---
license: creativeml-openrail-m
tags:
- coreml
- stable-diffusion
- text-to-image
---
# Core ML Converted Model:
- 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).
- 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.
- `split_einsum` version is compatible with all compute unit options including Neural Engine.
- `original` version is only compatible with `CPU & GPU` option.
- Custom resolution versions are tagged accordingly.
- The `vae-ft-mse-840000-ema-pruned.ckpt` vae is embedded into the model.
- This model was converted with a `vae-encoder` for `image2image`.
- This model is `fp16`.
- Descriptions are posted as-is from original model source.
- Not all features and/or results may be available in CoreML format.
- This model does not have the [unet split into chunks](https://github.com/apple/ml-stable-diffusion#-converting-models-to-core-ml).
- This model does not include a safety checker (for NSFW content).
# floralPatterns-v10:
Source(s): [Hugging Face](https://huggingface.co/Mobius-labs/floral_pattern) - [CivitAI](https://civitai.com/models/26295/floral-patterns)
This model was trained to generate floral patterns.
Join our [Discord](https://discord.gg/qM84dzKC) for any questions or feedback!
**Prompting**
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.
Example prompts
A yellow and pink pattern with flowers on white background
A yellow and pink pattern with birds and flowers on white background
A black and white pattern of butterflies in a jungle
The example images were all generated with fairly simple prompts, but feel free to experiment with more complex prompts as well as negative prompts.
**Settings**
Resolution must be **768 x 768** for best results
Sample images were generated with CFG = 11 and 75 inference steps.
Inference settings otherwise shouldn’t matter too much.
