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LocalLLaMA
Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.
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No, you can run sd, flux based model inside the koboldcpp. You can try it out using the original koboldcpp in google colab. It loads gguf model. Related discussion on Reddit: https://www.reddit.com/r/StableDiffusion/comments/1gsdygl/koboldcpp_now_supports_generating_images_locally/
Edit: Sorry, I kinda missed the point, maybe I'm sleepy when writing that comment. Yeah, I agree that LLM need big memory to run which is one of it's downside. I remember someone doing comparison that API with token based pricing is cheaper that to run it locally. But, running image generation locally is cheaper than API with step+megapixel pricing.
Hmm. That does look like it. But I have a build out of git within the last two weeks or so, and the only backend image generation options it lists are AI Horde, KCPP/Forge/A1111, OpenAI/DALL-E, ComfyUI, and Pollinations.ai.
Maybe there's some compile-time option that needs to be set to build it in.
investigates
Hmm. I guess it just always has the embedded support active, and that's what "KCPP" is for; you need to configure it at http://localhost:5001/sdui, and then I guess you presumably choose "KCPP/Forge/A1111" as the endpoint. Still not clear where one plonks in the model, but it clearly is there. Sorry about that!