Dark-Scarlett-27B-v2.0

<style> @import url('https://fonts.googleapis.com/css2?family=Cinzel:wght@400;700;900&family=Raleway:wght@300;400;600;700&family=JetBrains+Mono:wght@400;700&display=swap'); /* Base Reset & Layout */ .mc-wrap{background:#081320;color:#cfe0f0;font-family:'Raleway',sans-serif;max-width:920px;margin:0 auto;padding:24px;border-radius:16px;box-sizing:border-box;position:relative;overflow:hidden; background-image: radial-gradient(ellipse at 20% 50%, rgba(41,128,185,0.10) 0%, transparent 50%), radial-gradient(ellipse at 80% 20%, rgba(243,156,18,0.08) 0%, transparent 50%), radial-gradient(ellipse at 50% 80%, rgba(231,76,60,0.06) 0%, transparent 50%)} .mc-wrap::before{content:'';position:absolute;top:0;left:0;right:0;bottom:0;background:url("data:image/svg+xml,%3Csvg width='60' height='60' viewBox='0 0 60 60' xmlns='http://www.w3.org/2000/svg'%3E%3Cg fill='none' fill-rule='evenodd'%3E%3Cg fill='%23e8503a' fill-opacity='0.03'%3E%3Cpath d='M36 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Ornamental Dividers */ .mc-ornament{text-align:center;margin:28px 0;position:relative;z-index:1} .mc-ornament::before{content:'';position:absolute;top:50%;left:10%;right:10%;height:1px;background:linear-gradient(90deg,transparent,rgba(232,80,58,0.35),rgba(243,156,18,0.45),rgba(232,80,58,0.35),transparent)} .mc-ornament span{background:#081320;padding:0 20px;color:#e8503a;font-size:1.2em;position:relative;z-index:2} /* Header Section */ .mc-hdr{text-align:center;padding:50px 40px;background:linear-gradient(180deg,#0c1d30 0%,#0e2438 50%,#0c1d30 100%);border:1px solid rgba(232,80,58,.25);border-radius:24px;margin-bottom:24px;position:relative;overflow:hidden;box-shadow:0 0 40px rgba(232,80,58,0.10),inset 0 0 60px rgba(0,0,0,0.35)} .mc-hdr::before{content:'';position:absolute;top:0;left:0;right:0;height:3px;background:linear-gradient(90deg,transparent,#e8503a,#e67e22,#f39c12,#e67e22,#e8503a,transparent);animation:shimmer 4s ease infinite} 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.mc-sec::before{content:'';position:absolute;top:0;left:0;width:3px;height:100%;background:linear-gradient(180deg,#e8503a,#e67e22,#f39c12,#a04000);opacity:.9} .mc-sec::after{content:'';position:absolute;top:0;right:0;bottom:0;width:60px;background:linear-gradient(90deg,transparent,rgba(232,80,58,0.03));pointer-events:none} .mc-sec-title{font-family:'Cinzel',serif;font-size:1.4em;font-weight:700;margin:0 0 18px 0;color:#ffffff;display:flex;align-items:center;gap:12px;letter-spacing:.04em} /* Grids & Cards */ .mc-grid{display:grid;grid-template-columns:1fr 1fr;gap:16px;margin-top:18px} .mc-card{background:linear-gradient(145deg,#0e2035,#0a1a2c);padding:22px;border-radius:14px;border:1px solid rgba(232,80,58,.14);transition:all 0.4s ease;position:relative;overflow:hidden} .mc-card::before{content:'';position:absolute;top:0;left:0;right:0;height:2px;background:linear-gradient(90deg,transparent,rgba(232,80,58,0.35),transparent);opacity:0;transition:opacity 0.4s} 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ease;position:relative;overflow:hidden} .mc-btn::before{content:'';position:absolute;top:0;left:-100%;width:100%;height:100%;background:linear-gradient(90deg,transparent,rgba(255,255,255,0.25),transparent);transition:0.6s} .mc-btn:hover::before{left:100%} .mc-btn:hover{box-shadow:0 0 35px rgba(232,80,58,0.55);transform:translateY(-3px);filter:brightness(1.1)} .mc-ava{width:48px;height:48px;border-radius:50%;margin-right:16px;object-fit:cover;border:2px solid rgba(232,80,58,.6);box-shadow:0 0 15px rgba(232,80,58,0.25);transition:all 0.3s} .mc-ava:hover{border-color:#e8503a;box-shadow:0 0 25px rgba(232,80,58,0.45)} .mc-disclaimer{border-left:3px solid #f39c12;padding:16px 