<h3 id="technical-datasheet:-lust-scenographic-architecture-data-science">📑 TECHNICAL DATASHEET: LUST [SCENOGRAPHIC ARCHITECTURE DATA SCIENCE]</h3>Classification: High-Fidelity Physics &amp; Texture Engine, Subatomic Microphysics Texture Technology: LoRA STYLE CONCEPT (Rank 128/ Alpha 128 Ultra Density) Status: Industrial LT 422 / Pro Res Raw / Native Latent Injection<h2 id="1.-physics-and-materials-engine-(surface-tension-and-response)">1. ⚛️ PHYSICS &amp; MATERIALS ENGINE (Surface Tension &amp; Response)</h2>The model's ability to differentiate complex physical properties of materials, preventing texture hallucination.<ul><li>Tension Mapping (Latex/Spandex/Vinyl):<ul><li>The model calculates physical tension on complex garments (e.g., corseted, hooped dresses). Specular highlights on vinyl are not static; they distort according to the body's curvature. It correctly differentiates the Cold Hard Shine of synthetic materials from the Warm Porous Shine of the skin in the same lighting environment.</li></ul></li><li>"Black-on-Black" Luma Separation:<ul><li>Industrial Capability: Successfully differentiates materials with near-zero luminance values. In a single frame, it separates Dark Shadows, Black Backgrounds, and Textured Fabric (like Velvet vs. Hair) without "Black Crush," creating smooth penumbra transitions and preserving weave details in the shadows.</li></ul></li><li>Physical Glitch Materialization (Reification):<ul><li>Validated on abstract prompts (e.g., "digital artifacts bloom like fungal growths"). The model avoids simple 2D digital filters. Instead, it interprets glitches as 3D Biological/Structural Textures, rendering compression blocks and digital noise as physical layers with volume and shadow on the subject.</li></ul></li></ul><h2 id="2.-bio-fidelity-and-macro-anatomy-(biological-engine)">2. 🧬 BIO-FIDELITY &amp; MACRO ANATOMY (Biological Engine)</h2>Engineering focused on preserving high-frequency biological data often lost in compression.<ul><li>Melanin &amp; Light Integrity:<ul><li>Under "Brightly lit" or "Warm light" conditions, the model prevents the "Neon Hair" artifact. Blonde hair remains organic (straw/gold tones) rather than turning radioactive yellow. Direct sunlight slices on the face do not burn the skin texture; pores remain visible inside the highlight area.</li></ul></li><li>The "Vellus Hair" Factor:<ul><li>Renderization of fine peach fuzz on facial contours (cheeks, neck) especially visible in backlighting scenarios, eliminating the "plastic/wax" finish.</li></ul></li><li>Ocular Hydrodynamics:<ul><li>Physical simulation of liquids. The model generates a physical water volume on the waterline and calculates corneal reflections containing environmental data.</li></ul></li></ul><h2 id="3.-optical-simulation-and-lighting-(virtual-camera-optics)">3. 📷 OPTICAL SIMULATION &amp; LIGHTING (Virtual Camera Optics)</h2>Emulation of high-end cinema sensors and light behavior.<ul><li>Chiaroscuro &amp; Light Slicing:<ul><li>Validated with prompts like "Chiaroscuro. Deep shadows". The model creates distinct "Light Slices" (hard light transitions) without pixelation on the terminators (the line between light and dark), simulating high-end studio modifiers (Snoot/Barn Doors).</li></ul></li><li>Atmospheric Chroma Integration:<ul><li>The model demonstrates environmental awareness (e.g., a "gas giant planet" outside a window). It creates a chromatic separation where the ambient blue light from the exterior affects the rim light of the subject, while the interior light preserves warm skin tones.</li></ul></li><li>Native HDR (High Dynamic Range):<ul><li>Capacity to resolve scenes with extreme exposure disparity (e.g., Subject in shadow vs. Bright Window). It retains details in the highlights without blowing out the whites.