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+ ---
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+ license: other
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+ license_name: faipl-1.0-sd
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+ license_link: https://freedevproject.org/faipl-1.0-sd/
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+ language:
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+ - en
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+ tags:
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+ - text-to-image
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+ - stable-diffusion
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+ - safetensors
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+ - stable-diffusion-xl
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+ base_model: OnomaAIResearch/Illustrious-xl-early-release-v0
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+ ---
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+ <style>
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+ .title-container {
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+ display: flex;
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+ justify-content: center;
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+ align-items: center;
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+ height: 100vh; /* Adjust this value to position the title vertically */
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+ }
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+
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+ .title {
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+ font-size: 2.5em;
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+ text-align: center;
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+ color: #333;
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+ font-family: 'Helvetica Neue', sans-serif;
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+ text-transform: uppercase;
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+ letter-spacing: 0.1em;
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+ padding: 0.5em 0;
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+ background: transparent;
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+ }
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+
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+ .title span {
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+ background: -webkit-linear-gradient(45deg, #CB80AB, #AB886D);
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+ -webkit-background-clip: text;
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+ -webkit-text-fill-color: transparent;
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+ }
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+
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+ .custom-table {
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+ table-layout: fixed;
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+ width: 100%;
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+ border-collapse: collapse;
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+ margin-top: 2em;
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+ }
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+
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+ .custom-table td {
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+ width: 50%;
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+ vertical-align: top;
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+ padding: 10px;
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+ box-shadow: 0px 0px 0px 0px rgba(0, 0, 0, 0.15);
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+ }
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+
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+ .custom-image-container {
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+ position: relative;
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+ width: 100%;
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+ margin-bottom: 0em;
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+ overflow: hidden;
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+ border-radius: 10px;
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+ transition: transform .7s;
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+ }
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+
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+ .custom-image-container:hover {
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+ transform: scale(1.05);
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+ }
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+
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+ .custom-image {
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+ width: 100%;
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+ height: auto;
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+ object-fit: cover;
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+ border-radius: 10px;
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+ transition: transform .7s;
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+ margin-bottom: 0em;
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+ }
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+
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+ .nsfw-filter {
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+ filter: blur(8px);
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+ transition: filter 0.3s ease;
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+ }
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+
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+ .custom-image-container:hover .nsfw-filter {
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+ filter: none;
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+ }
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+
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+ .overlay {
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+ position: absolute;
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+ bottom: 0;
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+ left: 0;
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+ right: 0;
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+ color: white;
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+ width: 100%;
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+ height: 40%;
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+ display: flex;
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+ flex-direction: column;
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+ justify-content: center;
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+ align-items: center;
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+ font-size: 1vw;
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+ font-style: bold;
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+ text-align: center;
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+ opacity: 0;
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+ background: linear-gradient(0deg, rgba(0, 0, 0, 0.8) 60%, rgba(0, 0, 0, 0) 100%);
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+ transition: opacity .5s;
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+ }
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+
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+ .custom-image-container:hover .overlay {
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+ opacity: 1;
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+ }
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+
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+ .overlay-text {
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+ background: linear-gradient(45deg, #F1F8E8, #F1F8E8);
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+ -webkit-background-clip: text;
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+ color: transparent;
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+ text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.7);
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+ }
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+
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+ .overlay-subtext {
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+ font-size: 0.75em;
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+ margin-top: 0.5em;
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+ font-style: italic;
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+ }
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+
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+ .overlay,
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+ .overlay-subtext {
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+ text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.5);
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+ }
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+ </style>
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+
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+ <h1 class="title">
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+ <span>Raehoshi illust XL</span>
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+ </h1>
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+
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+ <table class="custom-table">
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+ <tr>
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+ <td>
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+ <div class="custom-image-container">
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+ <img class="custom-image" src="https://cdn-uploads.huggingface.co/production/uploads/64b24543eec33e27dc9a6eca/LvchW9oQFPaqAViwsugE3.png" alt="Sample Image 1">