24px;background:linear-gradient(135deg,rgba(243,156,18,.08),rgba(241,148,138,.05));border-radius:0 14px 14px 0;color:#e8c0a8;font-size:.88em;margin:18px 0;line-height:1.7} /* FLASHY TAGS & KINKS SECTION */ .mc-tag-container{display:flex;flex-wrap:wrap;gap:10px;margin:22px 0;justify-content:center} .mc-tag{display:inline-flex;align-items:center;padding:8px 18px;border-radius:100px;font-size:.75em;font-weight:700;letter-spacing:.1em;text-transform:uppercase;font-family:'JetBrains Mono',monospace;border:1px solid;transition:all 0.4s ease;position:relative;overflow:hidden;backdrop-filter:blur(4px)} .mc-tag::before{content:'';position:absolute;top:0;left:0;width:100%;height:100%;background:linear-gradient(45deg,transparent,rgba(255,255,255,0.12),transparent);transform:translateX(-100%);transition:0.6s} .mc-tag:hover::before{transform:translateX(100%)} .mc-tag:hover{transform:scale(1.08);box-shadow:0 0 20px currentColor} .t1{background:rgba(232,80,58,.14);color:#e8503a;border-color:rgba(232,80,58,.5);box-shadow:0 0 12px rgba(232,80,58,0.18)} .t2{background:rgba(230,126,34,.14);color:#e67e22;border-color:rgba(230,126,34,.5);box-shadow:0 0 12px rgba(230,126,34,0.18)} .t3{background:rgba(160,64,0,.14);color:#e67e22;border-color:rgba(160,64,0,.5);box-shadow:0 0 12px rgba(160,64,0,0.18)} .t4{background:rgba(243,156,18,.14);color:#f39c12;border-color:rgba(243,156,18,.5);box-shadow:0 0 12px rgba(243,156,18,0.18)} /* ===== MISSING STYLES BELOW ===== */ /* NSFW Tag (pink/magenta to match the card's accent) */ .t-nsfw{background:rgba(255,42,109,.14);color:#ff2a6d;border-color:rgba(255,42,109,.5);box-shadow:0 0 12px rgba(255,42,109,0.18)} /* Corner Decorations */ .mc-corner-decor{position:absolute;width:24px;height:24px;z-index:2;pointer-events:none} .mc-corner-decor.tl{top:10px;left:10px;border-top:2px solid rgba(232,80,58,.5);border-left:2px solid rgba(232,80,58,.5);border-top-left-radius:6px} .mc-corner-decor.tr{top:10px;right:10px;border-top:2px solid rgba(232,80,58,.5);border-right:2px solid rgba(232,80,58,.5);border-top-right-radius:6px} .mc-corner-decor.bl{bottom:10px;left:10px;border-bottom:2px solid rgba(232,80,58,.5);border-left:2px solid rgba(232,80,58,.5);border-bottom-left-radius:6px} .mc-corner-decor.br{bottom:10px;right:10px;border-bottom:2px solid 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14px;border-radius:6px;letter-spacing:.08em;text-transform:uppercase;box-shadow:0 2px 12px rgba(0,0,0,0.4);backdrop-filter:blur(4px)} /* Details / Summary Styling */ .mc-wrap details{margin:16px 0;border:1px solid rgba(232,80,58,.15);border-radius:14px;overflow:hidden;background:linear-gradient(180deg,#0a1a2c,#081420);transition:border-color 0.3s} .mc-wrap details:hover{border-color:rgba(232,80,58,.35)} .mc-wrap details[open]{border-color:rgba(232,80,58,.4);box-shadow:0 0 20px rgba(232,80,58,0.06)} .mc-wrap summary{cursor:pointer;padding:18px 28px;font-family:'Cinzel',serif;font-size:1.05em;font-weight:700;color:#e8503a;letter-spacing:.04em;list-style:none;display:flex;align-items:center;gap:10px;transition:all 0.3s;user-select:none} .mc-wrap summary::-webkit-details-marker{display:none} .mc-wrap summary::before{content:'▸';font-size:1.2em;transition:transform 0.3s;display:inline-block} .mc-wrap details[open] summary::before{transform:rotate(90deg)} .mc-wrap summary:hover{color:#f39c12;background:rgba(232,80,58,0.04)} /* Sampler Grid */ .sampler-grid{display:grid;grid-template-columns:1fr 1fr;gap:10px;margin-top:14px} .param-box{text-align:center;padding:14px 10px;background:linear-gradient(145deg,rgba(232,80,58,.06),rgba(10,26,44,.8));border:1px solid rgba(232,80,58,.12);border-radius:10px;transition:all 0.3s} .param-box:hover{border-color:rgba(232,80,58,.35);box-shadow:0 