diff --git a/README.md b/README.md
index 1f76bda..87dc775 100644
--- a/README.md
+++ b/README.md
@@ -24,12 +24,6 @@ Requires pytorch 2.3 and above.
 
 Changing the UNET temperature allows to obtain better results a different resolutions. While it is not the full solution to the scaling issues of Stable Diffusion, it is a strong clue indicating the possibility to sample at much higher (or lower) resolutions.
 
-# Patreon
-
-Consider giving an incentive to contributors.
-
-https://www.patreon.com/extraltodeus
-
 # Examples
 
 ### Here using SDXL at a resolution of 328x328. First row temperature at 1, second row using dynamic scaled attention:
@@ -48,8 +42,9 @@ The temperature was applied to all layers except input 1 and 2, output 9, 10 and
 ![combined_pair_1](https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings/assets/15731540/84fed1e4-a7ba-4f2a-8562-e3573f0aab8f)
 ![combined_pair_3](https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings/assets/15731540/c6703c21-0d63-404e-9bf8-3a7c580f59e7)
 
-### Other simple example with SD 1.5, with/without are obvious enough (these two are workflows):
 
-![01629UI_00001_](https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings/assets/15731540/d6371d3f-ea38-40e4-8215-432214027a78)
+# Patreon
 
-![01630UI_00001_](https://github.com/Extraltodeus/Stable-Diffusion-temperature-settings/assets/15731540/967ddf3b-da39-4dca-bd48-02a2f7e28ee0)
+Consider giving an incentive to contributors.
+
+https://www.patreon.com/extraltodeus