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README.md
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license: creativeml-openrail-m
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---
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---
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license: creativeml-openrail-m
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tags:
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- coreml
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- stable-diffusion
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- text-to-image
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---
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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).
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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.
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- `split_einsum` version is compatible with all compute unit options including Neural Engine.
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- `original` version is only compatible with `CPU & GPU` option.
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- Custom resolution versions are tagged accordingly.
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- The `vae-ft-mse-840000-ema-pruned.ckpt` VAE is embedded into the model.
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- This model was converted with a `vae-encoder` for use with `image2image`.
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- This model is `fp16`.
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- Descriptions are posted as-is from original model source.
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- Not all features and/or results may be available in `CoreML` format.
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- This model does not have the [unet split into chunks](https://github.com/apple/ml-stable-diffusion#-converting-models-to-core-ml).
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- This model does not include a `safety checker` (for NSFW content).
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- This model can be used with ControlNet.
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<br>
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# realMoonAnime-v70_cn:
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Source(s): [CivitAI](https://civitai.com/models/75431/real-moon-anime)<br>
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## Real Moon - Anime v7.0
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A mixture of Real Moon with MonKe Dream.
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This model aims to generate anime images with a lot of detail and quality, a balance between realism and anime. Can output both SFW and NSFW images.
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Baked in VAE
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### I usually use
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- Clip skip: 1
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- Upscaler: R-ESRGAN 4x+ Anime6B
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- Denoising strength: 0.4
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- Hires steps: same as the Sampling steps
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Recommended Loras: Detail Tweaker, Better Portrait Lighting
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Recommended embeddings: bad-artist, EasyNegativeV2<br><br>
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