the respective files in the 'stable-diffusion-webui\models\ModelScope\t2v' directory.
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