>Unet Patcherを使用すると、Self-Attention Guidance、Kohya High Res Fix、FreeU、StyleAlign、Hypertileのようなメソッドをすべて約100行のコードで実装できます。

>On at least 4 of our 5 test devices (RTX 2060, RTX 3060 laptop, RTX 3090, RTX 4090, RTX 3070ti laptop), if the original webui is equally fast or at most 10% slower (Except RTX 3090 and 4090 since the speed up for them are around 5%). All CMD flags are accepted, but we exclude tech that sacrifices functionality like TensorRT or torch compile. Note that this includes a full generation pass of CLIP time, diffusion time, model moving time, and VAE time. We use SDXL 1024x1024 at batch size 1 and 4, and with batch count 1 and 16.

> On at least 4 of our 5 test devices (RTX 2060, RTX 3060 laptop, RTX 3090, RTX 4090, RTX 3070ti laptop), if the original webui is equally memory efficient or at most use 512MB more VRAM, and the diffusion image resolution without OOM is at least 90% of Forge’s max resolution (On RTX 3060 laptop and RTX 3070ti laptop). All CMD flags are accepted.