Text-to-Video
Diffusers
VideoToVideoSDPipeline
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@@ -14,7 +14,7 @@ To marry the strength and alleviate the weakness of pixel-based and latent-based
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  ## Model Details
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- This is the super-resolution model of Show-1 that upscales videos from a 256x160 resolution to 576x320. The model is finetuned from [cerspense/zeroscope_v2_576w](https://huggingface.co/cerspense/zeroscope_v2_576w) on the [WebVid-10M](https://maxbain.com/webvid-dataset/) dataset.
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  - **Developed by:** [Show Lab, National University of Singapore](https://sites.google.com/view/showlab/home?authuser=0)
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  - **Model type:** pixel- and latent-based cascaded text-to-video diffusion model
 
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  ## Model Details
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+ This is the super-resolution model of Show-1 that upscales videos from a 256x160 resolution to 576x320. The model is finetuned using diffusion timesteps 0-900 on the [WebVid-10M](https://maxbain.com/webvid-dataset/) dataset.
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  - **Developed by:** [Show Lab, National University of Singapore](https://sites.google.com/view/showlab/home?authuser=0)
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  - **Model type:** pixel- and latent-based cascaded text-to-video diffusion model