Model Card: Koenigsegg Agera R Visual LoRA

Model Purpose:

This LoRA is trained to generate or enhance images of the Koenigsegg Agera R hypercar in a variety of perspectives, lighting conditions, liveries, and styles. It is optimized for high-accuracy tagging and consistent style rendering within automotive image generation pipelines.

Trigger Word(s):

agera r

Use Cases:

- Automotive concept art

- Product renders or advertising mockups

- Style and livery exploration

- Visual dataset augmentation for car detection or classification

Training Focus:

- Consistent body shapes, aerodynamic lines, and signature design cues of the Agera R

- Accurate lighting reflections on high-gloss, matte, and carbon fiber materials

- Variety of angles: front, side, rear, three-quarter

- Support for multiple color schemes and liveries

Supported Tags:

- Color descriptors (e.g., white body, matte black, red accents)

- Visual components (carbon fiber texture, fixed rear wing, sharp headlights)

- Environmental contexts (studio photo, outdoor setting, racetrack, urban)

Image Types:

Photorealistic renders, toy/model reproductions, clean studio compositions, and outdoor photography

Recommended Sampling Settings:

- Strength: 0.6–0.8 for subtle style transfer

- Resolution: 512x512 and higher preferred

- Works well with both anime and photorealistic base models when appropriately prompted