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README.md
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- text-to-image
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- stable-diffusion
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- stable-diffusion-xl
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widget:
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- text: face focus, cute, masterpiece, best quality, 1girl, green hair, sweater, looking at viewer, upper body, beanie, outdoors, night, turtleneck
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parameter:
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negative_prompt: lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry
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output:
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url: https://cdn-uploads.huggingface.co/production/uploads/6365c8dbf31ef76df4042821/cR_r0k0CSapphAaFrkN1h.png
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example_title: 1girl
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- text: face focus, bishounen, masterpiece, best quality, 1boy, green hair, sweater, looking at viewer, upper body, beanie, outdoors, night, turtleneck
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parameter:
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negative_prompt: lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry
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output:
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url: https://cdn-uploads.huggingface.co/production/uploads/6365c8dbf31ef76df4042821/EteXoZZN4SwlkqfbPpNak.png
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example_title: 1boy
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---
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<style>
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# SDXL-v10-Base+Refiner:
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Source(s): [CivitAI](https://civitai.com/models/101055/sd-xl)<br>
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</style>
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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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- `original` version is only compatible with `CPU & GPU` option
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- `sprit_einsum` version is available for both `CPU & Neural Engine` and `CPU & GPU` options.
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- Resolution and bit size are as noted in the individual file names.
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- This model requires macOS 14.0 or later to run properly.
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- This model was converted with a `vae-encoder` for use with `image2image`.
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- This model does not include a `safety checker` (for NSFW content).
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- This model can not be used with ControlNet.
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<h1 class="title">
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<span>Animagine XL 2.0</span>
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</h1>
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- text-to-image
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- stable-diffusion
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- stable-diffusion-xl
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---
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<style>
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}
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</style>
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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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- `original` version is only compatible with `CPU & GPU` option
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- `sprit_einsum` version is available for both `CPU & Neural Engine` and `CPU & GPU` options. If your Mac has a lot of GPUs, using the CPU & GPU option will speed up image generation.
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- Resolution and bit size are as noted in the individual file names.
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- This model requires macOS 14.0 or later to run properly.
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- This model was converted with a `vae-encoder` for use with `image2image`.
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- This model does not include a `safety checker` (for NSFW content).
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- This model can not be used with ControlNet.
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# animagine-xl-2.0
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Sources: [Hugging Face](https://huggingface.co/Linaqruf/animagine-xl-2.0)
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The source page is shown below.
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<h1 class="title">
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<span>Animagine XL 2.0</span>
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</h1>
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