- cross-posted to:
- guide@lemmy.intai.tech
- cross-posted to:
- guide@lemmy.intai.tech
This is a copy of /r/stablediffusion wiki to help people who need access to that information
Howdy and welcome to r/stablediffusion! I’m u/Sandcheeze and I have collected these resources and links to help enjoy Stable Diffusion whether you are here for the first time or looking to add more customization to your image generations.
If you’d like to show support, feel free to send us kind words or check out our Discord. Donations are appreciated, but not necessary as you being a great part of the community is all we ask for.
Note: The community resources provided here are not endorsed, vetted, nor provided by Stability AI.
#Stable Diffusion
Local Installation
Active Community Repos/Forks to install on your PC and keep it local.
Online Websites
Websites with usable Stable Diffusion right in your browser. No need to install anything.
Mobile Apps
Stable Diffusion on your mobile device.
Tutorials
Learn how to improve your skills in using Stable Diffusion even if a beginner or expert.
Dream Booth
How-to train a custom model and resources on doing so.
Models
Specially trained towards certain subjects and/or styles.
Embeddings
Tokens trained on specific subjects and/or styles.
Bots
Either bots you can self-host, or bots you can use directly on various websites and services such as Discord, Reddit etc
3rd Party Plugins
SD plugins for programs such as Discord, Photoshop, Krita, Blender, Gimp, etc.
Other useful tools
- Diffusion Toolkit - Image viewer/organizer that scans your images for PNGInfo generated.
- Pixiz Morphing - Easily transition between 2 photos.
- Bulk Image Resizing Made Easy 2.0
#Community
Games
- PictionAIry : (Video|2-6 Players) - The image guessing game where AI does the drawing!
Podcasts
- This is Not An AI Art Podcast - Doug Smith talks about Ai Art and provides the prompts/workflow on his site.
Databases or Lists
- AiArtApps
- Stable Diffusion Akashic Records
- Questianon’s SD Updates 1
- Questianon’s SD Updates 2
- SW-Yw’s Stable Diffusion Repo List
- Plonk’s SD Model List (NSFW)
- Nightkall’s Useful Lists
- Civitai - Website with a list of custom models.
Still updating this with more links as I collect them all here.
FAQ
How do I use Stable Diffusion?
- Check out our guides section above!
Will it run on my machine?
- Stable Diffusion requires a 4GB+ VRAM GPU to run locally. However, much beefier graphics cards (10, 20, 30 Series Nvidia Cards) will be necessary to generate high resolution or high step images. However, anyone can run it online through DreamStudio or hosting it on their own GPU compute cloud server.
- Only Nvidia cards are officially supported.
- AMD support is available here unofficially.
- Apple M1 Chip support is available here unofficially.
- Intel based Macs currently do not work with Stable Diffusion.
How do I get a website or resource added here?
*If you have a suggestion for a website or a project to add to our list, or if you would like to contribute to the wiki, please don’t hesitate to reach out to us via modmail or message me.
yeehaw! just wanted to mention how happy i am to find this community on lemmy now.
It’s been linked to the subreddit since forever ;)
Another great resource for models is huggingface: https://huggingface.co/models?other=stable-diffusion-diffusers
Apple M1 Chip support is available here unofficially. is on reddit could you provide a copy of that information here ?
Just post a link to this in the community
this list helped me get started with SD. Looking back it at now, I think it needs to be updated. How can I contribute?
You could migrate the list to our wiki and then edit it there.
I’ve signed up on the wiki. How do I start?
Just make a page and start by copying the content of this post
Cool! I’ll keep making new pages as I come across new stuff!
didn’t notice that there is a megathread for this!
Guess I’m getting into something new some time near presentNice. Will this be stickied or put in a sidebar?
It’s already stickied
Newest versions of AUTOMATIC1111 GUI have AMD-support built-in for Linux, and with my 6600xt it seems to work quite well, but I don’t have anything else to compare it with (Batch size 4, LMS KARRAS 100 steps, --medvram finishes in 1 minute e 5 seconds). Are the performances good or sub-par for my gpu?