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+ ---
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+ language:
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+ - en
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+ pipeline_tag: text-to-image
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+ library_name: diffusers
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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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+ - merge
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+ license: openrail++
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+ ---
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+
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+ <style>
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+ .container {
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+ display: flex;
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+ gap: 2rem;
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+ align-items: flex-start;
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+ }
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+ .image-wrapper,
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+ .details {
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+ flex: 1 1 50%;
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+ }
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+ .image-wrapper {
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+ display: flex;
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+ justify-content: center;
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+ align-items: center;
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+ }
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+ .model-image {
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+ width: 100%;
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+ max-width: 500px;
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+ min-width: 300px;
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+ border-radius: 8px;
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+ box-shadow: 0 8px 20px rgba(0, 0, 0, 0.3);
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+ }
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+ .details h1 {
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+ margin-top: 0;
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+ font-size: 2rem;
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+ color: #fff;
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+ }
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+ .details .description {
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+ margin: 0.5rem 0 1.5rem;
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+ line-height: 1.5;
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+ color: #ccc;
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+ }
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+ .features-list {
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+ list-style: none;
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+ padding: 0;
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+ margin: 0 0 1.5rem;
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+ }
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+ .features-list li {
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+ display: flex;
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+ align-items: center;
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+ margin-bottom: 0.5rem;
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+ font-size: 1rem;
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+ color: #fff;
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+ }
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+ .features-list .icon {
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+ margin-right: 0.6rem;
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+ font-size: 1.2rem;
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+ }
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+ .badge-list {
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+ list-style: none;
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+ padding: 0;
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+ margin: 0;
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+ display: flex;
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+ flex-wrap: wrap;
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+ row-gap: 0.25rem;
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+ column-gap: 0.5rem;
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+ }
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+ .badge-list li {
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+ margin: 0;
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+ }
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+ .badge-btn {
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+ display: inline-flex;
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+ align-items: center;
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+ height: 28px;
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+ padding: 0 10px;
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+ font-size: 14px;
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+ font-weight: 500;
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+ color: #fff;
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+ text-decoration: none;
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+ border-radius: 4px;
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+ white-space: nowrap;
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+ transition: opacity 0.2s, transform 0.1s;
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+ }
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+ .badge-btn .btn-icon {
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+ width: 16px;
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+ height: 16px;
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+ margin-right: 6px;
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+ }
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+ .badge-btn:hover {
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+ opacity: 0.85;
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+ transform: translateY(-1px);
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+ }
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+ .badge-btn.civitai {
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+ background-color: #2975fa8d;
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+ }
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+ .badge-btn.hf {
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+ background-color: #ff66008d;
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+ }
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+ @media (max-width: 700px) {
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+ .container {
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+ flex-direction: column;
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+ align-items: center;
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+ }
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+ .image-wrapper,
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+ .details {
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+ flex: unset;
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+ width: 100%;
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+ }
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+ .model-image {
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+ width: 90%;
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+ max-width: 500px;
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+ min-width: auto;
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+ margin-bottom: 1rem;
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+ }
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+ }
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+ </style>
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+ <div class="container">
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+ <div class="image-wrapper">
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+ <video
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+ class="model-image"
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+ controls
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+ autoplay
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+ loop
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+ muted
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+ playsinline
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+ preload="metadata"
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+ poster="https://huggingface.co/rityak/RealCore_Illustrious/resolve/main/img.png"
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+ >
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+ <source src="https://huggingface.co/rityak/RealCore_Illustrious/resolve/main/vid.mp4" type="video/mp4">
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+ <img
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+ src="https://huggingface.co/rityak/RealCore_Illustrious/resolve/main/img.png"
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+ alt="Preview image of RealCore Illustrious model"
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+ style="width:100%; max-width:500px; border-radius:8px;"
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+ />
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+ Your browser does not support the video tag.
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+ </video>
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+ </div>
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+ <div class="details">
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+ <h1>RealCore Illustrious 1.0</h1>
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+ <p class="description">
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+ <strong>RealCore Illustrious</strong> is a merged <strong>Illustrious</strong> checkpoint built from multiple models and LoRAs,
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+ designed to deliver stunning results in <em>realistic</em> and <em>photo-realistic</em> styles.
