Multi-identifier_LORA_Model
| Property | Value |
|---|---|
| Author | okingjo |
| License | CreativeML OpenRAIL-M |
| Base Model | Anything V3.0 |
What is Multi-identifier_LORA_Model?
This is a specialized LORA model designed to generate multiple costume variations of anime characters within a single model. It focuses primarily on characters from Genshin Impact and Honkai Impact, using advanced captioning techniques to differentiate between different costumes and appearances.
Implementation Details
The model utilizes a unique training approach where multiple identifiers are managed through careful captioning. Training is conducted using Kohya_SS stable diffusion trainer with the Anything V3.0 full model as the base. The training process typically involves two phases: an initial training with standard learning rates followed by fine-tuning with reduced learning rates.
- Captioning methodology using WD14 with 0.75-0.8 threshold
- Custom learning rates for text encoder and UNet
- Two-phase training approach for optimal results
- Extensive dataset curation with both illustrations and 3D model snapshots
Core Capabilities
- Multiple costume generation for single characters
- High-quality outfit switching through prompt engineering
- Support for both SFW and NSFW content generation
- Efficient model size optimization (64-size per 2 identifiers)
Frequently Asked Questions
Q: What makes this model unique?
The model's ability to handle multiple costume variations within a single LORA model through sophisticated captioning and training techniques sets it apart. This approach reduces the need for multiple separate models while maintaining high quality and accuracy.
Q: What are the recommended use cases?
This model is ideal for generating various costume variations of anime characters, particularly from Genshin Impact and Honkai Impact. It's especially useful for artists and creators who need to maintain character consistency while exploring different outfits and styles.
