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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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- This model was converted with a `vae-encoder` for use with `image2image`. |
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- This model is `fp16`. |
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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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# SDHK |
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Sources: [Hugging Face](https://huggingface.co/852wa/SDHK) - [CivitAI](https://civitai.com/models/82813/sdhk)</br> |
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I'll explain the 'SDHK'. This experimental model is fine-tuned on a small number of images outputted by the nijijourney v5 AI against SD1.5. |
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<!-- I recommend you to use 'Hires.fix' and the 'NGH' or 'ngng00' embedding for negative prompts.!--> |
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# Examples |
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# SDHKv4 |
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<img src=https://huggingface.co/coreml/coreml-SDHK_cn/resolve/main/SampleV41.jpeg> |
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<img src=https://huggingface.co/coreml/coreml-SDHK_cn/resolve/main/SampleV42.jpeg> |
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<br> |
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# SDHKv3 |
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<img src=https://huggingface.co/coreml/coreml-SDHK_cn/resolve/main/SampleV31.jpeg> |
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<img src=https://huggingface.co/coreml/coreml-SDHK_cn/resolve/main/SampleV32.jpeg> |
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