Billy's Cardboard Cars - SDXL LoRA

Model Description:

This LoRA model adapts Stable Diffusion XL (SDXL) to generate images of vehicles constructed from cardboard. While the trigger word is cardboard cars and made of cardboard the model is capable of generating a wide variety of ground vehicles - including trucks, motorbikes and more - in the cardboard aesthetic. Experimentation may reveal it also produces other vehicle types, such as airplanes and ships.

Trigger Word: cardboard cars for cars, and made of cardboard for general stuff and other vehicles.

Recommended LoRA Weight: 0.8

Model Type: LoRA

Base Model: Stable Diffusion XL (SDXL)

License: Billy's Cardboard Cars © 2025 by Robb-0 is licensed under CC BY 4.0 (Creative Commons Attribution 4.0 International) - This license allows for commercial and non-commercial use, modification, and distribution, provided attribution is given to the creator (Robb-0).

How to Use:

1. Load the SDXL base model into your preferred Stable Diffusion environment.

2. Apply this LoRA model.

3. Use the trigger word “Cardboard Cars” in your prompt.

4. Experiment with different prompts and LoRA weights (starting with 0.8) to achieve desired results.

5. Consider adding detail to your prompt. For example, “a cardboard car driving down a busy street, photorealistic”

Example Prompts:

• cardboard cars, a red sports car, sunny day

• cardboard cars, a dump truck full of toys, detailed, realistic

• cardboard cars, a futuristic motorbike, cyberpunk, neon lights

• cardboard cars, a spaceship, detailed, intricate

Known Limitations:

• * The model may produce unexpected vehicle types beyond cars.

• * Results may vary depending on the complexity of the prompt and the base model settings.

• * May require prompting with modifiers to specify need details and styles.

Disclaimer:

This model is provided “as is” without any warranty. The creator is not responsible for any misuse or unintended consequences of using this model.

Dataset Information (Shared with the model):

• Size: 30 images in a .zip file with .txt captions.

• Captioning: Automatically captioned by Civitai.