Flux.1-Dev-LoRA-HDR-Realism
| Property | Value |
|---|---|
| License | CreativeML OpenRAIL-M |
| Base Model | black-forest-labs/FLUX.1-dev |
| Network Dimensions | 64 |
| Training Images | 14 |
| Optimal Resolution | 1024x1024 |
What is Flux.1-Dev-LoRA-HDR-Realism?
This is an experimental LoRA model designed to enhance HDR capabilities in image generation using the FLUX.1-dev base model. Currently in training phase, it's specifically optimized for creating high-dynamic-range imagery with enhanced realism.
Implementation Details
The model employs sophisticated training parameters including an AdamW optimizer, constant LR scheduler, and carefully tuned noise parameters (offset: 0.03, discount: 0.1). It was trained over 17 epochs with 2000 steps and uses florence2-en for natural language processing in English.
- Network Alpha: 32
- Multires Noise Iterations: 10
- Save Frequency: Every epoch
- Training Dataset: 14 curated images
Core Capabilities
- HDR image generation at 1024x1024 resolution
- Realistic portrait generation with enhanced lighting dynamics
- Detailed texture and environmental lighting reproduction
- Specialized in facial features and environmental context
Frequently Asked Questions
Q: What makes this model unique?
The model's specialization in HDR imagery, combined with its optimized network dimensions and careful noise parameter tuning, makes it particularly effective for creating realistic images with enhanced dynamic range.
Q: What are the recommended use cases?
This model excels in generating portraits with complex lighting conditions, detailed facial features, and environmental context, particularly when HDR effects are desired.