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+ Fully supports <strong>NSFW</strong> generation and integrates seamlessly with <strong>LCM</strong> acceleration.
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+ </p>
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+ <ul class="features-list">
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+ <li><span class="icon">📷</span>Realistic & photo-realistic rendering</li>
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+ <li><span class="icon">🔀</span>Complex multi-model merge with LoRAs</li>
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+ <li><span class="icon">⚡</span>Excellent <strong>LCM</strong> compatibility</li>
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+ <li><span class="icon">🔓</span>NSFW supported</li>
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+ </ul>
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+ <ul class="badge-list">
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+ <li>
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+ <a
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+ href="https://civitai.com/models/2128436"
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+ target="_blank"
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+ class="badge-btn civitai"
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+ >
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+ <img
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+ src="https://civitai.com/favicon-blue.ico"
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+ alt="CivitAI"
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+ class="btn-icon"
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+ />
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+ View on CivitAI
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+ </a>
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+ </li>
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+ <li>
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+ <a
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+ href="https://huggingface.co/rityak/RealCore_Illustrious/resolve/main/RealCore_Illustrious_v10.safetensors?download=true"
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+ target="_blank"
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+ class="badge-btn hf"
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+ >
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+ <img
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+ src="https://huggingface.co/front/assets/huggingface_logo-noborder.svg"
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+ alt="Hugging Face"
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+ class="btn-icon"
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+ />
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+ Download RealCore Illustrious 1.0
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+ </a>
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+ </li>
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+ </ul>
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+ </div>
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+ </div>
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+
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+ ---
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+
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+ ## 🧩 Model Overview
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+
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+ **RealCore Illustrious** is a diffusion-based **Illustrious** checkpoint obtained through a complex merging process of multiple realistic models combined with several custom LoRAs.
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+ It produces highly detailed, lifelike, and emotionally grounded results — especially suited for **realistic**, **photo-realistic**, **nsfw**, and **professional photo** compositions.
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+
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+ - **Type:** SDXL Merge
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+ - **Base:** Illustrious
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+ - **Supports:** Realistic / Photo-realistic / NSFW
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+ - **Optimized for:** ComfyUI + LCM
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+
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+ ---
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+
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+ ## ⚙️ ComfyUI Workflows
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+
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+ | Workflow | Description | Link |
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+ | ------------ | -------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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+ | **LCM DMD2** | Optimized for fast inference with LCM acceleration | <a href="https://huggingface.co/rityak/RealCore_Illustrious/resolve/main/RealCore%20Graph%20LCM.json?download=true" target="_blank">Download LCM DMD2 Workflow</a> |
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+
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+ ---
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+
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+ ## 🧠 Prompting
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+
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+ For example prompts, styles, and tag guidance — please check
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+ 👉 [RealCore Illustrious on CivitAI](https://civitai.com/models/2128436)
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+
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+ ---
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+
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+ ## 🧾 Checkpoint Recipe
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+
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+ ### RealCore Illustrious Beta Recipe
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+ ```
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+ version 0.1.0