0 12px rgba(232,80,58,0.08)} .param-val{display:block;font-family:'JetBrains Mono',monospace;font-size:1.4em;font-weight:700;color:#e8503a;margin-bottom:4px} .param-label{display:block;font-family:'Raleway',sans-serif;font-size:.7em;color:#6f8aa8;text-transform:uppercase;letter-spacing:.1em} /* Quantization List */ .quant-list{list-style:none;padding:0;margin:12px 0 0 0} .quant-item{display:flex;justify-content:space-between;align-items:center;padding:10px 14px;margin-bottom:6px;background:linear-gradient(90deg,rgba(232,80,58,.04),transparent);border:1px solid rgba(232,80,58,.1);border-radius:8px;font-size:.82em;transition:all 0.3s} .quant-item:hover{border-color:rgba(232,80,58,.3);background:rgba(232,80,58,.06)} .quant-item span:first-child{font-family:'JetBrains Mono',monospace;font-weight:700;color:#e8503a} .quant-item span:last-child{color:#6f8aa8;font-size:.9em} /* Button Glow Variant */ .mc-btn-glow{box-shadow:0 4px 20px rgba(232,80,58,.35),0 0 30px rgba(232,80,58,.15)} .mc-btn-glow:hover{box-shadow:0 0 35px rgba(232,80,58,0.55),0 0 60px rgba(232,80,58,0.25)} /* Download Icon */ .download-icon{margin-right:8px;font-size:1.1em} /* ===== KEYFRAME ANIMATIONS ===== */ @keyframes shimmer{ 0%,100%{opacity:1;background-position:0% 50%} 50%{opacity:.7;background-position:100% 50%} } @keyframes text-shimmer{ 0%,100%{background-position:0% 50%} 50%{background-position:100% 50%} } @keyframes pulse-badge{ 0%,100%{box-shadow:0 0 20px rgba(232,80,58,0.18)} 50%{box-shadow:0 0 35px rgba(232,80,58,0.35)} } </style> <div class="mc-wrap"> <div class="mc-hdr"> <div class="mc-corner-decor tl"></div> <div class="mc-corner-decor tr"></div> <div class="mc-corner-decor bl"></div> <div class="mc-corner-decor br"></div> <h1 class="mc-name">Dark Scarlett 27B</h1> <div class="mc-badge">⚡ v2.0</div> <p class="mc-sub">Passion ignited. Boundaries dissolved.</p> <div style="background:linear-gradient(135deg,rgba(255,42,109,0.06),rgba(200,114,138,0.04));border:1px solid rgba(255,42,109,.2);padding:14px;border-radius:10px;margin-top:20px;font-size:.85em;color:#c7728a"> <strong>🧠 Thinking Enable:</strong> Use <code>chat_template_kwargs: {"enable_thinking": true, "reasoning_effort": "low"}</code> in SillyTavern. </div> </div> <div class="mc-ornament"><span>✦</span></div> <!-- FLASHY TAG CLOUD --> <div class="mc-tag-container"> <span class="mc-tag t-nsfw">🔞 NSFW</span> <span class="mc-tag t1">ERP</span> <span class="mc-tag t2">Uncensored</span> <span class="mc-tag t1">Roleplay</span> <span class="mc-tag t3">Qwen3.8</span> <span class="mc-tag t4">Adult</span> <span class="mc-tag t2">Unaligned</span> </div> <div class="mc-warn"> ✦ Content Advisory: Mature Themes / Adult Interactions — Intended for mature audiences only. ✦ </div> <!-- KINK HIGHLIGHT SECTION --> <div class="kink-highlight"> <div class="mc-corner-decor tl"></div> <div class="mc-corner-decor tr"></div> <div class="mc-corner-decor bl"></div> <div class="mc-corner-decor br"></div> <h3 style="margin:0 0 12px 0;color:#ff2a6d;font-family:'Cinzel',serif;text-align:center;text-transform:uppercase;letter-spacing:.14em;font-size:1.1em">✦ Core Capabilities ✦</h3> <p style="text-align:center;color:#8a7f90;font-size:.88em;margin:0;font-family:'Raleway',sans-serif">Optimized for immersive adult narrative experiences</p> <div class="kink-stat-grid"> <div class="kink-stat"> <span class="kink-stat-val">6000+</span> <span class="kink-stat-label">Kink Prompts (In Generator)</span> </div> <div class="kink-stat"> <span class="kink-stat-val">100%</span> <span class="kink-stat-label">Uncensored</span> </div> <div class="kink-stat"> <span class="kink-stat-val">M→F</span> <span class="kink-stat-label">Perspective</span> </div> </div> </div> <div class="mc-ornament"><span>⟡</span></div> <div class="mc-video-wrap"> <span class="mc-video-badge">Qwen3.8 Based</span> <video autoplay loop muted playsinline controls style="width:100%;display:block;border-radius:16px"> <source src="https://huggingface.co/spaces/ReadyArt/README/resolve/main/Dark-Scarlett-v2.mp4" type="video/mp4"> </video> </div> <div class="mc-ornament"><span>✦</span></div> <details> <summary>🌹 What Is Dark Scarlett?