Update README.md

README.md

@@ -32,7 +32,7 @@ The sizes are always meant to be WIDTH x HEIGHT.  A 512x768 is "portrait" orient
 **If you encounter any models that do not work fully with image2image and ControlNet, using the current apple/ml-stable-diffusion SwiftCLI pipeline or Mochi Diffusion 3.2 or the Mochi Diffusion CN test build, please leave a report in the Community area here.  If you would like to add models that you have converted, leave a message as well, and I'll try to figure out out to grant you access to this repo.**
  
 ## Base Models - A Variety Of SD-1.5 Type Models For Use With CN
-**Each folder contains 4 zipped model files, output size as indicated: 512x512, 512x768, 768x512 or 768x768.**
+Each folder contains 4 zipped model files, output size as indicated: 512x512, 512x768, 768x512 or 768x768
 - DreamShaper v5.0, 1.5-type model, original, for ControlNet & Standard
 - GhostMix v1.1, 1.5-type anime model, original, for ControlNet & Standard
 - MeinaMix v9.0 1.5-type anime model, original, for ControlNet & Standard
@@ -41,7 +41,7 @@ The sizes are always meant to be WIDTH x HEIGHT.  A 512x768 is "portrait" orient
 - Stable Diffusion v1.5, original, for ControlNet & Standard
 
 ## ControlNet Models - All Current SD-1.5-Type ControlNet Models
-**Each zip file contains a set of 4 resolutions: 512x512, 512x768, 768x512, 768x768**
+Each zip file contains a set of 4 resolutions: 512x512, 512x768, 768x512, 768x768
 - Canny  --  Edge Detection, Outlines As Input
 - Depth  --  Reproduces Depth Relationships From An Image
 - InPaint  --  Use Masks To Define And Modify An Area (not sure how this works)