cjwbw / wavyfusion

dreambooth trained on a very diverse dataset ranging from photographs to paintings

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Examples

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Run time and cost

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 26 seconds. The predict time for this model varies significantly based on the inputs.

Readme

weights from https://huggingface.co/wavymulder/wavyfusion

Wavyfusion Header CKPT DOWNLOAD LINK - This is a dreambooth trained on a very diverse dataset ranging from photographs to paintings. The goal was to make a varied, general purpose model for illustrated styles.

In your prompt, use the activation token: wa-vy style

We use wa-vy instead of wavy because ‘wavy style’ introduced unwanted oceans and wavy hair.

Trained from 1.5 with VAE.

There are a lot of cool styles you can achieve with this model. Please see this document where I share the parameters (prompt, sampler, seed, etc.) used for all example images.

Character Example Landscape Example

And here is an batch of 49 images (not cherrypicked) in both euler_a and DPM++ 2M Karras

Special thanks to Nitrosocke and Guizmus