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 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).

floralPatterns-v10:

This model was trained to generate floral patterns.

Join our Discord for any questions or feedback!

Prompting

Use the word "pattern" to trigger the style. You can also use negative prompt to get rid of unwanted colors if the positive prompt isn't providing enough control.

Example prompts

A yellow and pink pattern with flowers on white background

A yellow and pink pattern with birds and flowers on white background

A black and white pattern of butterflies in a jungle

The example images were all generated with fairly simple prompts, but feel free to experiment with more complex prompts as well as negative prompts.

Settings

Resolution must be 768 x 768 for best results

Sample images were generated with CFG = 11 and 75 inference steps.

Inference settings otherwise shouldn’t matter too much.