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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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# 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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- Models that are 32 bit will have "fp32" in the filename. |
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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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# SNVHS: |
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Source(s): [CivitAI](https://civitai.com/models/15057/snvhsv1) |
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Model trained on liminal space pictures I took after applying a simple VHS filter on it, using https://civitai.com/models/13941/epinoiseoffset in combination with this model works well! |
