Golf Course Generator
| Property | Value |
|---|---|
| Author | bethecloud |
| License | CreativeML OpenRAIL-M |
| Framework | PyTorch, Diffusers |
| Dataset Size | 21 images |
What is golf-course-generator?
The golf-course-generator is a specialized AI model that combines the beauty of golf courses with historical landmarks using DreamBooth technology. Built on Stable Diffusion, this model was fine-tuned on a carefully curated dataset of 21 high-quality golf course images from Unsplash, enabling it to generate unique and realistic golf course scenes with iconic historical backgrounds.
Implementation Details
The model utilizes the StableDiffusionPipeline architecture and is implemented using PyTorch and Diffusers libraries. It was developed as part of the DreamBooth Hackathon and leverages decentralized cloud storage through Storj DCS for enhanced accessibility and performance.
- Built on Stable Diffusion architecture
- Trained using DreamBooth fine-tuning
- Implements StableDiffusionPipeline for inference
- Uses decentralized storage for dataset management
Core Capabilities
- Generates photorealistic golf course images
- Seamlessly integrates historical landmarks into backgrounds
- Supports custom prompts with "a photo of golf course" as base instance
- Handles various architectural and landscape combinations
Frequently Asked Questions
Q: What makes this model unique?
This model uniquely combines golf course landscapes with historical landmarks, creating imaginative yet realistic scenes that blend sports facilities with cultural heritage. The use of decentralized storage and careful curation of training data sets it apart from similar generators.
Q: What are the recommended use cases?
The model is ideal for creating concept art for golf course designs, generating marketing materials for golf tourism, and creating unique visualizations combining sports and historical architecture. It's particularly useful for creative projects that want to blend contemporary golf landscapes with historical elements.