</summary> <div class="mc-sec"> <p>Inspired by the <strong>spirit of Melody1437</strong>, though trained on a distinct dataset, <strong>Dark Scarlett-27B</strong> refines the core architecture with specialized scenario prompts to enhance depth and responsiveness. This model focuses on delivering a cohesive narrative experience with a distinct perspective.</p> <div style="display:flex;align-items:center;justify-content:center;gap:20px;margin:24px 0;flex-wrap:wrap"> <div style="text-align:center;padding:22px 34px;background:linear-gradient(145deg,#0f0c14,#0c0a10);border-radius:14px;border:1px solid rgba(255,42,109,.15);min-width:150px"> <div style="font-family:'JetBrains Mono',monospace;font-size:.68em;text-transform:uppercase;letter-spacing:.14em;color:#8a7f90;margin-bottom:10px">Core Inspiration</div> <div style="font-family:'Cinzel',serif;font-size:1.2em;font-weight:700;color:#ff2a6d">Melody1437 Spirit</div> <div style="font-family:'JetBrains Mono',monospace;font-size:.65em;color:#d90429;margin-top:6px">Distinct Dataset</div> </div> <div style="font-size:1.8em;color:#d90429;text-shadow:0 0 15px rgba(217,4,41,0.4)">⟡</div> <div style="text-align:center;padding:22px 34px;background:linear-gradient(145deg,rgba(255,42,109,.06),rgba(200,114,138,.04));border-radius:14px;border:1px solid rgba(255,42,109,.3);min-width:150px;box-shadow:0 0 25px rgba(255,42,109,.08)"> <div style="font-family:'JetBrains Mono',monospace;font-size:.68em;text-transform:uppercase;letter-spacing:.14em;color:#ff2a6d;margin-bottom:10px">Result</div> <div style="font-family:'Cinzel',serif;font-size:1.4em;font-weight:900;background:linear-gradient(135deg,#ff2a6d,#d90429,#c7728a);-webkit-background-clip:text;-webkit-text-fill-color:transparent;background-clip:text">Dark Scarlett</div> </div> </div> <div class="mc-warn" style="background:linear-gradient(135deg,rgba(200,114,138,.06),rgba(255,153,170,.04));border-color:rgba(200,114,138,.3);color:#ddb8c8"> ⚠️ <strong>Perspective Note:</strong> Training data strictly follows a Male (User) → Female (AI) perspective for consistent roleplay dynamics. </div> <ul> <li>🧠 <strong>Core Heritage:</strong> Captures the spirit of Melody1437 with diversified scenario prompts</li> <li>🎭 <strong>Group Chat Support:</strong> Includes some training for dynamic group chat interactions</li> <li>🎯 <strong>Perspective:</strong> Optimized for Male User → Female AI interactions</li> <li>📖 <strong>Narrative Flow:</strong> Improved context retention with longer conversation threads in select scenarios</li> </ul> </div> </details> <details> <summary>🧬 Synthetic Life Engine</summary> <div class="mc-sec"> <p>Dataset generated using our advanced <strong>Character Engine</strong> and <strong>Emotional Engine</strong>, creating genuine life and emotional resonance in every interaction.</p> <div class="mc-grid"> <div class="mc-card"> <h4>🎭 Character Engine</h4> <p>Ensures consistent personality traits, speech patterns, and behavioral logic across all contexts. Characters remain true to themselves throughout.</p> </div> <div class="mc-card"> <h4>💓 Emotional Engine</h4> <p>Injects dynamic emotional states into responses, creating depth and realistic reactions that breathe life into every exchange.