alt Hacker NewsI’ve never personally used it, but isn’t that what LM Studio is positioned as? From what I can gather, it seems extremely beginner-friendly.
I’ve never personally used it, but isn’t that what LM Studio is positioned as? From what I can gather, it seems extremely beginner-friendly.
What you get with Draw Things: 1. Download the app from Mac AppStore; 2. Download the model; 3. Tap "Try recommended settings", have the guarantee that for whatever model it supports, it is the fastest in Mac ecosystem, no need to fiddle.
What you get with local LLM options: 1. Download the inference engine app from the web; 2. Download the model; 3. Configure MTP / DFlash / DSpark whatever; 4. Configure your Pi / OpenCode harness to point to this local LLM inference engine. 5. Configure tools for these harness to be effective. 6. Switching between Ollama, LM Studio, llama.cpp (DwarfStar4), oMLX, MTPLX, to see which one is fastest for your workload. 7. Again switching between different quants of the same model to see which one is less dumb.
To be honest, llama.cpp probably the closest to deliver on "just use it, don't worry about speed" if your focus is about a pure LLM inference engine.