AI Generated Images
Community for AI image generation. Any models are allowed. Creativity is valuable! It is recommended to post the model used for reference, but not a rule.
No explicit violence, gore, or nudity.
This is not a NSFW community although exceptions are sometimes made. Any NSFW posts must be marked as NSFW and may be removed at any moderator's discretion. Any suggestive imagery may be removed at any time.
Refer to https://lemmynsfw.com/ for any NSFW imagery.
No misconduct: Harassment, Abuse or assault, Bullying, Illegal activity, Discrimination, Racism, Trolling, Bigotry.
AI Generated Videos are allowed under the same rules. Photosensitivity warning required for any flashing videos.
To embed images type:
“![](put image url in here)”
Follow all sh.itjust.works rules.
Community Challenge Past Entries
Related communities:
- [email protected]
Useful general AI discussion - [email protected]
Photo-realistic AI images - [email protected] Stable Diffusion Art
- [email protected] Stable Diffusion Anime Art
- [email protected] AI art generated through bots
- [email protected]
NSFW weird and surreal images - [email protected]
NSFW AI generated porn
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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.