The screenshot had has the criteria included though. Relevant part: either be for children or for everyone.

I’d try chat gpt for that! :)

But to give you a very brief rundown. If you have no experience in any of these aspects and are self learning you should expect a long rampup phase! Perhaps there is an easier route but I’m not familiar with it if there is.

First, familiarize yourself with server setups. If you only want to host this you won’t have to go into the network details but it could become a cause for error at one point so be warned! The usual tip here is to get yourself familiar enough with docker that you can read and understand docker compose files. The de facto standard for self hosting are linux machines but I have read of people who used Macos and even windows successfully.

One aspect quite unique to themodel landscape is the hardware requirements. As much as it hurts my nvidia despicing heart at this point in time they are the de facto monopolist. Get yourself a card with 12GB VRAM or more (everything below will be painful if you get things running at all. I’ve tried and pulled or smaller models on a 8GB card but experienced a lot of waiting time and crashes). Read a bit about Cuda on your chosen OS and what their drivers need.

Once you can understand this whole port, container, path mapping and environment variable things.

Then it’s going to the github page linked, following their guide and starting a container. Loading models is actually the easier part once you have the infrastructure running.

No offense intended, possible that I miss read your experience level:

I hear a user asking developer questions. Either you go the route of using the publicly available services (dalle and Co) or you start digging into hosting the models yourself. The page you linked hosts trained models to use in your own contexts, not for a “click button and it works”.

As a starting point for image generation self hosting I suggest https://github.com/AUTOMATIC1111/stable-diffusion-webui.

For the training part, I’ll be very blunt: if you don’t indent to spend five to six digit sums on hardware or processing power, forget it. And even then you’d need the raw training data to pull it of.

Perhaps what you want to do use fine tune a pretrained model, that’s something I only have a. It of experience in LLMs thohfn(and even there I don’t have the hardware to get beyond a personal proof of concept).

The systematic change you describe would make sure that people are “on time” though, just redefining on what that meaning.

Being “on time” I understand as one of two things:

• Being in a place you agreed to be at a time you agreed to.
• Something happens for a lot of people and it was announced beforehand that this will do.

The first one is your responsibility, the latter is impossible to make in a way that works for everyone.

I don’t understand how this “change” should look like, what you’d expect people to do for meeting each other and events.

Of course I’m fine with “I take public transport I’ll be there between four and six” as a statement for punctuality. Beyond that though?

What a clickbait thumbnail :/