still no word on how to convert/train other finetuned models into their format :(

APU board? They are going EOL soon, but these devices are built like a tank. Full Linux x86_64 support, coreboot bios. https://www.pcengines.ch/apu.htm A few sellers in the EU still have them.

I use a mixture of systemd-nspawn and different user logins. This is sufficient for experimentation, for actual use I try to package (makepkg) those tools to have them organized by my package manager.

Also LVM thinpools with snapshots are a great tool. You can mount a dedicated LV to each single user home to keep everything separated.

where?

Do not expect you can offer this service for a competive price against cloud prices. Caring for a company IT system is a big challenge and requires more work the more users there are.

For a company this size: make a clear contract. Consider how much time you need for setup/installation, monthly hours for maintenance, monitoring and at least daily(!) backups. Let them choose if they want it with a failover and charge for the required hours and material. Also put in the contract when they can expect support from you, including a clause for a holiday substitute admin (if needed). Then put a pricetag on support hours for holding people’s hands when they “can’t find that file they uploaded a week ago and it is surely a server issue” and put a pricetag on engineering hours for any modifications they might want, like installing any plugins they deem useful for themselves. Hardware prices, traffic, rack space and power should be included as well. Have a good plan for updates, choose your distro wisely, do not rely on autoupdates.

Play all this through in your head, add up the hours, choose a fair rate and then you have your pricetag.

Cloud will always be cheaper, because they have their infrastructure already deployed. Building from the ground up is more expensive, but I think it is worth it. Will they?

But…isn’t unsupervised backfeeding the same as simply overtraining the same dataset? We already know overtraining causes broken models.

Besides, the next AI models will be fed with the interactions from humans with AI, not just it’s own content. ChatGPT already works like this, it learns with every interaction, every chat.

And the generative image models will be fed with AI-assisted images where humans will have fixed flaws like anatomy (the famous hands) or other glitches.

So as interesting as this is, as long as humans interact with AI the hybrid output used for training will contain enough new “input” to keep the models on track. There are already refined image generators trained with their own but human-assisted output that are better than their predecessor.

GoogleTalk once federated with XMPP/jabber, good times until their userbase was big enough to deferedate again, crippling the jabber network. It will happen again if we let it.

Metas plan is to draw users into their network and use the fediverse as an initial catalyst (“look! so much content already there!”). Once their userbase is large enough, they will deferate again claiming protocol difficulties or something equally vague, but they will just want to start rolling out advertising which would not be displayed to users from other instances. Most users will not keep two accounts and jusy stay with the big corp and leave the original fediverse again.

Well, NASA trusts Linux enough to send it to Mars. They build rockets, so it should be good enough for flying busses. Unless you don’t trust your software engineers, but then having them build a custom microkernel OS instead sounds not much better.

My vote is Archlinux. Debian is sometimes a little too “optimisitic” when backporting security fixes and upgrading from oldstable to stable always comes with manual intervention.

Release-based distros tend to be deployed and left to fend on their own for years - when it is finally time to upgrade it is often a large manual migration process depending on the deployed software. A rolling release does not have those issues, you just keep upgrading continuously.

Archlinux performs excellent as a lightweight server distro. Kernel updates do not affect VM hardware the same they do your laptop, so no issues with that. Same for drivers. It just, works.

Bonus: it is extremely easy to build and maintain your own packages, so administration of many instances with customized software is very convenient.

Vote is currently in favor of keeping /r/StableDiffusion open - 1200 to 800

Yes, but it if they make it contraband then the open sharing will stop. If they tell the general public it is used to create illegal porn then it will be seen as nothing else. It still feels like sorcery to me sometimes, these mundies will certainly call it witchcraft and sharpen their pitchforks. If posession is made illegal then very few people will dare to share it. Being labeled a pirate has at least honor, being labeled a pervert is something else.

My point is: I think it is not enough we have models and code, it has to become part of many more people’s jobs now so they want to actively protect it and lobby for it.

SD is an amazing tool for basic photo editing, restoration, indie games and simply art. But most non-techie artists I talk to either cry about stolen copyright or some artisan fantasy, claiming real art must be created through diligence. (And then tell me a week later how they just looove Adobe’s Firefly and how magic it is).

SD.Next is doing the weirdest things from time to time. The startup script performs various git pull operations on every start so it autoupdates parts of itself, causing itself to break sometimes. Depending on your installed plugins it might execute code from the web. It does not upgrade itself automatically though.

I recommend deactivating all autoupdate features and/or snapshotting your installation. (For example with an LVM thin volume mounted to its installation directory and snapshotting it before each start, this will also snapshot the python venv stuff).

A difficult comparison - the pencil is more like photoshop or krita. Drawing a (photorealistic) image from scratch requires mechanical skill. SD is something else, like a magical canvas that guides the pencil while you draw…

They could still try to enforce safeguards against generating with certain tokens, or only allow models with certain training data. Or the almighty copyright-claim-banhammer…

While we here know it is futile to censor a model without breaking it - they do not understand it.

They will just claim it “can be used to create illegal pornography” and ban it entirely. And “fix faces” will be a high-risk AI because it can detect faces. 🤦

Only idea I’ve got to combat this is to make it available to as many people as possible so they can speak in favor of it. Other ideas welcome.

You can also download it for offline use: https://github.com/SupaGruen/StableDiffusion-CheatSheet

report back if it does!