</p> </div> <div class="mc-card"> <h4>✨ Quality Refinement</h4> <p>Automated detection and rewriting of repetitive phrases ensures fresh, high-quality dialogue in every turn.</p> </div> <div class="mc-card"> <h4>💬 Dialogue Integrity</h4> <p>Advanced quote normalization ensures balanced dialogue markers, preventing formatting errors and maintaining immersion.</p> </div> </div> </div> </details> <details> <summary>🧠 Training Details & Parameters</summary> <div class="mc-sec"> <p>Fine-tuned using <strong>LoRA (Low-Rank Adaptation)</strong> for efficient and targeted weight adjustment, preserving the base model's capabilities while imprinting new behavioral patterns.</p> <div class="mc-grid"> <div class="mc-card" style="text-align:center"> <h4>🔢 Epochs</h4> <div class="mc-val">1.25</div> <p class="mc-lbl">Full passes through the training dataset for thorough learning</p> </div> <div class="mc-card" style="text-align:center"> <h4>📐 LoRA Rank</h4> <div class="mc-val">128</div> <p class="mc-lbl">Optimized rank for balanced adaptation and efficiency</p> </div> </div> <table class="mc-tbl"> <thead><tr><th>Parameter</th><th>Value</th></tr></thead> <tbody> <tr><td>Training Method</td><td><strong>LoRA (Low-Rank Adaptation)</strong></td></tr> <tr><td>LoRA Rank (r)</td><td><strong>128</strong></td></tr> <tr><td>Epochs</td><td><strong>1.25</strong></td></tr> <tr><td>Trained Layers</td><td><strong>Text layers only</strong></td></tr> <tr><td>Feature</td><td><strong>Group Chat Support</strong></td></tr> </tbody> </table> <ul style="margin-top:18px"> <li>🎯 <strong>Method:</strong> LoRA fine-tuning for parameter-efficient adaptation, preserving base knowledge while imprinting new behaviors</li> <li>⚡ <strong>Efficiency:</strong> Only a fraction of parameters updated, keeping the model lean and responsive</li> <li>🎭 <strong>Result:</strong> Maintains coherence while exhibiting the desired personality traits and interaction style</li> </ul> </div> </details> <details> <summary>🔮 Training Process</summary> <div class="mc-sec"> <p>Model weights subjected to <strong>iterative refinement</strong> during data creation. Each conversation underwent multiple checks for stability and alignment.</p> <ul> <li>🔄 <strong>Multi-Turn Generation:</strong> Conversations built turn-by-turn for natural context flow</li> <li>🛡️ <strong>Refusal Filtering:</strong> Automated systems detected and removed unwanted refusals</li> <li>🧹 <strong>Slop Cleaning:</strong> Undesirable phrases identified and rewritten by dedicated assistant models</li> <li>🎪 <strong>Group Chat Training:</strong> Includes some training data focused on multi-user group dynamics</li> </ul> </div> </details> <details> <summary>📚 Dataset Overview</summary> <div class="mc-sec"> <p>Model trained on a <strong>specialized adult-oriented roleplay dataset</strong> with diverse scenarios and emotional contexts, inspired by the spirit of Melody1437, though distinct in composition.</p> <ul> <li>🔞 <strong>Content Rating:</strong> Strictly 18+ (Adults Only)</li> <li>📊 <strong>Dataset Size:</strong> Currently contains 12,211 specialized prompts.</li> <li>📝 <strong>Conversation Depth:</strong> Portions include extended conversations for enhanced roleplay continuity.</li> <li>🎭 <strong>Focus:</strong> Mature themes, immersive roleplay, uncensored dialogue</li> <li>👥 <strong>Perspective:</strong> Male (User) → Female (AI)</li> <li>🧹 <strong>Formatting:</strong> Removed Em dashes, asterisks, and markdown formatting from the dataset for cleaner output.</li> </ul> </div> </details> <details> <summary>📜 Version Notes</summary> <div class="mc-sec"> <ul> <li>⚠️ <strong>Content Warning:</strong> This model can generate mature content. Use responsibly.