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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 by following Apple's instructions [here](https://github.com/godly-devotion/MochiDiffusion/wiki/How-to-convert-ckpt-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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  # Note: This model does not have the unet split into chunks.
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  # ATitanStrawberry:
 
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  Creative Ladies and artsy Gentle-beings i present to you great all-around checkpoint that was secretly made by Reddit user Virtual-Fix6855 by using recipe of forgotten Old Gods which he probably also forgot. For a well-designed prompt it could give out great photo-realistic images as well as digital paintings. It does not fail on bodies and landscapes and with proper resolution you can count on humans having right amount of everything.
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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. Instructions can be found [here](https://github.com/godly-devotion/MochiDiffusion/wiki/How-to-convert-ckpt-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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  # Note: This model does not have the unet split into chunks.
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  # ATitanStrawberry:
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+ Source(s): [CivitAI](https://civitai.com/models/1404/atitanstrawberry)
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  Creative Ladies and artsy Gentle-beings i present to you great all-around checkpoint that was secretly made by Reddit user Virtual-Fix6855 by using recipe of forgotten Old Gods which he probably also forgot. For a well-designed prompt it could give out great photo-realistic images as well as digital paintings. It does not fail on bodies and landscapes and with proper resolution you can count on humans having right amount of everything.
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