Nov 21, 2024

Tags: easydiffusion, stable-diffusion, c++

Spent some more time on the v4 experiments for Easy Diffusion (i.e. C++ based, fast-startup, lightweight). stable-diffusion.cpp is missing a few features, which will be necessary for Easy Diffusion’s typical workflow. I wasn’t keen on forking stable-diffusion.cpp, but it’s probably faster to work on a fork for now.

For now, I’ve added live preview and per-step progress callbacks (based on a few pending pull-requests on sd.cpp). And protection from GGML_ASSERT killing the entire process. I’ve been looking at the ability to load individual models (like the vae) without needing to reload the entire SD model.

Oct 16, 2024

Tags: stable-diffusion, c++, cuda, easydiffusion, lab, performance, featured

tl;dr - Today, I worked on using stable-diffusion.cpp in a simple C++ program. As a linked library, as well as compiling sd.cpp from scratch (with and without CUDA). The intent was to get a tiny and fast-starting executable UI for Stable Diffusion working. Also, ChatGPT is very helpful!

Part 1: Using sd.cpp as a library

First, I tried calling the stable-diffusion.cpp library from a simple C++ program (which just loads the model and renders an image). Via dynamic linking. That worked, and its performance was the same as the example sd.exe CLI, and it detected and used the GPU correctly.