Updated: Jun 17, 2025
vehicleModel Card: Skyline Super Silhouette Visual LoRA
Model Purpose:
This LoRA is designed to generate or stylize images of the Nissan Skyline Super Silhouette race car with high visual fidelity and authentic historic detailing. It supports creative exploration, retro motorsport illustration, and dataset generation across varied contexts and art styles.
Trigger Word(s):
skyline_super_silhouette
Use Cases:
- Automotive art and concept rendering
- Historical motorsport recreations
- Style transfer for retro racing liveries
- Dataset augmentation for detection, classification, or fine-tuning
Training Focus:
- Accurate body proportions of the Nissan Skyline Super Silhouette
- Key design elements such as box flares, widebody stance, vented hood, and oversized rear wing
- TOMICA livery, white decals, and sponsor logos
- Variety of visual elements including gold or white mesh wheels, exposed roll cage, racing seats
- Angles: side, front, rear, and three-quarter views under clean lighting
Supported Tags:
- Color and styling (e.g., red body, black aero kit, white decals)
- Race-specific components (e.g., widebody fenders, racing number, vented hood, mesh wheels)
- Visual context (studio photo, garage, showroom, racetrack, urban or outdoor settings)
- Lighting and quality descriptors (early morning light, ambient lighting, soft shadows)
Image Types:
Studio photography, exhibition photos, outdoor captures, and museum or pit garage settings
Recommended Sampling Settings:
- Strength: 0.6–0.8 for balanced fidelity and integration
- Resolution: 512x512 or higher
- Works best with SDXL Illustrious or realism-focused base models