</li></ul></li></ul><h2 id="4.-semantic-interpretation-(prompt-adherence-engine)">4. 🧠 SEMANTIC INTERPRETATION (Prompt Adherence Engine)</h2>The model's unique ability to convert abstract concepts into physical textures.<ul><li>Metaphorical Texture Rendering:<ul><li>The model successfully translates abstract concepts like "layered memories," "fractured version," and "resonant echo" into visual topology. It treats the prompt not just as a style guide but as a blueprint for physical geometry.</li></ul></li><li>Style Fluidity (Oil vs. Realism):<ul><li>The model adapts to "Oil painting... brush strokes" prompts by altering micro-contrast to simulate paint texture, while simultaneously maintaining the capability to deliver hyper-realism without leaking brushstrokes into photorealistic outputs.</li></ul></li></ul><h2 id="5.-structural-integrity-(weight-overdrive)">5. 🏗️ STRUCTURAL INTEGRITY (Weight Overdrive)</h2>Validated stability under extreme inference parameters.<ul><li>Overdrive Stability:<ul><li>Due to the Alpha 128 (Dampening Factor), the model supports high weights without geometric collapse.</li><li>Effect: Increasing weight acts as a Micro-Contrast &amp; Drama Slider, intensifying sharpness and lighting contrast without causing chromatic aberration (deep-fried look) or toxic saturation.</li></ul></li><li>Concept Isolation:<ul><li>Successfully separates complex overlapping concepts (e.g., "Albino teen cyborg" vs. "Romantic Oil Painting") without blending the elements into an incoherent mesh.</li></ul></li></ul><h2 id="6.-environmental-intelligence-(scene-integration)">6. 🌍 ENVIRONMENTAL INTELLIGENCE (Scene Integration)</h2>Capacity to physically integrate the subject into the scene.<ul><li>Subsurface Scattering (SSS) &amp; Backlighting:<ul><li>Accurately simulates light penetrating translucent surfaces. Ears, fingertips, and blonde/white hair generate a natural luminous "halo" when backlit by the sun.</li></ul></li><li>Chromatically Accurate Reflections:<ul><li>Shiny surfaces (eyes, latex, metal) reflect the actual environment color (e.g., Blue Planet reflection on the vinyl dress or eyes), grounding the subject in the reality of the prompt.</li></ul></li></ul>Here is the English translation, maintaining the aggressive technical tone for your Civitai model card:<hr /><h2 id="7:-the-&quot;nuclear-benchmark&quot;-(white-hair-and-god-rays-stress-test)">7: The "Nuclear Benchmark" (White Hair &amp; God Rays Stress Test)</h2>Test Prompt: Masterpiece... Snow White Hair... Pitch Black Background:1.4... God Rays... Subsurface Scattering...This is the ultimate Dynamic Range stress test for any AI model. Most Flux Dev models (and low-rank LoRAs &lt;64) fail catastrophially in this scenario for two main reasons:<ol><li>Luma Clipping: White hair blows out into a solid white blob with no detail.</li><li>Contrast Bleeding: The black background eats into the subject's edges or creates gray banding artifacts.</li></ol>The Rank 128/128 (Dynamic Range LoRA) Performance:Based on the generated samples, the model didn't just render the image; it simulated photon physics.1. Capillary Translucency Phenomenon (Fiber Optic Effect)In the test images (especially where light hits the crown of the head), the model didn't draw white lines; it calculated light scattering through keratin.<ul><li>What to look for: The stray hairs glow intensely but maintain their geometric individuality. They act like optical fibers, transporting the "God Ray" light without losing definition.