Ask Lemmy
A Fediverse community for open-ended, thought provoking questions
Rules: (interactive)
1) Be nice and; have fun
Doxxing, trolling, sealioning, racism, and toxicity are not welcomed in AskLemmy. Remember what your mother said: if you can't say something nice, don't say anything at all. In addition, the site-wide Lemmy.world terms of service also apply here. Please familiarize yourself with them
2) All posts must end with a '?'
This is sort of like Jeopardy. Please phrase all post titles in the form of a proper question ending with ?
3) No spam
Please do not flood the community with nonsense. Actual suspected spammers will be banned on site. No astroturfing.
4) NSFW is okay, within reason
Just remember to tag posts with either a content warning or a [NSFW] tag. Overtly sexual posts are not allowed, please direct them to either !asklemmyafterdark@lemmy.world or !asklemmynsfw@lemmynsfw.com.
NSFW comments should be restricted to posts tagged [NSFW].
5) This is not a support community.
It is not a place for 'how do I?', type questions.
If you have any questions regarding the site itself or would like to report a community, please direct them to Lemmy.world Support or email info@lemmy.world. For other questions check our partnered communities list, or use the search function.
6) No US Politics.
Please don't post about current US Politics. If you need to do this, try !politicaldiscussion@lemmy.world or !askusa@discuss.online
Reminder: The terms of service apply here too.
Partnered Communities:
Logo design credit goes to: tubbadu
view the rest of the comments
You can get by with 4G of VRAM if all you want is to generate some pictures, or differently put every PC capable of 1080p gaming should do the trick. With good software (comfyui) you can do SDXL just fine, and almost crush SD1.
It's fine-tuning much less training models where things get expensive but there's other ways to get creative with those models. Training is only ever barely possible on gaming GPUs because those cap out at about 16G VRAM.
(Just for completeness' sake, for anyone wondering "why don't I just use my 32G worth of CPU RAM to supplement the VRAM?" -- that's already happening anyways. You need a minimum amount of VRAM or your box will be busier shuffling data from and to the GPU than it is actually doing calculations: Your GPU is going to thrash. If that happens it's probably faster to run the AI on the CPU and, well, it's just not build to run that kind of code).