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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).<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. |
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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 `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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# floralPatterns-v10: |
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Source(s): [Hugging Face](https://huggingface.co/Mobius-labs/floral_pattern) - [CivitAI](https://civitai.com/models/26295/floral-patterns) |
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This model was trained to generate floral patterns. |
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Join our [Discord](https://discord.gg/qM84dzKC) for any questions or feedback! |
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**Prompting** |
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Use the word **"pattern"** to trigger the style. You can also use negative prompt to get rid of unwanted colors if the positive prompt isn't providing enough control. |
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Example prompts |
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A yellow and pink pattern with flowers on white background |
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A yellow and pink pattern with birds and flowers on white background |
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A black and white pattern of butterflies in a jungle |
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The example images were all generated with fairly simple prompts, but feel free to experiment with more complex prompts as well as negative prompts. |
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**Settings** |
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Resolution must be **768 x 768** for best results |
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Sample images were generated with CFG = 11 and 75 inference steps. |
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Inference settings otherwise shouldn’t matter too much. |
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