---
license: creativeml-openrail-m
thumbnail: "https://huggingface.co/wavymulder/wavyfusion/resolve/main/images/page1.jpg"
tags:
- stable-diffusion
- text-to-image
- illustration
- wavy-diffusion
---

**Wavyfusion**
![Header](https://huggingface.co/wavymulder/wavyfusion/resolve/main/images/page1.jpg)
[*DOWNLOAD LINK*](https://huggingface.co/wavymulder/wavyfusion/resolve/main/wa-vy-fusion_1.0.ckpt) - 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.](https://huggingface.co/wavymulder/wavyfusion/resolve/main/prompts_for_examples.md)

![Character Example](https://huggingface.co/wavymulder/wavyfusion/resolve/main/images/page2.jpg)
![Landscape Example](https://huggingface.co/wavymulder/wavyfusion/resolve/main/images/page3.jpg)

[And here is an batch of 49 images (not cherrypicked) in both euler_a and DPM++ 2M Karras](https://imgur.com/a/rBft6mw)

Special thanks to [Nitrosocke](https://huggingface.co/nitrosocke) and [Guizmus](https://huggingface.co/Guizmus)