Core ML Converted Model:

• This model was converted to Core ML for use on Apple Silicon devices. Conversion instructions can be found here.
  
• Provide the model to an app such as Mochi Diffusion Github - Discord 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.
  
• vae tagged files have a vae embedded into the model.
  
• Descriptions are posted as-is from original model source. Not all features and/or results may be available in CoreML format.
  
• This model was converted with vae-encoder for i2i.
• Models that are 32 bit will have "fp32" in the filename.

Note: Some models do not have the [unet split into chunks](https://github.com/apple/ml-stable-diffusion#-converting-models-to-core-ml).

MODELNAME:

Source(s): CivitAI

Model mix aims to create the most realistic and natural images possible. It's currently in the testing process, so please comment.

Guide:

For the settings or parameters, I recommend using these settings.

Sampler: DPM++ SDE Karras or Ruler a

Steps: 20 for portrait, 30 for full body

CFG Scale: 7-10

List models:

guofeng3_v32Light

pastelMixStylizedAnime_pastelMixPrunedFP16

goodAsianGirlFace_goodAsianGirlFaceV12

Basil_mix_fixed

List existing VAEs:

vae-ft-mse-840000-ema-pruned

emaPrunedVAE_emaPruned

LORA is not added yet