# 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.
  - This model was converted with a `vae-encoder` for i2i.
  - 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).

# Vivid-Watercolors-v10:
Source(s): [CivitAI](https://civitai.com/models/4998/vivid-watercolors)

Introducing my new Vivid Watercolors dreambooth model.

The model is trained with beautiful, artist-agnostic watercolor images using the midjourney method.

The token is:  "wtrcolor style"

It can be challenging to use, but with the right prompts, but it can create stunning artwork.

See an example prompt that I use in tests:

wtrcolor style, Digital art of (subject), official art, frontal, smiling, masterpiece, Beautiful, watercolor, face paint, paint splatter, intricate details. Highly detailed, detailed eyes, dripping, trending on artstation by [artist]

Using "watercolor" in the prompt is necessary to get a good watercolor texture, try words like face (paint, paint splatter, dripping).<br><br>


![image](https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5206c334-b714-452e-e160-84c16e223600/width=400/01893-3282318438-wtrcolor%20style,%20Digital%20art%20of%20(dog%20character),%20official%20art,%20frontal,%20smiling,%20masterpiece,%20Beautiful,%20((watercolor)),%20face%20pai.png)

![image](https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6f7ca753-00ce-44c8-ca04-f6e38b562c00/width=400/01798-352490785-wtrcolor%20style,%20Digital%20art%20of%20(Margot%20Robie%20as%20Harley%20Queen)%20official%20art,%20frontal,%20smiling,%20masterpiece,%20Beautiful,%20watercolor.png)

![image](https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f28734ae-fbac-4773-2ef0-e24868158d00/width=400/01789-313339253-wtrcolor%20style,%20Beautiful%20girl%20walking%20on%20the%20street,%20watercolor.png)

{"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.
  - 'original' version is only compatible with CPU & GPU option.
  - Custom resolution versions are tagged accordingly.
  - The 'URL' vae is embedded into the model.
  - This model was converted with a 'vae-encoder' for i2i.
  - 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.
  - This model does not include a safety checker (for NSFW content).

# Vivid-Watercolors-v10:
Source(s): CivitAI

Introducing my new Vivid Watercolors dreambooth model.

The model is trained with beautiful, artist-agnostic watercolor images using the midjourney method.

The token is:  "wtrcolor style"

It can be challenging to use, but with the right prompts, but it can create stunning artwork.

See an example prompt that I use in tests:

wtrcolor style, Digital art of (subject), official art, frontal, smiling, masterpiece, Beautiful, watercolor, face paint, paint splatter, intricate details. Highly detailed, detailed eyes, dripping, trending on artstation by [artist]

Using "watercolor" in the prompt is necessary to get a good watercolor texture, try words like face (paint, paint splatter, dripping).<br><br>


!image,%20official%20art,%20frontal,%20smiling,%20masterpiece,%20Beautiful,%20((watercolor)),%20face%URL)

!image%20official%20art,%20frontal,%20smiling,%20masterpiece,%20Beautiful,%URL)

!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.
  - This model was converted with a 'vae-encoder' for i2i.
  - 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.
  - This model does not include a safety checker (for NSFW content). # Vivid-Watercolors-v10:
Source(s): CivitAI

Introducing my new Vivid Watercolors dreambooth model.

The model is trained with beautiful, artist-agnostic watercolor images using the midjourney method.

The token is:  "wtrcolor style"

It can be challenging to use, but with the right prompts, but it can create stunning artwork.

See an example prompt that I use in tests:

wtrcolor style, Digital art of (subject), official art, frontal, smiling, masterpiece, Beautiful, watercolor, face paint, paint splatter, intricate details. Highly detailed, detailed eyes, dripping, trending on artstation by [artist]

Using "watercolor" in the prompt is necessary to get a good watercolor texture, try words like face (paint, paint splatter, dripping).<br><br>


!image,%20official%20art,%20frontal,%20smiling,%20masterpiece,%20Beautiful,%20((watercolor)),%20face%URL)

!image%20official%20art,%20frontal,%20smiling,%20masterpiece,%20Beautiful,%URL)

!image
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.
  - 'original' version is only compatible with CPU & GPU option.
  - Custom resolution versions are tagged accordingly.
  - The 'URL' vae is embedded into the model.
  - This model was converted with a 'vae-encoder' for i2i.
  - 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.
  - This model does not include a safety checker (for NSFW content). # Vivid-Watercolors-v10:
Source(s): CivitAI

Introducing my new Vivid Watercolors dreambooth model.

The model is trained with beautiful, artist-agnostic watercolor images using the midjourney method.

The token is:  "wtrcolor style"

It can be challenging to use, but with the right prompts, but it can create stunning artwork.

See an example prompt that I use in tests:

wtrcolor style, Digital art of (subject), official art, frontal, smiling, masterpiece, Beautiful, watercolor, face paint, paint splatter, intricate details. Highly detailed, detailed eyes, dripping, trending on artstation by [artist]

Using "watercolor" in the prompt is necessary to get a good watercolor texture, try words like face (paint, paint splatter, dripping).<br><br>


!image,%20official%20art,%20frontal,%20smiling,%20masterpiece,%20Beautiful,%20((watercolor)),%20face%URL)

!image%20official%20art,%20frontal,%20smiling,%20masterpiece,%20Beautiful,%URL)

!image
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.
  - 'original' version is only compatible with CPU & GPU option.
  - Custom resolution versions are tagged accordingly.
  - The 'URL' vae is embedded into the model.
  - This model was converted with a 'vae-encoder' for i2i.
  - 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.
  - This model does not include a safety checker (for NSFW content).# Vivid-Watercolors-v10:
Source(s): CivitAI

Introducing my new Vivid Watercolors dreambooth model.

The model is trained with beautiful, artist-agnostic watercolor images using the midjourney method.

The token is:  "wtrcolor style"

It can be challenging to use, but with the right prompts, but it can create stunning artwork.

See an example prompt that I use in tests:

wtrcolor style, Digital art of (subject), official art, frontal, smiling, masterpiece, Beautiful, watercolor, face paint, paint splatter, intricate details. Highly detailed, detailed eyes, dripping, trending on artstation by [artist]

Using "watercolor" in the prompt is necessary to get a good watercolor texture, try words like face (paint, paint splatter, dripping).<br><br>


!image,%20official%20art,%20frontal,%20smiling,%20masterpiece,%20Beautiful,%20((watercolor)),%20face%URL)

!image%20official%20art,%20frontal,%20smiling,%20masterpiece,%20Beautiful,%URL)

!image