Spent the last few days writing torchruntime, which will automatically install the correct torch distribution based on the user's OS and graphics card. This package was written by extracting this logic out of Easy Diffusion, and refactoring it into a cleaner implementation (with tests).
Spent most of the day doing some support work for Easy Diffusion, and experimenting with torch-directml for AMD support on Windows.
Spent a few days prototyping a UI for Easy Diffusion v4. Files are at this repo.
Notes on two directions for ED4's UI that I'm unlikely to continue on.
Worked on a few UI design ideas for Easy Diffusion v4. I've uploaded the work-in-progress mockups at https://github.com/easydiffusion/files.
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.
Spent a few days getting a C++ based version of Easy Diffusion working, using stable-diffusion.cpp. I'm working with a fork of stable-diffusion.cpp here, to add a few changes like per-step callbacks, live image previews etc.
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!
tl;dr: Explored a possible optimization for Flux with diffusers when using enable_sequential_cpu_offload(). It did not work.