Update README.md

README.md

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 ## For use with a Swift app or the SwiftCLI
 
-The SD models in this repo are all "Original" and built for CPU and GPU.  They are each for the output size noted.  They are fp16, with the standard SD-1.5 VAE embedded.  "Split-Einsum" versions are available at a different repo.  A link to that repo is at the bottom of this page. 
+The SD models in this repo are all "Original" and built for CPU and GPU.  They are each for the output size noted.  They are fp16, with the standard SD-1.5 VAE embedded.  
 
 The Stable Diffusion v1.5 model and the other SD 1.5 type models contain both the standard Unet and the ControlledUnet used for a ControlNet pipeline.  The correct one will be used automatically based on whether a ControlNet is enabled or not.
 
 They have VAEEncoder.mlmodelc bundles that allow Image2Image to operate correctly at the noted resolutions, when used with a current Swift CLI pipeline or a current GUI built with ml-stable-diffusion 0.4.0 or ml-stable-diffusion 1.0.0, such as Mochi Diffusion 3.2, 4.0, or later.
 
-All of the ControlNet models in this repo are "Original" ones, built for CPU and GPU compute units (cpuAndGPU) and for SD-1.5 type models.  They will not work with SD-2.1 type models.  The zip files each have a set of models at 4 resolutions.  The 512x512 builds appear to also work with "Split-Einsum" models, using CPU and GPU (cpuAmdGPU), but from my tests, they will not work with "Split-Einsum" models when using the Neural Engine (NE). 
+All of the ControlNet models in this repo are "Original" ones, built for CPU and GPU compute units (cpuAndGPU) and for SD-1.5 type models.  They will not work with SD-2.1 type models.  The zip files each have a set of models at 4 resolutions.  "Split-Einsum" versions for use with the Neural Engine (CPU and NE) are available at a different repo.  A link to that repo is at the bottom of this page. 
 
 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 new (June 2023) [**Mochi Diffusion**](https://github.com/godly-devotion/MochiDiffusion) 4.0 version.