| Property | Value |
|---|---|
| Author | prithivMLmods |
| Base Model | black-forest-labs/FLUX.1-dev |
| Network Dimensions | 64 |
| Network Alpha | 32 |
| Training Images | 26 |
| Optimal Resolution | 768 x 1024 |
What is Flux.1-Dev-Indo-Realism-LoRA?
Flux.1-Dev-Indo-Realism-LoRA is a specialized LoRA model designed to enhance the FLUX.1-dev base model for generating Indo-realistic portraits. Currently in development phase, it's trained on a carefully curated dataset of 26 images using florence2-en labeling for natural language and English processing.
Implementation Details
The model employs advanced training parameters including constant LR scheduling, AdamW optimizer, and specialized noise handling with a 0.03 offset and 0.1 multires noise discount. Training was conducted over 20 epochs with 3000 steps, saving checkpoints every epoch.
- Optimized for 768x1024 resolution (best performance)
- Uses bfloat16 precision for efficient processing
- Implements trigger word "indo-realism" for activation
- Features sophisticated noise iteration handling (10 iterations)
Core Capabilities
- Specialized in generating Indo-realistic portraits
- Supports various shot types (medium-angle, headshot, aerial view)
- Handles complex lighting and background elements
- Capable of generating detailed facial features and accessories
Frequently Asked Questions
Q: What makes this model unique?
This model specifically targets Indo-realistic portrait generation with a sophisticated combination of network dimensions (64) and alpha (32), optimized for the FLUX.1-dev base model. It's particularly effective at handling cultural-specific features while maintaining photorealistic quality.
Q: What are the recommended use cases?
The model excels at generating portrait photography with Indo-realistic features, particularly suited for creating headshots, medium-angle shots, and profile pictures. It's especially effective when combined with specific stylistic elements like soft lighting and neutral backgrounds.