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  # Core ML Converted Model:
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  - This model was converted to [Core ML for use on Apple Silicon devices](https://github.com/apple/ml-stable-diffusion). Conversion instructions can be found [here](https://github.com/godly-devotion/MochiDiffusion/wiki/How-to-convert-ckpt-or-safetensors-files-to-Core-ML).<br>
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- - Provide the model to an app such as [Mochi Diffusion](https://github.com/godly-devotion/MochiDiffusion) to generate images.<br>
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  - `split_einsum` version is compatible with all compute unit options including Neural Engine.<br>
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  - `original` version is only compatible with CPU & GPU option.<br>
 
 
 
 
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  # Note: Some models do not have the [unet split into chunks](https://github.com/apple/ml-stable-diffusion#-converting-models-to-core-ml).
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  # Core ML Converted Model:
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  - This model was converted to [Core ML for use on Apple Silicon devices](https://github.com/apple/ml-stable-diffusion). Conversion instructions can be found [here](https://github.com/godly-devotion/MochiDiffusion/wiki/How-to-convert-ckpt-or-safetensors-files-to-Core-ML).<br>
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+ - Provide the model to an app such as Mochi Diffusion [Github](https://github.com/godly-devotion/MochiDiffusion) - [Discord](https://discord.gg/x2kartzxGv) to generate images.<br>
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  - `split_einsum` version is compatible with all compute unit options including Neural Engine.<br>
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  - `original` version is only compatible with CPU & GPU option.<br>
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+ - Custom resolution versions are tagged accordingly.<br>
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+ - `vae` tagged files have a vae embedded into the model.<br>
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+ - Descriptions are posted as-is from original model source. Not all features and/or results may be available in CoreML format.<br>
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+ - This model was converted with `vae-encoder` for i2i.
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  # Note: Some models do not have the [unet split into chunks](https://github.com/apple/ml-stable-diffusion#-converting-models-to-core-ml).
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