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bf16 SafeTensor

(Krea 2) Vision Vanguard 22 V2026.1.safetensors

BF16, good balance • 218 MB

Verified:

Type

LoRA

Stats

170

Reviews

Published

Jul 5, 2026

Base Model

Krea 2

Hash

AutoV2
11FEFAF3B5
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Followers - 102

102

Likes - 429

429

Downloads - 4261

4.3K

(Krea 2) Vision Vanguard 22 V2026.1 - The Glabrous Gown_00001_.png

Vision Vanguard 22

Film-grade realism. A masterly command of natural light and analogue texture.

The Aesthetic

Vision Vanguard 22 is a masterclass in cinematic contrast and depth. Designed for those who demand uncompromising photorealism, this model specializes in the interplay between light and shadow. It excels at plunging scenes into moody, brooding blacks while highlighting textures with surgical precision. From pensive human portraits to vast, dramatic landscapes, VV22 grounds every generation in a world of quiet intensity and environmental storytelling.

Key Features

  • Surgical Texture Rendering: Captures the physical reality of materials—wet stone, weathered skin, wrinkled fabric, and gnarled wood—with unparalleled detail.

  • Dynamic Lighting Mastery: Expertly handles high-contrast, low-key lighting, chiaroscuro effects, and dramatic artificial sources like stadium floodlights.

  • Cinematic Depth of Field: Delivers professional-grade focus management, from razor-sharp macro details to expansive, atmospheric wide shots.

Ideal Use Cases

  • Editorial Portraits: Capturing the pensive and industrious expressions of human subjects with a "lived-in" feel.

  • Prestige Drama Stills: Creating scenes that look like high-budget film stills or brooding documentary photography.

  • Macro Nature & Industrial: Discovering the beauty in decay, from rusted gears to crystalline formations and bioluminescent life.

Getting Started

To unlock the best results from Vision Vanguard 22, use the primary trigger word and descriptive natural language:

  • Trigger Word: VISION VANGUARD 22

  • Recommended Strength: 0.85 - 1.0

  • Core Strategy: Focus on material textures and specific lighting directions. Use the Specificity Stack (Subject -> Action -> Environment -> Lighting) to guide the model.


Created by Divergent AI

Prompting Guide: Vision Vanguard 22

Trigger Words

  • Primary Trigger: NO PRIMARY TRIGGER

  • Secondary Keywords: cinematic photography, high contrast, shallow depth of field, deep shadows, natural lighting.

Optimal Settings

  • LoRA Strength: 0.85 - 1.0 (Use 1.0 for maximum stylistic grit, 0.85 for smoother skin textures).

  • Base Model Recommendations: Optimized for Flux.1-dev.

  • Negative Prompting: Not strictly required, but flat lighting, low resolution, plastic skin, cartoon, anime can help maintain realism.

This model responds best to Natural Language descriptive blocks. Follow the Specificity Stack:

  1. Subject: Be precise about age, origin, and expression (e.g., "An elderly European man with a pensive, weathered face").

  2. Action/State: Describe the moment (e.g., "leaning into a concrete corner", "walking briskly across a wet sidewalk").

  3. Environment: Materiality is key (e.g., "textured concrete walls with formwork lines", "reflective cobblestone paved ground").

  4. Lighting: Define the light source and its effect (e.g., "harsh directional light from the upper right creating stark shadows").

  5. Atmosphere: Finish with a mood keyword (e.g., "gritty urban atmosphere", "serene and awe-inspiring natural environment").

Tips for Best Results

  • Materiality: Use words like textured, weathered, rippled, gnarled, and wet to unlock the model's obsession with surface detail.

  • Contrast: The model excels at low-key setups. Don't be afraid to prompt for entirely black backgrounds or deep shadows.

  • Perspective: Experiment with low-angle for drama and overhead high-angle for abstract compositions.

Creative Exploration

  • Abstract Patterns: Use keywords like circular collage, geometric grid, and repetitive diamond-shaped modules to push the model's structural capabilities.

  • Color Accents: Combine muted desaturated tones with a single vibrant accent (e.g., "vibrant magenta skirt", "intense saturated green smoke") for high-impact visuals