The new engine that’ll power Easy Diffusion’s upcoming v4 release (i.e. sdkit3) has now been integrated into Easy Diffusion. It’s available to test by selecting v4 engine in the Settings tab (after enabling Beta). Please press Save and restart Easy Diffusion after selecting this.
It uses stable-diffusion.cpp and ggml under-the-hood, and produces optimized, lightweight builds for the target hardware.
The main benefits of Easy Diffusion’s new engine are:
- Very lightweight - Less than 100 MB install footprint, compared to 3 GB+ for Forge and other PyTorch-based engines.
- Much better for AMD/Intel/Integrated users - avoids the hot mess of ROCm and DirectML, by using a reliable Vulkan backend (that’s also used in
llama.cpp). - Opportunity for even faster image generation in the future - this currently uses stock sd.cpp, which has room for further optimization.
- Support for older GPUs - Vulkan supports older GPUs, especially older AMD GPUs unsupported by ROCm/PyTorch.
This supports:
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