</li><li>Why Rank Matters: A compressed model (100MB) lacks the vector space to separate "White Light" from "White Object." Our 1.14GB LoRA stores this distinction, allowing for incandescent strands that don't blur.</li></ul>2. Shadow Detail PreservationThe prompt requested <code>Deep Dramatic Shadows</code> and <code>Pitch Black Background:1.4</code>.<ul><li>The Result: Observe the transition from light to shadow on the face. In standard models, skin in the shadow would look smooth (plastic) or noisy. Here, the micro-texture (pores and peach fuzz) remains visible even in low-light zones.</li><li>Technique: The model demonstrates an "ISO Invariant" capability. Skin texture is treated as a physical layer independent of lighting conditions.</li></ul>3. Volumetric Atmosphere vs. 2D FilterThe prompt asked for an <code>Ethereal and Dreamlike Atmosphere</code> alongside <code>Sharp Focus</code>.<ul><li>The Paradox Resolved: The model delivered the "Bloom" (soft glow) in highlighted areas but kept surgical sharpness on the eyes and lips.</li><li>The Engineering: This proves the LoRA understands real 85mm Depth of Field (DoF). The blur is optical, based on Z-depth, not a Gaussian blur applied over the entire image.</li></ul>TEST VERDICT:"Dynamic Range" withstood extreme contrast pressure (Pure White vs. Pure Black) without generating compression artifacts. This confirms that the Rank 128 architecture acts as a "High-Res Buffer" for light, preventing image degradation even under hostile lighting prompts."It's not just a pretty picture. It's a physically correct light simulation."<h2 id="8-core-architecture-(engineering-specs)">8⚙️ CORE ARCHITECTURE (ENGINEERING SPECS)</h2><ul><li>Tensor Dimensions: Rank 128 / Alpha 128 (Full Information Density).</li><li>Optimization Protocol: Prodigy (D-Adaptation) with Constant Scheduler.<ul><li>Note: Non-decaying learning rate ensures high-frequency detail retention until the final epoch.</li></ul></li><li>Dataset Integrity: 100% Curated High-Signal / Zero-Noise.<ul><li>Effect: Eliminates "latent sludge" and vector drift, allowing extreme weight scaling.</li></ul></li><li>Vector Alignment: Perfect Colinearity.<ul><li>Result: Zero anatomical collapse even at extreme weights (up to 30.0).</li></ul></li></ul>🚀 PERFORMANCE BENCHMARKS (INFERENCE)<ul><li>Convergence Speed:<ul><li>6 Steps: Real-Time / Mobile Ready (Structure Lock).</li><li>10 Steps: Production Grade / Macro Detail (Texture Convergence).</li><li>20 Steps: Ultra-High Fidelity (Ray-Tracing Simulation).</li></ul></li><li>Weight Stability: Tested stable from 1.0 to 30.0.<ul><li>Behavior: Acts as a "Contrast &amp; Fidelity Amplifier" at high weights, rather than saturating colors.</li></ul></li><li>Cross-Architecture Support:<ul><li>Flux Dev: Native High-Fidelity Injection.</li><li>Flux Schnell: Restorative Capability (Adds missing GI/Texture to distilled models).</li></ul></li></ul>👁️ VISUAL CAPABILITIES (FEATURES)<ul><li>Micro-Topography: Renders individual pores, skin imperfections, and sweat with specular correctness.</li><li>Optical Physics Simulation:<ul><li>Eye Reflection: Curved reflection mapping on cornea (convex geometry).</li><li>Subsurface Scattering (SSS): Accurate light penetration on skin and organic tissues.</li></ul></li><li>Material Distinction: Hard separation between organic (skin), metallic (jewelry), and textile (denim/silk) textures.</li><li>Lighting Engine: Native "Golden Hour", "Noir/Chiaroscuro", and "Vantablack" (Zero-noise shadows).</li></ul><hr />Use Case Scenarios:<ol><li>High-End Editorial: Fashion &amp; Jewelry photography (Macro details).</li><li>Cinematography: Noir, Thriller, and Horror pre-visualization (Clean shadows).</li><li>Real-Time Rendering: Low-step generation for video pipelines.