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---
language:
- en
thumbnail: "https://huggingface.co/wavymulder/wavyfusion/resolve/main/images/page1.jpg"
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
**Wavyfusion**
[*CKPT 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`
# Gradio
We support a [Gradio](https://github.com/gradio-app/gradio) Web UI to run wavyfusion:
[](https://huggingface.co/spaces/akhaliq/wavyfusion)
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)
[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)
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