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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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