Update README.md

README.md

@@ -4,7 +4,7 @@ tags:
 - coreml
 - stable-diffusion
 - text-to-image
-- not-for-all-eyes
+- not-for-all-audiences
 ---
 # LoRA-Merged Models For CoreML
 ## Stable Diffusion v1.5 Type Models With Embedded LoRAs For Use With CoreML-based Apps
@@ -19,9 +19,9 @@ The listings below indicate the LoRA and the base model used in each merge.  The
 
 If there is a merge you'd like me to run for you, leave a note in the Community area here.  I'm open to anything that is SD-1.5 type.  Let me know the LoRA, the base model, and what size(s) you'd most like.
 
-SD-2.1 type base models are not and will not be included here.  They requiew pipeline modifications on my end, and they are not always suppored by the end use applications.
+SD-2.1 type base models are not, and will not be, included here.  They requie pipeline modifications on my end, and they are not always suppored by the end use applications.
 
-The merges here were made in Automatic1111 and the resulting .safetensors models were tested there.  The models were then converted to Core ML and tested with [**Mochi Diffusion**](https://github.com/godly-devotion/MochiDiffusion)  They should also work in a standard Swift CLI pipeline that uses a recent build of ml-stable-diffusion as a base.  
+The merges here were made with Automatic1111 and the resulting .safetensors models were tested there.  The models were then converted to Core ML and tested with [**Mochi Diffusion**](https://github.com/godly-devotion/MochiDiffusion)  They should also work in a standard Swift CLI pipeline that uses a recent build of ml-stable-diffusion as a base.  
 
 These models should work with Imaga2Imange, but they do not include the ControlledUnet.mlmodelc component required for use with ControlNets.