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README.md
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@@ -23,7 +23,7 @@ The SD models (base models) linked at the bottom of this page were relocated fro
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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.
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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**](https://github.com/godly-devotion/MochiDiffusion)
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The sizes noted for all model type inputs/outputs are WIDTH x HEIGHT. A 512x768 is "portrait" orientation and a 768x512 is "landscape" orientation.
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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.
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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**](https://github.com/godly-devotion/MochiDiffusion) 4.0, or later.
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The sizes noted for all model type inputs/outputs are WIDTH x HEIGHT. A 512x768 is "portrait" orientation and a 768x512 is "landscape" orientation.
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