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# zeroscope_v2 30x448x256
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This model was trained using 9,923 clips and 29,769 tagged frames at 30 frames, 448x256 resolution.<br />
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zeroscope_v2 30x448x256 is specifically designed for upscaling with [Potat1](https://huggingface.co/camenduru/potat1) using vid2vid in the [1111 Text2Video](https://github.com/kabachuha/sd-webui-text2video) extension by [kabachuha](https://github.com/kabachuha). <br />
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Leveraging this model as a preliminary step allows for superior overall compositions at higher resolutions in Potat1, permitting faster exploration in 448x256 before transitioning to a high-resolution render. <br />
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See an [example output](https://i.imgur.com/lj90FYP.mp4) that has been upscaled to 1152 x 640 using Potat1.<br />
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### Using it with the 1111 text2video extension
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### Known issues
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Lower resolutions or fewer frames could lead to suboptimal output. <br />
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Certain clips might appear with cuts. This
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Some clips may playback too slowly, requiring prompt engineering for an increased pace.
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# zeroscope_v2 30x448x256
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A watermark-free Modelscope-based video model optimized for producing high-quality 16:9 compositions and a smooth video output. This model was trained using 9,923 clips and 29,769 tagged frames at 30 frames, 448x256 resolution.<br />
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zeroscope_v2 30x448x256 is specifically designed for upscaling with [Potat1](https://huggingface.co/camenduru/potat1) using vid2vid in the [1111 text2video](https://github.com/kabachuha/sd-webui-text2video) extension by [kabachuha](https://github.com/kabachuha). Leveraging this model as a preliminary step allows for superior overall compositions at higher resolutions in Potat1, permitting faster exploration in 448x256 before transitioning to a high-resolution render. See an [example output](https://i.imgur.com/lj90FYP.mp4) that has been upscaled to 1152 x 640 using Potat1.<br />
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### Using it with the 1111 text2video extension
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### Known issues
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Lower resolutions or fewer frames could lead to suboptimal output. <br />
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Certain clips might appear with cuts. This will be fixed in the upcoming 2.1 version, which will incorporate a cleaner dataset.
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Some clips may playback too slowly, requiring prompt engineering for an increased pace.
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