---
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.
  - This model was converted with a `vae-encoder` for use with `image2image`.
  - This model is `fp16`.
  - 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).
  - This model can be used with ControlNet.

<br>

# SDHK

Sources: [Hugging Face](https://huggingface.co/852wa/SDHK) - [CivitAI](https://civitai.com/models/82813/sdhk)</br>
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. 
<!-- I recommend you to use 'Hires.fix' and the 'NGH' or 'ngng00' embedding for negative prompts.!-->


# Examples
# SDHKv4
<img src=https://huggingface.co/coreml/coreml-SDHK_cn/resolve/main/SampleV41.jpeg>
<img src=https://huggingface.co/coreml/coreml-SDHK_cn/resolve/main/SampleV42.jpeg>
<br>

# SDHKv3
<img src=https://huggingface.co/coreml/coreml-SDHK_cn/resolve/main/SampleV31.jpeg>
<img src=https://huggingface.co/coreml/coreml-SDHK_cn/resolve/main/SampleV32.jpeg>