Right on
Because multiple people asked about setting this up, so it is a group effort. Certainly doesn’t have to happen.
Well, I hadn’t hadn’t thought about that. Will definitely think about it.
I was looking at pip/python instructions. https://tahoe-lafs.readthedocs.io/en/latest/Installation/install-tahoe.html Seems there are docker compose instructions https://tahoe-lafs.readthedocs.io/en/latest/running.html#development-with-docker
My understanding is there is no public. Only you have access to your data.
I’m literally learning about it just like yourself.
Tahoe-LAFS is actually much older than Storj https://tahoe-lafs.org/trac/tahoe-lafs/wiki/OldNews
Please continue submitting questions! I will look into clarifying answers. Do see the documentation. FAQ is probably a good place to start: https://tahoe-lafs.org/trac/tahoe-lafs/wiki/FAQ
What would you use instead? It and podman are nicely interchangeable.
What else did you try and what was lacking?
I find your experiments inspired. Thank you! I’m learning about this myself on an rtx and excited to discuss on my little podcast.james.network one of these days. Been using paperless minus the AI functionality so far. About to start testing different AI services on an arm64 device with 16gb ram that claims some level of AI support; will see how that goes. Let me know if there are any other specific services/models you’d recommend or are curious about.
Which specific models did you try and how would you rank each is usability?
How do you like auto1111 as I’ve never head of it
afaik Ollama would fit that bill, but perhaps others can chime in. You could probably run it on your local computer with a small model based on CPU alone.
Not sure I know what that is. As in Hoarder?
Have to agree on that. Certainly only makes sense to have up when you are using it.
Didn’t know about these image generation tools, besides Stable Diffusion. Thanks!
Sounds like you and I are in a similar place of testing.
Well, let me know your suggestions if you wish. I took the plunge and am willing to test on your behalf, assuming I can.
Well, it is a podcast that is self-hosted and also focusing on self-hosting, Linux, DIY, and fully open source tools. My goal is to DIY everything possible using free and open tools. This episode is about going to a recent Linux conference, visiting a makerspace, and discussing distributed file shares of Tahoe-LAFS between a number of self-hosters.