</li></ol><hr />Developer Note:"This model was engineered to break the 'Rank 32' standard. By utilizing a 128/128 configuration with a zero-noise dataset, LUST achieves what was previously considered impossible: photorealistic convergence in 6 steps with stability at weight 30. It is not just a style; it is a texture engine upgrade for Flux."⚠️ CONTENT WARNING (NSFW):This merge is uncensored and capable of generating high-quality explicit NSFW content and nudity. It has a tendency towards revealing clothing in casual settings.<ul><li>For SFW results: Strong negative prompts are highly recommended (e.g., <code>nude, nipples, explicit, nsfw</code>).</li></ul><hr /><h3 id="license-and-permissions-(read-before-downloading)">⚠️ LICENSE &amp; PERMISSIONS (READ BEFORE DOWNLOADING)</h3>1. PERSONAL USE ONLY This model is provided free of charge for Personal, Non-Profit, and Research use only. You may use it to create images for your personal portfolio.2. STRICTLY NO REDISTRIBUTION<ul><li>❌ DO NOT re-upload this file to Civitai, Hugging Face, or any other platform.</li><li>❌ DO NOT host this model on third-party generation services (e.g., <a target="_blank" rel="ugc" href="http://Tensor.art">Tensor.art</a>, <a target="_blank" rel="ugc" href="http://Mage.space">Mage.space</a>, Telegram Bots).</li></ul>3. COMMERCIAL RESTRICTIONS Using this model or its outputs for commercial revenue (Influencers, Ads, Stock Photos) without a license is PROHIBITED.<hr /><h3 id="commercial-services-and-commissions">💼 COMMERCIAL SERVICES &amp; COMMISSIONS</h3>I do not sell the model file for commercial use. Instead, I offer premium AI solutions for brands and agencies:<ul><li>✨ Exclusive AI Influencers: I create and manage consistent digital personas for Instagram/Social Media.</li><li>🏢 Corporate B2B LoRAs: Custom training for brand identity and mascots.</li><li>📸 High-End Image Packs: Monthly content packages for your brand.</li></ul>To hire me for professional AI Modeling services: 📩 Contact: [<a target="_blank" rel="ugc" href="mailto:designxtreme@outlook.com">designxtreme@outlook.com</a>]<span style="background-color:rgb(26, 27, 30);color:rgb(141, 141, 143);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">To activate the model you need to insert the token "tpmdlstyl<span style="background-color:rgb(26, 27, 30);color:rgb(141, 141, 143);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">" and the class "<span style="background-color:rgb(26, 27, 30);color:rgb(253, 126, 20);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">woman<span style="background-color:rgb(26, 27, 30);color:rgb(141, 141, 143);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">"recommended strength:tpmdlstyl &lt;lora:Lust:30&gt;tpmdlstyl &lt;lora:Lust:20&gt;tpmdlstyl &lt;lora:Lust:15&gt; tpmdlstyl &lt;lora:Lust:10&gt;tpmdlstyl &lt;lora:Lust:1&gt; Important note: flux dev1 can use initial steps of 8 and 10, flux_schnell, steps of 6, 8, and 12, and flux krea can use steps of 6-12.Recommended settings:Standard resolutions 512 x 640, 600x800, 640x960Resolution: 540x540 mark the Hires.fix, result 1080 x 1080 pixelUse these recommended settings for generation:Sampling method: Euler/simpleSampling steps: 6-30Distilled CFG Scale: 3,5 - 8Skip clip: 0Sampling method: Euler/betaSampling steps: 6-30Distilled CFG Scale: 3,5 -8Skip clip: 0

lust

This LoRa allows the use of initial sample methods with steps 6, 8, and 10, dramatically increasing image generation speed with smaller steps. It applies to the flux_dev1 and flux_schnell models, and flux_krea_dev, and works with Distilled CFG Scale between 3.5 and 8.

Files with SHA256: 57a97f9ac4e8a6d02bf9c52d21fedc86a7c9de015b063123948bee4e20b72008