Something I'm learning for installed comfy UI. I actually made a lot of progress today on my projects using PyTorch and ROCM. You can actually reuse, this is I guess the advantage of AI being so, like a lot of different things like let's say image to video, image generation, text generation, large language models, all being based on the transformer architecture. It means that a lot of the heavy packages like PyTorch and ROCM can be used for environments with totally different objectives and use cases.
So today when I was installing comfy UI, then I installed a manager, then I wanted to install, I was working on all these things, a fine tuning STT environment and it kept being PyTorch and ROCM and that's a really big heavy download. I think by Docker, this is not the Dockerized version, but by Docker it's a really really big one. So I said this is crazy and when I got from the Python subreddit was that I asked what people do when they have many many environments and people responded that mostly they just have a base environment. That's like kind of for most projects.
So what I'm in the process of doing at the moment is using my existing content environment, sorry I created a new environment for PyTorch ROCM and that environment is going to be what I add, what I use for these projects and now I'm in the process of editing the launcher bash wrappers for these projects to all use that common content environment which I think I was using Claw to calculate it would save about 50 gigabytes of disk space. Not that that's a gigantic amount, but it's more the time saving and having to repeatedly create and recreate these same environments.