VM is a good idea. I barely even trust a lot of the open source stuff, there's deep stacks of magic (and not so magic) shit in modern machine learning, and too

VM is a good idea. I barely even trust a lot of the open source stuff, there's deep stacks of magic (and not so magic) shit in modern machine learning, and too much "we depend on pip installing this particular git repo, sometimes a particular commit that you'll need to figure out lol". Some of the stuff people are building has looked interesting, but I'm going to let the dust settle for a while before I look into them more, and I'm particularly trying not to gum up my new machine with npm BS. For now, I've had enough fun with just the original repo (regrettably finally mostly figuring out how to use conda) which I setup a bit before the weights were released and haven't updated. (So I didn't need to bother removing the last-minute added watermark/filtering stuff.) I also sometimes test things with the network down to see if there's blatant surprising network connections, interestingly the default repo will ping a site for a resource it needs to download, but continues to do so even after you have it. Add the "local_files_only=True" param to the from_pretrained() method calls in ldm/modules/encoders/modules.py to stop it. (Oh thank the gods that I can just edit the py files to make local changes and they haven't tried to do some weird hybrid binary thing like other projects (ActivityWatch).) I also setup Real-ESRGAN to upscale some favorites, its results are pretty interesting. The executable binary blobs I've a natural inclination to distrust, but I can also see where they're coming from, culturally, and Most Of The Time it's not a problem, like random indie games you might download to try. (Besides, there are other binary blobs I depend on, like the nvidia driver...) Culturally it seems somewhat comparable to the gaming world or even demo scene or modding scene, where traditionally you don't often find much open source.