Coastal Tukano (SDXL) - Raw Coastal Realism Concept LoRACoastal_Tukano is an atmospheric and environmental concept LoRA trained on a high-quality dataset of genuine mobile photography. Every single photo was captured on location in a real Mexican coastal town, capturing the authentic essence, raw textures, and natural lighting of coastal life.This model is specifically designed for SDXL to break away from the over-processed, "plastic" digital look of AI, delivering a gritty, organic, and beautifully imperfect "Raw Realism."### 🌅 What this LoRA brings to your generations:* Rich Textures &amp; Weathered Elements: Exceptional rendering of sun-baked streets, old wooden fishing boats (*lanchas*), salt-corroded peeling paint on concrete walls, and heavily rusted iron doors.* Dynamic Light &amp; Shadow Play: Captures the harsh, high-contrast interior lighting where tropical sunlight cuts through windows, creating dramatic and authentic shadows.* Full Time-of-Day Versatility: Seamlessly adapts to different lighting conditions—from the crisp, bright morning sun and the intense glare of midday to golden sunsets and deep coastal nights.### 🛠️ How to Use &amp; Recommendations:* Trigger Word: <code>Coastal_Tukano</code>* LoRA Weight: * <code>0.6 - 0.8</code> (Recommended when combining with characters or specific subjects).* <code>1.0</code> (For pure scenery, environmental design, architecture, or landscape shots).* Prompting Style: This model triggers best using Natural Language Captions rather than strict Booru tags. Describe your scene in full, descriptive sentences (e.g., <code>Coastal_Tukano, a shot inside a rustic coastal room with sunlight streaming through the window, casting harsh shadows on an empty chair against a peeling paint wall</code>).* Pro Tip: Avoid generic quality buzzwords like masterpiece, ultra detailed, or 8k to preserve the raw, cinematic, and analog-like fidelity of the mobile photography dataset.Built for creators who value dirty realism, candid framing, and the authentic texture of the real world.

Files with SHA256: 4320322e6a75008983af18f2147b909adb343a35f93626627ff53b603883f3c2