Canopus-LoRA-Flux-FaceRealism
| Property | Value |
|---|---|
| Base Model | black-forest-labs/FLUX.1-schnell |
| License | CreativeML OpenRAIL-M |
| Network Architecture | LoRA (64 dimensions, 32 alpha) |
| Training Data | 200+ High-Resolution Images |
What is Canopus-LoRA-Flux-FaceRealism?
Canopus-LoRA-Flux-FaceRealism is a specialized fine-tuning model designed to enhance facial realism in image generation using the FLUX.1-schnell base model. It employs Low-Rank Adaptation (LoRA) techniques with carefully calibrated parameters to produce highly realistic facial features and expressions.
Implementation Details
The model utilizes a constant learning rate scheduler with AdamW optimizer, incorporating advanced features like noise offset (0.03) and multires noise iterations (10). Training was conducted over 20 epochs with 3.1K+ steps, using florence2-en labeling for natural language processing.
- Network Dimension: 64 with Alpha 32
- Training Duration: 20 epochs
- Optimizer: AdamW with constant scheduler
- Noise Parameters: 0.03 offset, 0.1 discount
Core Capabilities
- Photorealistic facial feature generation
- Enhanced texture and lighting detail
- Support for various portrait styles (studio, outdoor, fashion)
- Multiple aspect ratio support (128:85, 85:128, 3:5)
Frequently Asked Questions
Q: What makes this model unique?
This model specifically excels in facial realism, trained on high-resolution images with careful parameter tuning to achieve natural-looking results. The combination of FLUX base model with LoRA adaptation provides superior control over facial features while maintaining photorealistic quality.
Q: What are the recommended use cases?
The model is ideal for generating portrait photography, headshots, fashion photography with facial focus, and any image generation requiring realistic human faces. It works best when triggered with keywords like 'face', 'realism', or 'face realism'.
