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A repository collecting image and video upscaling resources as well as my own super resolution models.

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✨ How to Upscale

📈 How to Train Your Own Model

If you're looking for a guide on how to train your own model, check out the following:

⏬ Released Models

Tip

Click on a banner to download or for more information.

Banner AniSD

Banner Ani4K V2

Banner OpenProteus

Banner AniScale 2

Legacy Models

Looking for one of my older models? You can still find them here.

🤝 Tools Utilized and Acknowledgements

  • chaiNNer by Joey and contributors: The backbone of any of my bulk image processing and upscaling process. These models would not be possible without ChaiNNer.
  • ImgAlign by sonic41592: A fantastic little tool which can automate one of those tedious parts of image pair dataset preparation.
  • Image Pearer: A tool to automate the image pairing process by yours truly. Allows automation of the other most tedious part of the image pair dataset preparation process.
  • OpenModelDB: A fantastic resource for all things upscaling.
  • neosr by muslll: The hottest new training platform! neosr now has its own Discord, which can be found here.
  • TraiNNer Redux and Forks by Joey, muslll and other contributors. While I've largely moved over to neosr, I've spent a LOT of time on Redux.
  • Dataset Destroyer by Kim2091: A crucial part of the dataset preparation process that makes image degradation oh so easy!
  • The developers and contributors to neural network models such as ESRGAN, SRVGGNetCompact, OmniSR, SwinIR and more for developing the networks on which these models are based.
  • Simple Image Compare: Another tool by yours truly. A minimalistic image comparison tool which I developed because ICAT sucks.
  • AnimeJaNai Converter GUI by the database: The easiest way to start upscaling videos.
  • And last but certainly not least, the Enhance Everything Discord community for their invaluable support and guidance. I also blame them for my neural network training addiction.

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A repository collecting image and video upscaling resources as well as my own super resolution models.

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