# 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).<br>
  - 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>
  - `split_einsum` version is compatible with all compute unit options including Neural Engine.<br>
  - `original` version is only compatible with CPU & GPU option.<br>
  - Custom resolution versions are tagged accordingly.<br>
  - `vae` tagged files have a vae embedded into the model.<br>
  - Descriptions are posted as-is from original model source. Not all features and/or results may be available in CoreML format.<br>
  - This model was converted with `vae-encoder` for i2i.
  
# Note: Some models do not have the [unet split into chunks](https://github.com/apple/ml-stable-diffusion#-converting-models-to-core-ml).

# EvoArt-Mj4DreamMix:
Source(s): [CivitAI](https://civitai.com/models/4042/evoart-mj4dreammix)

It is a Remix Model of some MJ4 style models like openjourney-v2 and other amazing models, specially with 3DKX model,and a little more 768+model in weight. so it can handle high-resolution output well.

I found it is a good effect when two similar style plus together. so you may look it as the mJ4-enhanced model.

To enhance the output,you can use "midjourney style" in the beginning of your prompt as trigger. Hypernetwork is not suggested，but <0.3 may lead to a different effect.
{"license": "creativeml-openrail-m", "tags": ["coreml", "stable-diffusion", "text-to-image"]}
coreml stable-diffusion text-to-image license:creativeml-openrail-m region:us
TAGS
#coreml #stable-diffusion #text-to-image #license-creativeml-openrail-m #region-us 

# Core ML Converted Model:

  - This model was converted to Core ML for use on Apple Silicon devices. Conversion instructions can be found here.<br>
  - Provide the model to an app such as Mochi Diffusion Github - Discord to generate images.<br>
  - 'split_einsum' version is compatible with all compute unit options including Neural Engine.<br>
  - 'original' version is only compatible with CPU & GPU option.<br>
  - Custom resolution versions are tagged accordingly.<br>
  - 'vae' tagged files have a vae embedded into the model.<br>
  - Descriptions are posted as-is from original model source. Not all features and/or results may be available in CoreML format.<br>
  - This model was converted with 'vae-encoder' for i2i.
  
# Note: Some models do not have the unet split into chunks.

# EvoArt-Mj4DreamMix:
Source(s): CivitAI

It is a Remix Model of some MJ4 style models like openjourney-v2 and other amazing models, specially with 3DKX model,and a little more 768+model in weight. so it can handle high-resolution output well.

I found it is a good effect when two similar style plus together. so you may look it as the mJ4-enhanced model.

To enhance the output,you can use "midjourney style" in the beginning of your prompt as trigger. Hypernetwork is not suggested，but <0.3 may lead to a different effect.
# Core ML Converted Model:

  - This model was converted to Core ML for use on Apple Silicon devices. Conversion instructions can be found here.<br>
  - Provide the model to an app such as Mochi Diffusion Github - Discord to generate images.<br>
  - 'split_einsum' version is compatible with all compute unit options including Neural Engine.<br>
  - 'original' version is only compatible with CPU & GPU option.<br>
  - Custom resolution versions are tagged accordingly.<br>
  - 'vae' tagged files have a vae embedded into the model.<br>
  - Descriptions are posted as-is from original model source. Not all features and/or results may be available in CoreML format.<br>
  - This model was converted with 'vae-encoder' for i2i. # Note: Some models do not have the unet split into chunks. # EvoArt-Mj4DreamMix:
Source(s): CivitAI

It is a Remix Model of some MJ4 style models like openjourney-v2 and other amazing models, specially with 3DKX model,and a little more 768+model in weight. so it can handle high-resolution output well.

I found it is a good effect when two similar style plus together. so you may look it as the mJ4-enhanced model.

To enhance the output,you can use "midjourney style" in the beginning of your prompt as trigger. Hypernetwork is not suggested，but <0.3 may lead to a different effect.
TAGS
#coreml #stable-diffusion #text-to-image #license-creativeml-openrail-m #region-us 
 # Core ML Converted Model:

  - This model was converted to Core ML for use on Apple Silicon devices. Conversion instructions can be found here.<br>
  - Provide the model to an app such as Mochi Diffusion Github - Discord to generate images.<br>
  - 'split_einsum' version is compatible with all compute unit options including Neural Engine.<br>
  - 'original' version is only compatible with CPU & GPU option.<br>
  - Custom resolution versions are tagged accordingly.<br>
  - 'vae' tagged files have a vae embedded into the model.<br>
  - Descriptions are posted as-is from original model source. Not all features and/or results may be available in CoreML format.<br>
  - This model was converted with 'vae-encoder' for i2i. # Note: Some models do not have the unet split into chunks. # EvoArt-Mj4DreamMix:
Source(s): CivitAI

It is a Remix Model of some MJ4 style models like openjourney-v2 and other amazing models, specially with 3DKX model,and a little more 768+model in weight. so it can handle high-resolution output well.

I found it is a good effect when two similar style plus together. so you may look it as the mJ4-enhanced model.

To enhance the output,you can use "midjourney style" in the beginning of your prompt as trigger. Hypernetwork is not suggested，but <0.3 may lead to a different effect.
TAGS
#coreml #stable-diffusion #text-to-image #license-creativeml-openrail-m #region-us 
# Core ML Converted Model:

  - This model was converted to Core ML for use on Apple Silicon devices. Conversion instructions can be found here.<br>
  - Provide the model to an app such as Mochi Diffusion Github - Discord to generate images.<br>
  - 'split_einsum' version is compatible with all compute unit options including Neural Engine.<br>
  - 'original' version is only compatible with CPU & GPU option.<br>
  - Custom resolution versions are tagged accordingly.<br>
  - 'vae' tagged files have a vae embedded into the model.<br>
  - Descriptions are posted as-is from original model source. Not all features and/or results may be available in CoreML format.<br>
  - This model was converted with 'vae-encoder' for i2i.# Note: Some models do not have the unet split into chunks.# EvoArt-Mj4DreamMix:
Source(s): CivitAI

It is a Remix Model of some MJ4 style models like openjourney-v2 and other amazing models, specially with 3DKX model,and a little more 768+model in weight. so it can handle high-resolution output well.

I found it is a good effect when two similar style plus together. so you may look it as the mJ4-enhanced model.

To enhance the output,you can use "midjourney style" in the beginning of your prompt as trigger. Hypernetwork is not suggested，but <0.3 may lead to a different effect.