From bc52216c73aff59dec4ee7bd1a37d7def1a12e6a Mon Sep 17 00:00:00 2001 From: Extraltodeus Date: Mon, 12 Aug 2024 16:22:06 +0200 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index efcdf55..801b943 100644 --- a/README.md +++ b/README.md @@ -19,7 +19,7 @@ All are to be used like any model patching node, right after the model loader. Named like this because I initially wanted to test what would happen if I used, instead of a single CFG scale, a tensor shaped like the latent space with a gradual variation. Then why not try to use masks instead? And what if I could make it so each value will participate so the image would match as close as possible to an input image? -The result is an arithmetic scaling method which does not noticeably slow down the sampling while also scaling the intensity of the values during the sampling. +The result is an arithmetic scaling method which does not noticeably slow down the sampling while also scaling the intensity of the values like an "automatic cfg". So here it is: