Update blog

Author: cmdr2

content/blog/2025-12-08-1765198531.md

@@ -9,38 +9,20 @@ tags:
 
 The new engine that'll power Easy Diffusion's upcoming v4 release (i.e. [sdkit3](https://github.com/easydiffusion/sdkit/tree/v3)) 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.
 
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 It uses [stable-diffusion.cpp](https://github.com/leejet/stable-diffusion.cpp) and [ggml](https://github.com/ggml-org/ggml) under-the-hood, and produces optimized, lightweight builds for the target hardware.
 
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 The main benefits of Easy Diffusion's new engine are:
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 1. Very lightweight - Less than 100 MB install footprint, compared to 3 GB+ for Forge and other PyTorch-based engines.
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 2. 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`).
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 3. Opportunity for even faster image generation in the future - this currently uses stock sd.cpp, which has room for further optimization.
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 4. Support for older GPUs - Vulkan supports older GPUs, especially older AMD GPUs unsupported by ROCm/PyTorch.
 
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 This supports:
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 * Windows, Linux, Mac
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 * NVIDIA, AMD, Intel GPUs (including integrated)
 
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 Users on Easy Diffusion's [Discord Server](https://discord.com/invite/u9yhsFmEkB) have already been trying it out, and it seems to work reasonably well. Atleast as well as I can expect for the first release of a fundamentally different engine for ED.
 
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 This is "future work". It's still missing a few features and has a few bugs (tracked [here](https://github.com/users/cmdr2/projects/16/views/5)). It will take a while before it is ready for widespread use.
 
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 But for AMD users, ED4 is sometimes already better than ED 3.5/Forge (which uses ROCm/DirectML, and doesn't work reliably for many AMD users). So that's why ED4's new engine has been fast-tracked for early release.

content/blog/2025-12-25-1766652519.md

@@ -7,6 +7,8 @@ tags:
   - easydiffusion
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+Collecting the worklog over the past 2 weeks.
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 - Enabled Flash-Attention and CPU offloading by default in sdkit3 (i.e. Easy Diffusion v4).
 - Added optional VAE tiling (and VAE tile size configuration) via `config.yaml` in Easy Diffusion v4.
 - Created Easy Diffusion's [fork](https://github.com/easydiffusion/stable-diffusion-webui-forge) of Forge WebUI, in order to apply the patches required to run with ED. And also to try adding new features like Z-Image (which are missing in the seemingly-abandoned main Forge repo).