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Important: The HMA code is based on HAT's code. It was a direct copy of HAT's repo, with some code rewrites and better training.
You already support HAT, so adding HMA support will be a lot easier than I expected.
However, there's problems in HMA's code. I have documented all the steps I had to do to fix the bugs in HMA's / HAT's repos to make the code run locally. I submitted a PR, so it's fixed now. Just follow these steps if you want to run it locally directly from their repo:
I think the best path forward to figure out how to implement HMA is to do a diff between HAT and HMA's repos (possibly at an older point in time of HAT's repo since I doubt HMA used the latest HAT code), and see what part of HAT's architecture that HMA actually changed. You probably have 99% of the code already.
@the-database Hi, since I saw that you have a huge interest in upscalers and have contributed a lot of pull requests for various upscalers, I am curious if you were aware of HMA?
The models were finally released 3 weeks ago! Dear God, please... support this! :D
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