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

# LibreEros:
Source(s): [CivitAI](https://civitai.com/models/5369/libreeros)

Fast and furious model. NSFW.

The main goal is fast output on cheap/processor devices (512x512 images are created in about a minute on the Macbook Air M1).

Extremely pruned mix of well balanced Deliberate and charming Art & Eros (aEros) - A tribute to beauty. VAE included.

All examples are in low/medium resolution and posted AS IS. My dream is to see how this would work at a higher resolution, with more creative prompts.
{"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>
  
# Note: Some models do not have the unet split into chunks.

# LibreEros:
Source(s): CivitAI

Fast and furious model. NSFW.

The main goal is fast output on cheap/processor devices (512x512 images are created in about a minute on the Macbook Air M1).

Extremely pruned mix of well balanced Deliberate and charming Art & Eros (aEros) - A tribute to beauty. VAE included.

All examples are in low/medium resolution and posted AS IS. My dream is to see how this would work at a higher resolution, with more creative prompts.
# 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> # Note: Some models do not have the unet split into chunks. # LibreEros:
Source(s): CivitAI

Fast and furious model. NSFW.

The main goal is fast output on cheap/processor devices (512x512 images are created in about a minute on the Macbook Air M1).

Extremely pruned mix of well balanced Deliberate and charming Art & Eros (aEros) - A tribute to beauty. VAE included.

All examples are in low/medium resolution and posted AS IS. My dream is to see how this would work at a higher resolution, with more creative prompts.
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> # Note: Some models do not have the unet split into chunks. # LibreEros:
Source(s): CivitAI

Fast and furious model. NSFW.

The main goal is fast output on cheap/processor devices (512x512 images are created in about a minute on the Macbook Air M1).

Extremely pruned mix of well balanced Deliberate and charming Art & Eros (aEros) - A tribute to beauty. VAE included.

All examples are in low/medium resolution and posted AS IS. My dream is to see how this would work at a higher resolution, with more creative prompts.
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># Note: Some models do not have the unet split into chunks.# LibreEros:
Source(s): CivitAI

Fast and furious model. NSFW.

The main goal is fast output on cheap/processor devices (512x512 images are created in about a minute on the Macbook Air M1).

Extremely pruned mix of well balanced Deliberate and charming Art & Eros (aEros) - A tribute to beauty. VAE included.

All examples are in low/medium resolution and posted AS IS. My dream is to see how this would work at a higher resolution, with more creative prompts.