I’m pretty sure the GP was thinking of something having qualities such as "funny", "well-written", or "creative".

This is like the least helpful or useful kind of comment ever. Hey I got barfed on by an LLM wanna see?

It runs locally if you download the "m" and "l" files alongside it (for maps and models), and run it on a localhost server (to fix the CORS errors).

curl "https://phoboslab.org/q1k3/index.html" > index.html

curl "https://phoboslab.org/q1k3/l" > l

curl "https://phoboslab.org/q1k3/m" > m

python -m http.server

--

I then zipped it up, and converted that zip file to 7 QR codes, so technically yes, we can fit Quake on a few QR codes.

So bad is not a full html self runnable, I guess it is doable with some quick trickery. In that case, one could build a QR code html interpreter (aka read > output to file > open the file with firefox ) and it would be so cool

I did that trickery and it works: https://github.com/AdrianVollmer/Zundler

(I had to fix the mime type detection and I'll have to push that fix to PyPI, so use the main branch if you want to try it yourself.)

Unfortunately, since we have to ship it with the gzip lib pako.js, the size more than quadruples to 77kb, so no QR code with this approach. Maybe I should look into making compression optional.

You can use DecompressionStream instead of pako.js for all modern browsers. FetchCrunch [1] uses it to generate self-extracting HTML files, which were not portable at that time but now fully portable across browsers.

[1] https://github.com/subzey/fetchcrunch

Very cool. Thanks for letting me know!

Uh uh thats very interesting. I am gonna play with it a lot.

> the size more than quadruples to 77kb, so no QR code with this approach.

OR we can use 25 QR codes haha. Joking, but what about huge QR codes?

This is cool.

I found that the first line didn't work but: curl "https://phoboslab.org/q1k3/" > index.html

did the trick...

Yeah, I assumed it was made by Comfy's author, as maybe a next evolution of their project. I was feeling happy for them.

But since it's not made by Comfy's author, it's definitely not cool to name your project by using their name.

Easy Diffusion (previously cmdr2 UI) can run SDXL in 768x768 in about 7 GB of VRAM. And SDXL 512x512 in about 5 GB of VRAM.

Regular SD can run in less than 2 GB of VRAM with Easy Diffusion.

1. Installation (no dependencies, python etc): https://github.com/easydiffusion/easydiffusion#installation

2. Enable beta to get access to SDXL: https://github.com/easydiffusion/easydiffusion/wiki/The-beta...

3. Use the "Low" VRAM Usage model in the Settings tab.

Hi, I'm the author of the cmdr2 UI and installer (that iFire linked to). I'd be happy to contribute the 1-click installer used by my project. It's a battle-hardened installer (over 100k installations on all kinds of PCs and networks), and I'm finishing up a rewrite in python, so that the installer code is easier to maintain for others.

I'd be happy to submit a PR to your project, if you're interested in using it. I actually got it working with your project a few weeks ago, so I know it works with your repo.

I've opened a github issue as well, so we can talk there if you'd like: https://github.com/invoke-ai/InvokeAI/issues/1042

Like I mentioned elsewhere, https://github.com/cmdr2/stable-diffusion-ui is pretty popular, and is a 1-click installer for Win and Linux (Mac coming soon). Quite a lot of features, and well-liked by users for its easy-to-install and user-friendly GUI.

https://github.com/cmdr2/stable-diffusion-ui is pretty popular, and is a 1-click installer for Win and Linux (Mac coming soon). Quite a lot of features, and well-liked by users for its easy-to-install and user-friendly GUI.

ah thanks, i've seen you around but somehow forgot to add. I've put you in as a distro since you bundle SD: https://github.com/sw-yx/prompt-eng/blob/main/README.md#sd-d...

Thanks! :)

There's a 1-click installation for installing Stable Diffusion locally (Windows/Linux), doesn't require anything pre-installed - https://github.com/cmdr2/stable-diffusion-ui#installation

Hi, there are a couple of good UIs. https://github.com/cmdr2/stable-diffusion-ui is an easy-to-install and use tool, written by me (with contributions by many). Version 2 is in beta, which is a 1-click installer for Windows, no dependencies or command line needed. v2 beta: https://github.com/cmdr2/stable-diffusion-ui/tree/v2

https://github.com/hlky/stable-diffusion is another popular and good tool.

I'm impressed how fast this is getting adopted. Dozens of repos have popped up.

Any of these that work work with apple arm64 m2?

Awesome, thanks a lot!

Thank you!

Thanks! This worked for me finally. The conda approach suggested elsewhere was getting too complicated, and wasn't working properly (for me).

I built a simple UI around this, which installs Stable Diffusion's docker image, and lets you play with it locally in a browser-based UI. https://github.com/cmdr2/stable-diffusion-ui