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 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).