Update README.md

README.md

@@ -19,7 +19,7 @@ The ControlNet models in this repo have both "Original" and "Split-Einsum" versi
 
 All of the models in this repo work with Swift and the apple/ml-stable-diffusion pipeline (release 0.4.0 or 1.0.0).  They were not built for, and will not work with, a Python Diffusers pipeline.  They need [**ml-stable-diffusion**](https://github.com/apple/ml-stable-diffusion) for command line use, or a Swift app that supports ControlNet, such as the (June 2023) [**MOCHI DIFFUSION**](https://github.com/godly-devotion/MochiDiffusion) 4.0 version.
 
-There are six full SD (base) models in the "SD" folder of this repo.  They are in subfolders by model name and individually zipped for a particular resolution.  They need to be unzipped for use after downloading.  The six base models here are built only for "Original" 
+There are six full SD (base) models in the "SD" folder of this repo.  They are in subfolders by model name and individually zipped for a particular resolution.  They need to be unzipped for use after downloading.  The six base models here are built only for "Original". 
 
 The ControlNet model files are in the "CN" folder of this repo.  They are zipped and need to be unzipped after downloading.  The larger zips hold "Original" types at 512x512, 512x768, 768x512 and 768x768.  The smaller zips with "SE" have a single model for "Split-Einsum".
 
@@ -29,7 +29,7 @@ For command line use, the "MISC" notes cover setting up a miniconda3 environment
 
 If you are using a GUI like [**MOCHI DIFFUSION**](https://github.com/godly-devotion/MochiDiffusion)  4.0, the app will most likely guide you to the correct location/arrangement for your ConrolNet model folder.
 
-Please note that when you unzip the "Originl" ControlNet files (for example Canny.zip) from this repo, they will unzip into a folder, with the actual four model files inside that folder.  This folder is just a holding folder for the zipping process.  **What you want to move into your ControlNet model folder in Mochi Diffusion will be the individual files, not the folder they unzip into.**  The "Split-Einsum" zips just have a single file and don't use a holding folder.  To make things even more confusing, on some Mac systems, an individual ControlNet model file, for example Canny-5x5.mlmodelc, will appear in Finder as a folder, not a file.  You want to move the Canny-5x5.mlmodelc file or folder, and the .mlmodelc files or folders, into your ControlNet store folder.  Don't move the plain "Canny" folder.  This is different from base models, where you do want to be moving the folder that the downloaded zip file unzips into.  See the images [**here**](https://huggingface.co/jrrjrr/CoreML-Models-For-ControlNet/blob/main/CN/-Settings.jpg) and [**here**](https://huggingface.co/jrrjrr/CoreML-Models-For-ControlNet/blob/main/CN/-Folders.jpg) for an example of how my folders are set up for Mochi Diffusion.
+Please note that when you unzip the "Originl" ControlNet files (for example Canny.zip) from this repo, they will unzip into a folder, with the actual four model files inside that folder.  This folder is just a holding folder for the zipping process.  **What you want to move into your ControlNet model folder in Mochi Diffusion will be the individual files, not the folder they unzip into.**  The "Split-Einsum" zips just have a single file and don't use a holding folder.  To make things even more confusing, on some Mac systems, an individual ControlNet model file, for example Canny-5x5.mlmodelc, will appear in Finder as a folder, not a file.  You want to move the Canny-5x5.mlmodelc file or folder (and other .mlmodelc files or folders) into your ControlNet store folder.  Don't move the plain "Canny" folder.  This is different from base models, where you do want to be moving the folder that the downloaded zip file unzips into.  See the images [**here**](https://huggingface.co/jrrjrr/CoreML-Models-For-ControlNet/blob/main/CN/-Settings.jpg) and [**here**](https://huggingface.co/jrrjrr/CoreML-Models-For-ControlNet/blob/main/CN/-Folders.jpg) for an example of how my folders are set up for Mochi Diffusion.
 
 The sizes noted for all model type inputs/outputs are WIDTH x HEIGHT.  A 512x768 is "portrait" orientation and a 768x512 is "landscape" orientation.