imaginAIry VS stable-diffusion-grpcserver

Stable Diffusion works fine on a CPU - on an AMD Ryzen 5700, approx 90s per image (and I believe comparable or faster on my old i7-6700). If you want to kick off a batch in the background while you work on something else, that's plenty fast. (I use: https://github.com/brycedrennan/imaginAIry).

Yeah, also, rather than messing around with the AUTO1111 UI, maybe learn some Python and how to use this library: https://github.com/brycedrennan/imaginAIry

this is a real thing https://github.com/brycedrennan/imaginAIry

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.