Update README.md

README.md

@@ -5,7 +5,7 @@ tags:
 - stable-diffusion
 - image-to-image
 ---
-# These are a set of VAEEncoder.mlmodelc bundles that will enable the image2image feature with Mochi Diffusion 3.2 when using incompatible older CoreML cpnverted models.
+# These are a set of VAEEncoder.mlmodelc bundles that will enable the image2image feature with Mochi Diffusion 3.2 when using incompatible older CoreML converted models.
 
 **They are provided in a single zip file, containing five VAEEncoder.mlmodelc files, noted by their file names for use as follows:**
 - for split_einsim 515x515 SD-1.5 type models
@@ -19,8 +19,8 @@ tags:
 **INSTRUCTIONS**
 - Copy the appropriate new VAEEncoder.mlmodelc to the model folder of the model you are upgrading.  The new VAEEncoder.mlmodelc file needs to match the original model in size and compute unit type.
 - Examples:  If the model is an original 512x768 model, copy the file named NEW-ORIG-512x768-VAEEncoder.mlmodelc.  If the model is a split_einsum 512x512 model, copy the file named NEW-SPLIT-512x512-VAEEncoder.mlmodelc.
-- After copying the appropriate VAE file, you must rename it to VAEEncoder.mlmodelc.  That means removing the NEW-ORIG-512x768-, NEW-SPLIT-512x512-, etc. from the copied file's name.
+- After copying the appropriate VAE file, you must rename it to VAEEncoder.mlmodelc.  That means removing the NEW-ORIG-512x768-, NEW-SPLIT-512x512-, etc., from the copied file's name.
 - The upgraded model should now work with both image2image and text2image.
-- IMPORTANT:  Remeber that in image2image, your STARTING IMAGE must always be the same size as yout model.  A 512x512 model will only work with a 512x512 starting image, a 768x512 model will only work with a 786x512 starting image., etc
+- IMPORTANT:  Remeber that in image2image, your STARTING IMAGE must always be the same size as your model.  A 512x512 model will only work with a 512x512 starting image, a 768x512 model will only work with a 786x512 starting image., etc
 - Both the model and the starting image sizes are listed as WIDTH x HEIGHT.  512x768 is a "portrait" orientation.  768x512 is a "landscape" oriemtation.
 - Please report any issues you encounter so that I can try resolve them.