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2026

Post from Jul 24, 2026

Cut down the startup time of Easy Diffusion by 4 seconds on warm start, and atleast 10 seconds on cold start. Removed a couple of unnecessary imports and ran a few things in parallel. Released this to the beta channel.

Post from Jul 17, 2026

tl;dr - Right now, what annoys me the most with Easy Diffusion is the startup time and friction, and how Easy Diffusion isn't actually "easy" anymore - the default model (SD 1.5) is bad, users take too long to get productive, and new models require a lot of configuration. That's what v4 aims to bring under control.

Post from Jun 05, 2026

Upgraded stable-diffusion.cpp in Easy Diffusion (and sdkit) to the latest version. This adds support for two new models: Lens and PiD, along with a bunch of bug fixes (for e.g. Chroma rendering has been fixed). It also brings back --diffusion-fa by default, which speeds up rendering. And Chroma seems to be rendering faster than before.

Post from May 22, 2026

Just completed another round of fixing support issues in Easy Diffusion. Today's evidence continues to convince me to move Easy Diffusion away from the Python ecosystem for AI inference on end-user PCs. And definitely to stay away from conda, it's so leaky. Both are excellent in their own right (especially for training and research), but I don't think they make sense for end-user inference.

Post from Mar 31, 2026

Development update for Easy Diffusion: the beta branch has been merged into main, so this releases v3.5 (webui) and v4 to everyone. This shouldn't affect existing users who're on the main branch, i.e. people using the v3 engine will continue doing so. The two engines (v3.5 and v4) are marked as optional, so new users will continue to get and use v3 by default.

Post from Mar 27, 2026

Got Easy Diffusion v4 working on Apple and Intel Macs. The performance difference ratio (vs ED v3) is similar to the ratio on Windows (with CUDA) and other deployment targets. So that indicates optimization opportunities in sd.cpp. It's currently about 1.5x slower than diffusers-based Stable Diffusion.

Post from Jan 18, 2026

Started the long-pending rewrite of Easy Diffusion's server code. v4 intends to replace the Python (and PyTorch) based server with a simple C++ version. The reason for rewriting the server in C++ is to achieve sub-second startup time for the UI, and to reduce the download size (won't need to distribute Python along with Easy Diffusion) or mess with conda/venv etc. And it's also something that I want to do for personal taste, i.e. de-bloating what doesn't need to be bloated.