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I did go with the 4090 and so far don't regret it. It has forced me to learn about some memory reducing tricks when I want to fine tune SD, but it's been fun to
by PheonixPharts 3y ago
I did go with the 4090 and so far don't regret it. It has forced me to learn about some memory reducing tricks when I want to fine tune SD, but it's been fun to see what can be done.
While it may not be enough VRAM for the future, I'm sort of taking the opposite stance: I'm only going to be playing with AI that I can build on my own machine using (high end) consumer hardware.
People have been creating amazing work with only SD 1.4 and 1.5. If this is the limit of what I can do with SD for the next few years, so be it, there's more than enough to play with and I'm personally not willing to fully cede the future of AI to large corps. There needs to be hackers in the space pushing the limits of what can be done (without worrying about copyright, TOS, etc).
Maybe the best stuff will be locked behind a server, but I'm much more interested in the creative possibilities of running projects (nsfw and otherwise) on my personal hardware.
That said, I think it's great to extend that logic to less price pieces of hardware (i.e. I'm only interested in what I can build at home on 8gb of VRAM, etc)
- maximus-decimus 3y agoI think you need only 12GB to train a DreamBooth model? I trained some on Collab over the Christmas break but just being able to run that locally would open a lot of doors. Using collabs is just kinda a pain.