metadata

license: creativeml-openrail-m
tags:
  - coreml
  - stable-diffusion
  - text-to-image
duplicated_from: coreml/coreml-cyberrealistic-v32_cn

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.
The vae-ft-mse-840000-ema-pruned.ckpt VAE is embedded into the model.
This model was converted with a vae-encoder for use with image2image.
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).
This model can be used with ControlNet.

cyberrealistic-v32_cn:

Source(s): CivitAI

CyberRealistic v3.2

Introducing my versatile photorealistic model - the result of a rigorous testing process that blends various models to achieve the desired output. While I cannot recall all of the individual components used in its creation, I am immensely satisfied with the end result. This model incorporates several custom elements, adding an extra layer of uniqueness to its output.

One of the model's key strengths lies in its ability to effectively process textual inversions and LORA, providing accurate and detailed outputs. Additionally, the model requires minimal prompts, making it incredibly user-friendly and accessible.

In this version, the core remains unchanged, although several new techniques have been introduced and certain elements have been added or removed.

Once again, it's important to note that this version is not intended as a replacement for version 3.1, but rather as an alternative version.

VAE recommended: sd-vae-ft-mse-original. (Note: The VAE has been baked into the files at this repo.)