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+ model "illustrious\\cyberrealistic_v70.safetensors" model_config="sdxl-sgm" merge_space="weight"
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+ model "illustrious\\goddessOfRealism_gorV6ilxlVAE.safetensors" model_config="sdxl-sgm" merge_space="weight"
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+ model "illustrious\\damnIllustriousPony_v50IllustriousNoobai.safetensors" model_config="sdxl-sgm" merge_space="weight"
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+ model "illustrious\\truespectraStudio_v10.safetensors" model_config="sdxl-sgm" merge_space="weight"
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+ merge "🔨_weight_sum_with_json" &0 &1 &2 &3 json_params="{
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+ \"global\": \"1.000,0.000,0.000,0.000\",
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+ \"CLIP_L\": \"0.250,0.250,0.250,0.250\",
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+ \"CLIP_G\": \"0.250,0.250,0.250,0.250\",
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+ \"time_embed\": \"0.250,0.250,0.250,0.250\",
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+ \"label_emb\": \"0.250,0.250,0.250,0.250\"
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+ }"
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+ merge "geometric_median" &0 &1 &2 &3 eps=1e-06 maxiter=100 ftol=1e-20
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+ literal 1.0 model_config="sdxl-sgm" merge_space="param"
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+ merge "pick_component" &6 "clip_l"
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+ merge "pick_component" &6 "clip_g"
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+ merge "fallback" &7 &8
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+ literal 0.0 model_config="sdxl-sgm" merge_space="param"
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+ merge "pick_component" &10 "vae"
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+ merge "fallback" &9 &11
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+ merge "pick_component" &10 "diffuser"
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+ merge "fallback" &12 &13
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+ merge "weighted_sum" &0 &5 &14
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+ literal 0.5 model_config="sdxl-sgm" merge_space="param"
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+ merge "pick_component" &16 "clip_l"
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+ merge "pick_component" &16 "clip_g"
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+ merge "fallback" &17 &18
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+ merge "fallback" &19 &11
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+ merge "fallback" &20 &13
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+ merge "crossover" &4 &15 &21 0.5
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+ model "illustrious\\fantasticReality_10.safetensors" model_config="sdxl-sgm" merge_space="weight"
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+ model "illustrious\\illustriousXL_v01.safetensors" model_config="sdxl-sgm" merge_space="weight"
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+ model "illustrious\\realcosplay1024px_realcosplayV10Illust.safetensors" model_config="sdxl-sgm" merge_space="weight"
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+ merge "subtract" &25 &24
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+ model "illustrious\\realcosplay1536px_v21.safetensors" model_config="sdxl-sgm" merge_space="weight"
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+ merge "subtract" &27 &24
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+ model "illustrious\\illustriousCSG_unrealengineILProV1.safetensors" model_config="sdxl-sgm" merge_space="weight"
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+ merge "subtract" &29 &24
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+ model "illustrious\\illustriousFacial_v20.safetensors" model_config="sdxl-sgm" merge_space="weight"
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+ merge "subtract" &31 &24
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+ merge "geometric_median" &26 &28 &30 &32 eps=1e-06 maxiter=100 ftol=1e-20
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+ merge "add_difference" &24 &33 1.0
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+ merge "fallback" &34 &24
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+ model "illustrious\\realistic\\Realim_Lora_BSY_IL_V1_RA42.safetensors" model_config="sdxl-kohya_kohya_lora" merge_space="weight"
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+ merge "convert_'sdxl-kohya_kohya_lora'_to_base" &36
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+ merge "convert_'sdxl-kohya'_to_'sdxl-sgm'" &37
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+ model "illustrious\\realistic\\Realistic_furry.safetensors" model_config="sdxl-kohya_kohya_lora" merge_space="weight"
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+ merge "convert_'sdxl-kohya_kohya_lora'_to_base" &39
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+ merge "convert_'sdxl-kohya'_to_'sdxl-sgm'" &40
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+ model "illustrious\\realistic\\ScreencUp.safetensors" model_config="sdxl-kohya_kohya_lora" merge_space="weight"
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+ merge "convert_'sdxl-kohya_kohya_lora'_to_base" &42
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+ merge "convert_'sdxl-kohya'_to_'sdxl-sgm'" &43
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+ merge "🔨_ties_lora_with_json" &38 &41 &44 json_params="{
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+ \"lambda\": 1,
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+ \"weights\": \"0.500,0.500,0.500\",
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+ \"density\": 0.4,
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+ \"vote_sgn\": true,
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+ \"apply_stock\": false,
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+ \"apply_median\": true
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+ }"
281
