# 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.
  - `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.
  - 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.
  - This model is fp16.
  - 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)


# ez-v10
Source(s): [CivitAI](https://civitai.com/models/20143/ez)

Trained and Mixed model for photorealism.

Recommended sampler:  UniPC, DPM++ 2M Karras

Low CFG scale is recommended:  2 - 5

Recommended VAE:  vae-ft-mse-840000-ema-pruned

Used Models:  SD 1.5 (trained), Anything 3.0 (merged->trained), Anything 4.5 (merged), and some other trained models were merged

![image](https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c4d7d881-333f-4517-97b4-fde23727f700/width=400/259931)

![image](https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/799e0597-e1cb-4589-0ac8-4ae7e93cb800/width=400/259930)
{"license": "creativeml-openrail-m", "tags": ["coreml", "stable-diffusion", "text-to-image", "not-for-all-eyes"]}
coreml stable-diffusion text-to-image not-for-all-eyes license:creativeml-openrail-m region:us
TAGS
#coreml #stable-diffusion #text-to-image #not-for-all-eyes #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.
  - 'original' version is only compatible with CPU & GPU option.
  - Custom resolution versions are tagged accordingly.
  - The 'URL' vae is 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.
  - This model is fp16.
  - This model does not have the unet split into chunks.
  - This model does not include a safety checker (for NSFW content)


# ez-v10
Source(s): CivitAI

Trained and Mixed model for photorealism.

Recommended sampler:  UniPC, DPM++ 2M Karras

Low CFG scale is recommended:  2 - 5

Recommended VAE:  vae-ft-mse-840000-ema-pruned

Used Models:  SD 1.5 (trained), Anything 3.0 (merged->trained), Anything 4.5 (merged), and some other trained models were merged

!image

!image
# 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.
  - 'original' version is only compatible with CPU & GPU option.
  - Custom resolution versions are tagged accordingly.
  - The 'URL' vae is 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.
  - This model is fp16.
  - This model does not have the unet split into chunks.
  - This model does not include a safety checker (for NSFW content) # ez-v10
Source(s): CivitAI

Trained and Mixed model for photorealism.

Recommended sampler:  UniPC, DPM++ 2M Karras

Low CFG scale is recommended:  2 - 5

Recommended VAE:  vae-ft-mse-840000-ema-pruned

Used Models:  SD 1.5 (trained), Anything 3.0 (merged->trained), Anything 4.5 (merged), and some other trained models were merged

!image

!image
TAGS
#coreml #stable-diffusion #text-to-image #not-for-all-eyes #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.
  - 'original' version is only compatible with CPU & GPU option.
  - Custom resolution versions are tagged accordingly.
  - The 'URL' vae is 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.
  - This model is fp16.
  - This model does not have the unet split into chunks.
  - This model does not include a safety checker (for NSFW content) # ez-v10
Source(s): CivitAI

Trained and Mixed model for photorealism.

Recommended sampler:  UniPC, DPM++ 2M Karras

Low CFG scale is recommended:  2 - 5

Recommended VAE:  vae-ft-mse-840000-ema-pruned

Used Models:  SD 1.5 (trained), Anything 3.0 (merged->trained), Anything 4.5 (merged), and some other trained models were merged

!image

!image
TAGS
#coreml #stable-diffusion #text-to-image #not-for-all-eyes #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.
  - 'original' version is only compatible with CPU & GPU option.
  - Custom resolution versions are tagged accordingly.
  - The 'URL' vae is 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.
  - This model is fp16.
  - This model does not have the unet split into chunks.
  - This model does not include a safety checker (for NSFW content)# ez-v10
Source(s): CivitAI

Trained and Mixed model for photorealism.

Recommended sampler:  UniPC, DPM++ 2M Karras

Low CFG scale is recommended:  2 - 5

Recommended VAE:  vae-ft-mse-840000-ema-pruned

Used Models:  SD 1.5 (trained), Anything 3.0 (merged->trained), Anything 4.5 (merged), and some other trained models were merged

!image

!image