From 18c4f016206b94e37b27603dce86f403f2212ecd Mon Sep 17 00:00:00 2001
From: catboxanon <122327233+catboxanon@users.noreply.github.com>
Date: Thu, 17 Aug 2023 09:33:23 -0400
Subject: [PATCH] Add version note

---
 Features.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Features.md b/Features.md
index 181047f..b67eb8c 100644
--- a/Features.md
+++ b/Features.md
@@ -771,7 +771,7 @@ CLIP is a very advanced neural network that transforms your prompt text into a n
 Some models were trained with this kind of tweak, so setting this value helps produce better results on those models.
 
 ## Extra noise
-Adds additional noise from the random seed, determined by the setting, defaulting to `0`. Implemented in [#12564](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12564), available in settings under `img2img` -> `Extra noise multiplier for img2img and hires fix`. As noted in the UI, it should always be lower than the denoising strength used to yield the best results.
+Adds additional noise from the random seed, determined by the setting, defaulting to `0`. Implemented in version 1.6.0 via [#12564](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12564), available in settings under `img2img` -> `Extra noise multiplier for img2img and hires fix`. As noted in the UI, it should always be lower than the denoising strength used to yield the best results.
 
 One purpose for this tweak is to add back additional detail into hires fix. For a very simplified understanding, you may think of it as a cross between GAN upscaling and latent upscaling.