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+ <div class="overlay">
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+ <div class="overlay-text">Changli</div>
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+ </div>
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+ </div>
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+ </td>
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+ <td>
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+ <div class="custom-image-container">
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+ <img class="custom-image" src="https://cdn-uploads.huggingface.co/production/uploads/64b24543eec33e27dc9a6eca/euiTvkHQ9hoqTu2fRFvkS.png" alt="Sample Image 2">
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+ <div class="overlay">
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+ <div class="overlay-text">Jane Doe</div>
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+ </div>
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+ </div>
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+ </td>
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+ <td>
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+ <div class="custom-image-container">
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+ <img class="custom-image" src="https://cdn-uploads.huggingface.co/production/uploads/64b24543eec33e27dc9a6eca/iwwZTKqRmc1s0sBfbWpds.png" alt="Sample Image 3">
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+ <div class="overlay">
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+ <div class="overlay-text">Raora Panthera</div>
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+ </div>
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+ </div>
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+ </td>
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+ </tr>
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+ <tr>
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+ <td>
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+ <div class="custom-image-container">
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+ <img class="custom-image" src="https://cdn-uploads.huggingface.co/production/uploads/64b24543eec33e27dc9a6eca/YnqYRkB4pn7OUS9XY7K_o.png" alt="Sample Image 4">
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+ <div class="overlay">
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+ <div class="overlay-text">Alisa Mikhailovna Kujou</div>
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+ </div>
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+ </div>
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+ </td>
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+ <td>
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+ <div class="custom-image-container">
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+ <img class="custom-image" src="https://cdn-uploads.huggingface.co/production/uploads/64b24543eec33e27dc9a6eca/gtbbfmKDbZ2baXt1E3fIL.png" alt="Sample Image 5">
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+ <div class="overlay">
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+ <div class="overlay-text">Feixiao</div>
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+ </div>
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+ </div>
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+ </td>
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+ <td>
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+ <div class="custom-image-container">
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+ <img class="custom-image" src="https://cdn-uploads.huggingface.co/production/uploads/64b24543eec33e27dc9a6eca/GhbVNdOjx833Rq4gMdtZU.png" alt="Sample Image 6">
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+ <div class="overlay">
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+ <div class="overlay-text">Otonose Kanade</div>
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+ </div>
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+ </div>
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+ </td>
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+ </tr>
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+ </table>
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+
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+ ## Overview
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+ Introducing **Raehoshi illust XL** , an enhanced iteration built upon the Illustrious XL v0.1 model. It aims to elevate the visual style by addressing some of the limitations in the original, such as oversaturation and artifact noise. While these issues are not entirely eliminated, noticeable improvements have been made, and further refinements will continue. The goal is to deliver a more polished, balanced output while staying true to the strengths of the base model.
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+
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+ ## Model Details
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+ - **Developed by**: [Raelina](https://civitai.com/user/Raelina)
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+ - **Model type**: Diffusion-based text-to-image generative model
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+ - **Model prompt style**: Booru-tags
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+ - **License**: [Fair AI Public License 1.0-SD](https://freedevproject.org/faipl-1.0-sd/)
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+ - **Finetuned from**: [Illustrious XL v0.1](https://huggingface.co/OnomaAIResearch/Illustrious-xl-early-release-v0)
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+
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+
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+ ## Recommended settings
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+
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+ - **Positive prompts:**
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+
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+ ```
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+ masterpiece, best quality, good quality,
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+ ```
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+
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+ - **Negative prompts:**
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+ ```
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+ (bad quality, worst quality:1.2), lowres, bad anatomy, sketch, jpeg artifacts, ugly, poorly drawn, signature, watermark,
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+ ```
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+
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+ - **CFG:** 7
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+ - **Sampling steps:** 28
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+ - **Sampler:** Euler a
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+ - **Supported Resolution:**
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+ ```
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+ 1024 x 1024, 1152 x 896, 896 x 1152, 1216 x 832, 832 x 1216, 1344 x 768, 768 x 1344, 1536 x 640, 640 x 1536
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+ ```
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+
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+ ## Hires.fix Setting
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+ - **Upscaler:** [4x_NMKD-YandereNeoXL](https://nmkd.de/?esrgan)
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+ - **Hires step:** 10-15
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+ - **Denoising:** 0.1-0.3 or 0.55 for latent upscaler
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+
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+ ## Training config
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+ The model was developed using a two-stage fine-tuning process. In Stage 1, new series and characters were introduced into the model. Stage 2 focused on fixing issues and enhancing the overall style for improved output.
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+
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+ Stage 1
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+ - Dataset : 31k
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+ - Hardware : 2x A100 80gb
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+ - Batch size : 32
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+ - Gradient accumulation steps : 2
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+ - Learning rate : 6e-6
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+ - Text encoder : 3e-6
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+ - Epoch : 15
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+
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+ Stage 2
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+ - Dataset : 2.5k
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+ - Hardware : 1x A100 80gb
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+ - Batch size : 48
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+ - Gradient accumulation steps : 1
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+ - Learning rate : 3e-6
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+ - Text encoder : disable
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+ - Epoch : 15
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+
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+
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+ ## License
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+
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+ [Fair AI Public License 1.0-SD](https://freedevproject.org/faipl-1.0-sd/)