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wavymulder/wavyfusion/README.md
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---
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language:
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- en
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thumbnail: "https://huggingface.co/wavymulder/wavyfusion/resolve/main/images/page1.jpg"
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license: creativeml-openrail-m
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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inference: true
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---
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**Wavyfusion**
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[*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.
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In your prompt, use the activation token: `wa-vy style`
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# Gradio
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We support a [Gradio](https://github.com/gradio-app/gradio) Web UI to run wavyfusion:
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[](https://huggingface.co/spaces/akhaliq/wavyfusion)
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We use wa-vy instead of wavy because 'wavy style' introduced unwanted oceans and wavy hair.
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Trained from 1.5 with VAE.
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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)
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[And here is an batch of 49 images (not cherrypicked) in both euler_a and DPM++ 2M Karras](https://imgur.com/a/rBft6mw)
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Special thanks to [Nitrosocke](https://huggingface.co/nitrosocke) and [Guizmus](https://huggingface.co/Guizmus)
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