+ merge "add_difference" &35 &45 1.0
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+ merge "fallback" &46 &35
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+ merge "crossover" &23 &47 0.66 1.0
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+ merge "🔨_karcher_mean_with_json" &0 &1 &3 json_params="{
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+ \"global\": \"0.382,0.382,0.236\",
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+ \"max_iter\": 30,
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+ \"tol\": 3e-7
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+ }"
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+ model "illustrious\\realistic\\ALTGRL(CYBERILL).safetensors" model_config="sdxl-kohya_kohya_lora" merge_space="weight"
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+ merge "convert_'sdxl-kohya_kohya_lora'_to_base" &50
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+ merge "convert_'sdxl-kohya'_to_'sdxl-sgm'" &51
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+ model "illustrious\\realistic\\RSGRL-REALLUXURA(10_10_25).safetensors" model_config="sdxl-kohya_kohya_lora" merge_space="weight"
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+ merge "convert_'sdxl-kohya_kohya_lora'_to_base" &53
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+ merge "convert_'sdxl-kohya'_to_'sdxl-sgm'" &54
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+ model "illustrious\\realistic\\KRGRLv2-000003.safetensors" model_config="sdxl-kohya_kohya_lora" merge_space="weight"
296
+ merge "convert_'sdxl-kohya_kohya_lora'_to_base" &56
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+ merge "convert_'sdxl-kohya'_to_'sdxl-sgm'" &57
298
+ merge "🔨_ties_lora_with_json" &52 &55 &58 json_params="{
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+ \"lambda\": 1,
300
+ \"weights\": \"0.500,0.500,0.200\",
301
+ \"density\": 0.5,
302
+ \"vote_sgn\": true,
303
+ \"apply_stock\": false,
304
+ \"apply_median\": true
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+ }"
306
+ merge "add_difference" &49 &59 1.0
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+ merge "fallback" &60 &49
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+ merge "🔨_karcher_mean_with_json" &22 &48 &61 &2 json_params="{
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+ \"global\": \"0.000,0.260,0.460,0.280\",
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+ \"max_iter\": 30,
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+ \"tol\": 3e-7,
312
+ \"OUT04\": \"0.000,0.157,0.375,0.468\",
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+ \"OUT05\": \"0.000,0.157,0.375,0.468\",
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+ \"OUT06\": \"0.000,0.157,0.375,0.468\",
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+ \"IN\": \"0.000,0.230,0.477,0.294\",
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+ \"OUT\": \"0.000,0.273,0.312,0.415\",
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+ \"CLIP_L\": \"0.364,0.091,0.273,0.273\",
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+ \"CLIP_G\": \"0.364,0.091,0.273,0.273\"
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+ }"
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+ model "illustrious\\realistic\\FLMGR-IL.safetensors" model_config="sdxl-kohya_kohya_lora" merge_space="weight"
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+ merge "convert_'sdxl-kohya_kohya_lora'_to_base" &63
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+ merge "convert_'sdxl-kohya'_to_'sdxl-sgm'" &64
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+ dict BASE=0.0 IN00=0.0 IN01=0.0 IN02=0.0 IN03=0.0 IN04=0.0 IN05=0.0 IN06=0.0 IN07=0.0 IN08=0.0 M00=0.0 OUT00=0.0 OUT01=0.0 OUT02=0.15 OUT03=0.3 OUT04=0.4 OUT05=0.5 OUT06=0.3 OUT07=0.15 OUT08=0.0 VAE=0.0
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+ literal &66 model_config="sdxl-supermerger_blocks" merge_space="param"
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+ merge "convert_sdxl_blocks_to_sgm" &67
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+ merge "add_difference" &62 &65 &68
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+ merge "fallback" &69 &62
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+ ```
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+
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+ ### RealCore Illustrious v10 Recipe
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+ ```
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+ version 0.1.0
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+ model "ritya\\RealCore_Illustrious_beta.safetensors" model_config="sdxl-sgm" merge_space="weight"
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+ model "illustrious\\cyberrealistic_v70.safetensors" model_config="sdxl-sgm" merge_space="weight"
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+ model "illustrious\\damnIllustriousPony_v50IllustriousNoobai.safetensors" model_config="sdxl-sgm" merge_space="weight"
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+ merge "🔨_karcher_mean_with_json" &0 &1 &2 json_params="{
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+ \"global\": \"1.000,0.000,0.000\",
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+ \"max_iter\": 50,
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+ \"tol\": 1e-7,
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+ \"IN00\": \"0.143,0.429,0.429\",
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+ \"IN01\": \"0.189,0.406,0.406\",
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+ \"IN02\": \"0.211,0.395,0.395\",
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+ \"IN03\": \"0.250,0.375,0.375\",
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+ \"IN04\": \"0.311,0.345,0.345\",
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+ \"IN06\": \"0.360,0.320,0.320\",
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+ \"IN07\": \"0.390,0.305,0.305\",
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+ \"IN08\": \"0.399,0.301,0.301\",
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+ \"IN\": \"0.333,0.333,0.333\"
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+ }"
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+ ```