wavymulder
Use activation token wa-vy style at the start of your prompt to incite the effect.
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.
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
What is Wavyfusion?
Wavyfusion is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user wavymulder. Derived from the powerful Stable Diffusion (SD 1.5) model, Wavyfusion has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that Wavyfusion is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as general purpose, style, paintings.
With a rating of 4.8 and over 5 ratings, Wavyfusion is a popular choice among users for generating high-quality images from text prompts.
Can I download Wavyfusion?
Yes! You can download the latest version of Wavyfusion from here.
How to use Wavyfusion?
To use Wavyfusion, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like Wavyfusion, check out our crash course in AI image generation.
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Latest version (V1): 1 File
About this version: V1
Trained from 1.5 with VAE.
1 Version
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