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OK, all good arguments. Maybe I'll have to take a deep dive on what's possible in open source land on that front (I refuse to touch Adobe/Abelton et al.). Do you use commercial models/implementations or do you have a recommendation where to start if I want to set it up myself?
That's the nice thing about just renting a VM on expensive hardware from runpod. They don't care at all what you do, because you provide all the software yourself.
For photo noise reduction I've used Lightroom and (free but specific to Olympus / OM cameras) OM Workspace. I don't think there are good open source models as the models are camera specific due to different sensor and bayer filter characteristics (and why they can produce really impressive results - check the OM-1 original vs denoised comparison here where the original is far from what I'd consider usable while the Lightroom one is perfectly fine).
For audio stem separation Ultimate Vocal Remove is my tool of choice (you can download the models from the settings page). I start by removing vocals with MDX-Net / Kim Vocal 2, take the residual and remove drums with Demucs and then possibly remove the bass from the residual of that. Be aware that if you just split the stems from the original they will not sum to 100% and thus you want to go the recursive route. I'm sure there are some newer models that you can install manually but I haven't used those as the existing ones work well enough for my purpose (removing distracting vocals or emphasizing instrumental part to better hear what's happening).
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