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  ## For use with a Swift app like [**MOCHI DIFFUSION**](https://github.com/godly-devotion/MochiDiffusion) or the SwiftCLI
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- 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 that support ControlNet are being added in individual model repos listed on the [**CORE ML MODELS**](https://huggingface.co/coreml) main page.
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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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  **If you encounter any models that do not work correctly with image2image and/or a ControlNet, using the current apple/ml-stable-diffusion SwiftCLI pipeline for i2i or CN, or Mochi Diffusion 3.2 using i2i, or Mochi Diffusion 4.0 using i2i or CN, please leave a report in the Community Discussion area. If you would like to add models that you have converted, leave a message there as well, and we will grant you access to this repo.**
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  ## Base Models - A Variety Of SD-1.5-Type Models For Use With ControlNet
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- Each folder contains 4 zipped model files, output sizes as indicated: 512x512, 512x768, 768x512 or 768x768
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- - DreamShaper v5.0, 1.5-type model, "Original"
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- - GhostMix v1.1, 1.5-type anime model, "Original"
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  - MeinaMix v9.0 1.5-type anime model, "Original"
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  - MyMerge v1.0 1.5-type NSFW model, "Original"
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- - Realistic Vision v2.0, 1.5-type model, "Original"
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  - Stable Diffusion v1.5, "Original"
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  ## ControlNet Models - All Current SD-1.5-Type ControlNet Models
 
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  ## For use with a Swift app like [**MOCHI DIFFUSION**](https://github.com/godly-devotion/MochiDiffusion) or the SwiftCLI
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+ 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 that support ControlNet are currently being added. Models that support both "Original" and "Split-Einsum" wil be relocated to individual model repos listed on the [**CORE ML MODELS**](https://huggingface.co/coreml) main page. The relocated models will be linked at this page.
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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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  **If you encounter any models that do not work correctly with image2image and/or a ControlNet, using the current apple/ml-stable-diffusion SwiftCLI pipeline for i2i or CN, or Mochi Diffusion 3.2 using i2i, or Mochi Diffusion 4.0 using i2i or CN, please leave a report in the Community Discussion area. If you would like to add models that you have converted, leave a message there as well, and we will grant you access to this repo.**
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  ## Base Models - A Variety Of SD-1.5-Type Models For Use With ControlNet
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+ Each folder remaining at this repo contains 4 zipped model files, output sizes as indicated: 512x512, 512x768, 768x512 or 768x768
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+ - DreamShaper v5.0, 1.5-type model, "Original" & "Split-Einsum" at https://huggingface.co/coreml/coreml-DreamShaper-v5.0_cn
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+ - GhostMix v1.1, 1.5-type anime model, "Original" & "Split-Einsum" at https://huggingface.co/coreml/coreml-ghostmix-v20-bakedVAE_cn
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  - MeinaMix v9.0 1.5-type anime model, "Original"
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  - MyMerge v1.0 1.5-type NSFW model, "Original"
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+ - Realistic Vision v2.0, 1.5-type model, "Original" & "Split-Einsum" at https://huggingface.co/coreml/coreml-realisticVision-v20_cn
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  - Stable Diffusion v1.5, "Original"
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  ## ControlNet Models - All Current SD-1.5-Type ControlNet Models