roll20-character-sheets VS stable-diffusion

There are other options: https://roll20.net/

I've used roll20.net up until now. They have a find group feature and a virtual table top with character sheets and dice roller included, so everything you need to play virtually is all on the one site.

We use Roll20 to play remote.

1 Year Roll20 Pro Subscription ($109 value!) – use it yourself or give it to your GM!

There are plenty of D&D software programs out there that are free and paid versions. Many of them with the ability to have friends join and interact with the table. As basic as Tabletop Simulator to Fantasy Grounds (both on steam that I have experience with, not an endorsement). roll20.net being a popular browser based version.

i have made a character on roll20.net that maybe border line iffy/OP, so i may have to make one that's not. my free time can be a bit unusual at times(it's 12:24AM as i write this)so someone who has similar free times as i do(if your interested let me know and we can talk times), basicly I've been listening to a DnD podcast and i think it sounds fun and i want to try it out edit: I'm in PST timezone in saskachewan so i don't have daylight savings time

A free Roll20 account: https://roll20.net/

I've done it. They have a GitLab project were you can submit sheets. I submitted one for Alternity's 2018 remake because no-one else had done it.

Which is a 1-click install of Stable Diffusion with an alternative web interface. You can choose a different approach but this one is pretty simple and I am new to this stuff.

an invisible watermarking of the outputs, to help viewers identify the images as machine-generated.

It sounds like you just want to set up Stable Diffusion to run locally. I don't think your computer's specs will be able to do it. You need a graphics card with a decent amount of VRAM. Stable diffusion is in Python as is almost every AI open source project I've seen. If you can get your hands on a system with an Nvidia RTX card with as much VRAM as possible, you're in business. I have an RTX 3060 with 12 gigs of VRAM and I can run stable diffusion and a whole variety of open source LLMs as well as other projects like face swap, Roop, tortoise TTS, sadtalker, etc...

Use specific GPU on multi GPU systems · Issue #87 · CompVis/stable-diffusion · GitHub

I dealt with this in one of my posts. At least SD 1.1 till 1.5 are all trained on a batch size of 2048. The version pretty much everyone uses (1.5) is first pretrained at a resolution of 256x256 for 237K steps on laion2B-en, at the end of those training steps it will have seen roughly 500M images in laion2B-en. After that it is pre-trained for 194K steps on laion-high-resolution at a resolution of 512x512, which is a subset of 170M images from laion5B. Finally it is trained for 1.110K steps on LAION aesthetic v2 5+. This is easily verified by taking a glance at the model card of SD 1.5. Though that one doesn't specify for part of the training exactly which aesthetic set was used for part of the training, for that you have to look at the CompVis github repo. Thus at the end of it all both the most recent images and the majority of images will have come from LAION aesthetic v2 5+ (seeing every image approx 4 times). Realistically a lot of the weights obtained from pretraining on 2B will have been lost, and only provided a good starting point for the weights.

stable diffusion · CompVis/stable-diffusion@2ff270f · GitHub

Here for example --> https://github.com/CompVis/stable-diffusion