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tags: |
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- Text-to-Video |
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# zeroscope_dark_v2 30x448x256 |
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A watermark-free Modelscope-based video model optimized for producing high-quality 16:9 compositions with varying brightness 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.<br /> |
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### Using it with the 1111 text2video extension |
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1. Rename the file 'zeroscope_v2_dark_30x448x256.pth' to 'text2video_pytorch_model.pth'. |
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2. Rename the file 'zeroscope_v2_dark_30x448x256_text.bin' to 'open_clip_pytorch_model.bin'. |
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3. Replace the respective files in the 'stable-diffusion-webui\models\ModelScope\t2v' directory. |
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### Upscaling recommendations |
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For upscaling, it's recommended to use Potat1 via vid2vid in the 1111 extension. Aim for a resolution of 1152x640 and a denoise strength between 0.66 and 0.85. Remember to use the same prompt and settings that were used to generate the original clip. |
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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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