Update README.md

README.md

@@ -45,9 +45,19 @@ Granular adaptive learning can be achieved through techniques such as active lea
 
 Granular adaptive learning is often used in situations where the data is highly diverse or non-stationary and where the model needs to adapt quickly to changing patterns. This is often the case in dynamic environments such as robotics, financial markets, and natural language processing.
 
-## PENDING DATA FOR MERGE, RPGv2 not accounted..
-	
-## Checkpoint Merging Data Reference
+## Setup
+To run this model, download the model.ckpt and install it in your "stable-diffusion-webui\models\Stable-diffusion" directory
+
+## Space
+
+
+## CompVis
+
+
+## Diffusers
+
+
+## Checkpoint Merging Data Reference - PENDING DATA FOR MERGE, RPGv2 not accounted..
 
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@@ -296,11 +306,6 @@ border:1px solid #663380;
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-
-	
-## Setup
-To run this model, download the model.ckpt and install it in your "stable-diffusion-webui\models\Stable-diffusion" directory
-
 ## License
 
 By downloading you agree to the terms of these licenses