AI-Horde VS stable-diffusion-grpcserver

Also the Horde for Stable Diffusion, pretty good concept: https://github.com/Haidra-Org/AI-Horde/

This is a crowdsourced distributed cluster of Image generation workers and text generation workers. If you like this service, consider joining the horde yourself!

There's AI Horde: https://github.com/db0/AI-Horde

You might be interested in the Stable Horde project : Official website: https://stablehorde.net/ GitHub page: https://github.com/db0/AI-Horde Discord server: https://discord.gg/3DxrhksKzn Related posts on Reddit: https://www.reddit.com/r/StableDiffusion/search/?q=horde&restrict_sr=1&sr_nsfw=

If its going to be AGPL that means you are allowed to use AI Hordes backend code if you wish. You can find it here : https://github.com/db0/AI-Horde/tree/KAI_DO_NOT_DELETE

The Kobold AI Horde is a community of volunteers who share their expensive computers for running AI models.

Kobold AI-Horde

I think that this is the correct github project: https://github.com/db0/AI-Horde

github: db0/AI-Horde: A crowdsourced distributed cluster for AI art and text generation (github.com)

ALSO!! If you're an ex-miner and have a lot of GPUs sitting around, consider offering them up to the Horde

I recently discovered a FlagOnlySafetyChecker for stable diffusion but I'm unable to use it in the program. https://github.com/hafriedlander/stable-diffusion-grpcserver/blob/main/sdgrpcserver/pipeline/safety_checkers.py

- https://github.com/hafriedlander/stable-diffusion-grpcserver I am running it on vast.ai and local installation. A good NVidia card is required.

Stable Cabal’s gRPC Server - An implementation of Stability.AI’s API

This is also already implemented in the GRPC server project here, which now has a nice webui itself: https://github.com/hafriedlander/stable-diffusion-grpcserver

if you want to run such a server locally instead of paying for DreamStudio API credits, you could try https://github.com/hafriedlander/stable-diffusion-grpcserver . You'd still have to manage both a Python server and your Kotlin application, but you could have them in different environments, and you wouldn't have to worry about the complications of how to run a conda environment from inside a Kotlin process.