<h1 id="vision-vanguard-25">Vision Vanguard 25</h1>LoRA expertly trained by Divergent AIFilm-grade realism. A masterly command of natural light and analogue texture.<h2 id="the-aesthetic">The Aesthetic</h2>Vision Vanguard 25 is a high-fidelity "lens" for modern diffusion models, trained on an extensive dataset of professional photographs that observe the world with unsparing clarity. From the clinical sterility of a medical ward to the gritty, sun-baked textures of a brutalist monument, this model grounds every subject in a rigorous, documentary-grade reality. It excels at capturing the "weight" of things—the grain of concrete, the moisture on a glass vial, and the deep, narrative-driven shadows of cinematic noir.<h2 id="key-features">Key Features</h2><ul><li>Textural Sovereignty: Whether it's weathered log cabins, iridescent insect wings, or wrinkled skin, the model renders material surfaces with professional-grade precision.</li><li>Dynamic Lighting Engine: Effortlessly handles everything from harsh, direct sunlight with deep shadows to diffused, soft ambient interior lighting.</li><li>Global Diversity: Trained on a vast array of human subjects, environments, and objects, making it incredibly versatile for diverse storytelling.</li><li>Cinematic Framing: Automatically applies sophisticated photographic compositions—eye-level medium shots, macro close-ups, and wide environmental views—to your prompts.</li></ul><h2 id="ideal-use-cases">Ideal Use Cases</h2><ul><li>High-End Architectural Visualization: Bring brutalist or industrial designs to life with realistic material weathering and lighting.</li><li>Gritty Cinematic Portraits: Create characters that feel like they’ve stepped out of a serious documentary or a noir film.</li><li>Technical &amp; Macro Studies: Ideal for scientific or product-focused imagery requiring extreme sharpness and shallow depth of field.</li><li>Historical &amp; Documentary Projects: Use the model's inherent realism to create authentic-feeling archival photography.</li></ul><h2 id="getting-started">Getting Started</h2>Vision Vanguard 25 is a triggerless LoRA. You do not need a specific keyword to activate its style. Instead, focus on describing the material textures, the specific light source, and the camera perspective.The model responds exceptionally well to natural language and long-form "Specificity Stack" prompting. Aim for descriptive, atmospheric sentences rather than keyword lists.<hr />A Divergent AI LoRA Project<hr /><h1 id="prompting-guide:-vision-vanguard-25">Prompting Guide: Vision Vanguard 25</h1><h2 id="trigger-words">Trigger Words</h2><ul><li>Primary: None. This LoRA is triggerless. Start your prompts directly with the subject and scene description.</li><li>Style Keywords: <code>documentary photograph</code>, <code>cinematic realism</code>, <code>high-contrast lighting</code>, <code>shallow depth of field</code>, <code>textured concrete</code>, <code>clinical atmosphere</code>.</li></ul><h2 id="optimal-settings">Optimal Settings</h2><ul><li>LoRA Strength: <code>0.8 - 1.0</code> (Use 1.0 for full stylistic "weight", 0.8 for more flexible subject blending).</li></ul><h2 id="recommended-prompt-structure">Recommended Prompt Structure</h2>This model responds best to Natural Language (Long-form descriptions) with a specific "Specificity Stack":<ol><li>Core Subject: Be extremely specific about the person, object, or creature.</li><li>Action/State: What is the physical state of the subject? (e.g., "gazing directly forward", "leaning against a corrugated wall").</li><li>Environment/Surface: Describe the materials and textures surrounding the subject (e.g., "weathered grey concrete", "distressed peach-colored tunic").</li><li>Lighting &amp; Contrast: Define the light source and shadow quality (e.g., "harsh directional sunlight", "diffused fluorescent interior light").</li><li>Camera Perspective: Set the lens (e.g., "eye-level medium shot", "macro close-up", "wide environmental shot").</li></ol><h2 id="tips-for-best-results">Tips for Best Results</h2><ul><li>Embrace the Muted: The model excels at muted color palettes. Don't force too many colors; let one or two "accents" (e.g., a "vibrant teal tank" or "red kurta") pop against grey/tan backgrounds.</li><li>Textural Precision: Mentioning materials like "raw concrete", "weathered metal", or "coarse fur" unlocks the model's high-fidelity textural rendering.</li><li>Narrative Framing: Instead of just "a man", describe a scene: "A man of European origin standing over the open hood of a dark car at night." This triggers the model's cinematic training.</li></ul><h2 id="creative-exploration">Creative Exploration</h2><ul><li>Cross-Genre Realism: Try placing highly fantastical subjects (e.g., "a bioluminescent jellyfish") in mundane, gritty environments (e.g., "a sterile medical laboratory"). The model will ground the fantasy in hyper-realistic textures.</li><li>Lighting Extremes: Use <code>harsh backlighting</code> or <code>chiaroscuro</code> to leverage the model's excellent shadow handling.</li></ul>

Vision Vanguard 25 (ERNIE-Image)

Updates V2026.2 is trained using different methodologies at a lower LR (Learning Rate). This has made the LoRA better at avoiding artifacts and hallucinations, as V2026.1 tended to be overfitted. Technical Specifications<ul><li>  Base Model: ERNIE-Image</li><li>  Version: 2016.2</li><li>  Recommended Weight: 0.85-1.0</li><li>  Resolution: 512 (Trained) 1024 (Output)</li><li>  CFG Scale: 4.6 (Base) 1.0 (Turbo)</li><li>  Steps: 35-50 (Base) 8-9 (Turbo)</li></ul>Vision Vanguard 25 is more than a filter; it is a structural enhancement for your creative pipeline. Use it to bring unparalleled realism and technical depth to your AI photography.

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