| Property | Value |
|---|---|
| Base Model | black-forest-labs/FLUX.1-dev |
| License | CreativeML OpenRAIL-M |
| Training Images | 14 |
| Optimal Resolution | 768x1024 |
What is Flux-GArt-LoRA?
Flux-GArt-LoRA is a specialized LoRA adaptation trained on the FLUX.1-dev base model, designed specifically for generating artistic outdoor scenes. The model employs a sophisticated training approach using AdamW optimizer and constant learning rate scheduler, with careful attention to noise parameters for optimal image generation.
Implementation Details
The model features a network dimension of 64 and alpha of 32, trained over 10 epochs with 2500 steps per repeat cycle. It utilizes advanced noise handling with a 0.03 offset and multi-resolution noise discount of 0.1 across 10 iterations.
- Trigger word "GArt" required for generation
- Optimized for 768x1024 resolution (best performance)
- Supports 1024x1024 as default resolution
- Trained using florence2-en labeling system
Core Capabilities
- Detailed outdoor scene generation
- Artistic interpretation of landscapes
- Complex lighting and atmospheric effects
- Architectural and natural element integration
Frequently Asked Questions
Q: What makes this model unique?
The model specializes in creating artistic outdoor scenes with particular attention to lighting, perspective, and environmental details, trained on a carefully curated dataset of 14 images.
Q: What are the recommended use cases?
This model excels at generating detailed outdoor scenes including landscapes, architectural elements, and natural environments, particularly when high artistic quality is desired.