Flux.1-Dev-LoRA-HDR-Realism
| Property | Value |
|---|---|
| License | CreativeML OpenRAIL-M |
| Base Model | black-forest-labs/FLUX.1-dev |
| Training Images | 14 |
| Optimal Resolution | 1024x1024 |
What is Flux.1-Dev-LoRA-HDR-Realism?
Flux.1-Dev-LoRA-HDR-Realism is an experimental LoRA model designed specifically for enhancing HDR (High Dynamic Range) capabilities in image generation. Built on the FLUX.1-dev base model, it has been trained with specialized parameters to achieve realistic HDR effects in generated images.
Implementation Details
The model employs sophisticated training parameters including a constant LR scheduler with AdamW optimizer, utilizing a network dimension of 64 and alpha of 32. Training was conducted over 17 epochs with 2000 steps, incorporating noise offset (0.03) and multires noise iterations for optimal results.
- Network Architecture: LoRA adaptation with 64 dimension and 32 alpha
- Training Configuration: 17 epochs with 2000 steps
- Optimization: AdamW with constant learning rate
- Specialized HDR Processing: Enhanced dynamic range capability
Core Capabilities
- HDR-optimized image generation
- Optimal performance at 1024x1024 resolution
- Specialized in realistic lighting and contrast
- Compatible with FLUX.1-dev pipeline
Frequently Asked Questions
Q: What makes this model unique?
This model specializes in HDR image generation, utilizing carefully tuned parameters and specialized training to achieve enhanced dynamic range in generated images. The experimental nature allows for pushing boundaries in realistic lighting and contrast.
Q: What are the recommended use cases?
The model is ideal for generating images requiring sophisticated lighting and contrast control, particularly in portrait photography, architectural visualization, and artistic compositions where HDR effects are desired.
