Instructions to use wavymulder/wavyfusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wavymulder/wavyfusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wavymulder/wavyfusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download README.md from wavymulder/wavyfusion: direct link, hf CLI and curl.
- Browser
- Download file 1.9 kB
-
https://huggingface.co/wavymulder/wavyfusion/resolve/32abe8d6dd1f6eede50f76cbd9487037edbd7c08/README.md
- Command line
-
hf download hf://wavymulder/wavyfusion@32abe8d6dd1f6eede50f76cbd9487037edbd7c08/README.md
-
curl -L -o README.md https://huggingface.co/wavymulder/wavyfusion/resolve/32abe8d6dd1f6eede50f76cbd9487037edbd7c08/README.md
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 - 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 Web UI to run 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.
And here is an batch of 49 images (not cherrypicked) in both euler_a and DPM++ 2M Karras
Special thanks to Nitrosocke and Guizmus

