HorrorLora
| Property | Value |
|---|---|
| Author | Aotsuyu |
| License | CreativeML OpenRAIL-M |
| Community Likes | 12 |
What is HorrorLora?
HorrorLora is a specialized LoRA model designed to enhance the generation of horror-themed images in stable diffusion models. Created by Aotsuyu, this model was trained on approximately 500 carefully curated horror-tagged images to produce more effective creepy and atmospheric results.
Implementation Details
The model features built-in noise offset and operates using the specific token 'hrrsks'. For optimal results, it should be used in conjunction with the tag 'horror (theme)' and complementary tags like 'night', 'darkness', 'dark', and 'black (theme)'. The model reached its optimal performance at epoch 8, though results may vary across different base models.
- Pre-baked noise offset functionality
- Trained on 500+ curated horror images
- Compatible with various base models
- Optimized for epoch 8 usage
Core Capabilities
- Generation of horror-themed artistic content
- Enhanced creepy atmosphere creation
- Versatile application across different contexts
- Abstract and varied output generation
Frequently Asked Questions
Q: What makes this model unique?
HorrorLora's uniqueness lies in its specialized training on carefully selected horror-themed images and its built-in noise offset, which helps create more atmospheric and creepy results without additional configuration.
Q: What are the recommended use cases?
The model is ideal for creating horror-themed artwork, atmospheric dark scenes, and creepy imagery. It works best when combined with complementary darkness-related tags and the specific token 'hrrsks'.