</li> <li>📉 <strong>Data Limitations:</strong> Trained on a curated dataset (12,211 prompts); performance may vary.</li> <li>🧹 <strong>Clean Output:</strong> Reasoning tags, Em dashes, asterisks, and markdown formatting stripped for cleaner roleplay</li> <li>🔀 <strong>Core Identity:</strong> Trained on the spirit of Melody1437, but utilizes a unique dataset</li> <li>🎪 <strong>Feature:</strong> Includes some training for group chat scenarios</li> </ul> </div> </details> <details> <summary>⚙️ Configuration</summary> <div class="mc-sec"> <div class="mc-qlinks"> <!-- Sampler Settings Box --> <div class="mc-card"> <h4>🎛️ Sampler Settings</h4> <p style="margin-bottom:12px;font-size:.78em;color:#8a7f90">Recommended parameters for optimal output</p> <div class="sampler-grid"> <div class="param-box"> <span class="param-val">0.92</span> <span class="param-label">Top-P</span> </div> <div class="param-box"> <span class="param-val">1.0</span> <span class="param-label">Temperature</span> </div> <div class="param-box"> <span class="param-val">0</span> <span class="param-label">Freq Pen</span> </div> <div class="param-box"> <span class="param-val">0</span> <span class="param-label">Presence Pen</span> </div> </div> </div> <!-- GGUF Download Box --> <div class="mc-card"> <h4>📦 GGUF Quantizations</h4> <p style="font-size:.78em;color:#8a7f90">Available formats for local inference</p> <ul class="quant-list"> <li class="quant-item"><span>Q4_K_M</span><span>Decent Quality</span></li> <li class="quant-item"><span>Q5_K_M</span><span>Recommended</span></li> <li class="quant-item"><span>Q6_K</span><span>High Quality</span></li> <li class="quant-item"><span>Q8_0</span><span>Near Lossless</span></li> </ul> <a href="https://huggingface.co/ReadyArt/Dark-Scarlett-27B-v2.0-GGUF" class="mc-btn mc-btn-glow"> <span class="download-icon">⬇</span> View Repository </a> </div> </div> </div> </details> <details> <summary>💖 Credits</summary> <div class="mc-sec"> <ul> <li style="display:flex;align-items:center;margin-bottom:14px;padding:18px 22px;background:linear-gradient(145deg,#0f0c14,#0c0a10);border:1px solid rgba(255,42,109,.12);border-radius:14px;transition:all 0.3s"> <img src="https://huggingface.co/avatars/55f24699e05af4295a9d16ddecd81f8a.svg" alt="GECFDO" class="mc-ava"> <span><strong>GECFDO</strong> — Dataset Generation</span> </li> <li style="display:flex;align-items:center;margin-bottom:14px;padding:18px 22px;background:linear-gradient(145deg,#0f0c14,#0c0a10);border:1px solid rgba(255,42,109,.12);border-radius:14px;transition:all 0.3s"> <img src="https://cdn-avatars.huggingface.co/v1/production/uploads/6759e155bc947d6070775cb9/FW3jKJ-t8iH9MPGeWzyX5.png" alt="FrenzyBiscuit" class="mc-ava"> <span><strong>FrenzyBiscuit</strong> — Fine-Tuning & Dataset Creation</span> </li> </ul> </div> </details> <div class="mc-ornament"><span>⟡</span></div> <div class="mc-sec"> <h2 class="mc-sec-title">🔖 License & Usage</h2> <div class="mc-disclaimer"> <strong>⚠️ Usage Agreement:</strong> By using this model, you accept all terms and conditions. </div> <ul> <li>📜 Built upon the <strong>Apache 2.0</strong> license</li> <li>🛡️ You accept <strong>full responsibility</strong> for all outputs generated</li> <li>🔞 You confirm you are at least <strong>18 years old</strong></li> <li>🌍 Creators bear <strong>no responsibility</strong> for how the model is used</li> <li>🏡 For <strong>personal use only</strong> (non-profit/non-commercial) to the extent legally allowed</li> </ul> <div class="mc-tag-container" style="justify-content:flex-start;margin-top:22px"> <span class="mc-tag t1">Apache 2.0</span> <span class="mc-tag t2">Personal Use</span> <span class="mc-tag t-nsfw">18+ Content</span> <span class="mc-tag t4">NSFW</span> </div> </div> </div>