• Want to upscale a video? Take a look here.
• Want to upscale an image or multiple images? Take a look here.

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

• Training a Model in neosr- A guide I wrote which is up-to-date with current training methodologies, and my totally unbiased personal takes.
• Training an image upscaling model- For those that prefer the video format. I recommend using neosr, but much of the information is still applicable.
• Additional resources for training - A list of additional resources and other information for training purposes, prepared by Kim2091.

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

• 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.