Flux-Realism-FineDetailed
| Property | Value |
|---|---|
| Base Model | black-forest-labs/FLUX.1-dev |
| License | CreativeML OpenRAIL-M |
| Network Dimensions | 64 |
| Network Alpha | 32 |
| Training Images | 27 |
What is Flux-Realism-FineDetailed?
Flux-Realism-FineDetailed is a specialized LoRA (Low-Rank Adaptation) model designed to enhance the generation of highly detailed realistic images. Built on the FLUX.1-dev base model, it employs precise parameter tuning with a network dimension of 64 and alpha of 32 to achieve superior detail in generated images.
Implementation Details
The model utilizes constant LR scheduling with AdamW optimization, incorporating sophisticated noise handling through a 0.03 noise offset and 0.1 multires noise discount across 10 iterations. Training was conducted over 15 epochs with 3400 steps and a repeat factor of 28.
- Optimal resolution: 1024x1024
- Requires "Fine Detailed" trigger word
- Implements florence2-en labeling for natural language processing
Core Capabilities
- High-fidelity portrait generation
- Enhanced detail rendering in facial features
- Sophisticated environmental detail processing
- Realistic lighting and texture generation
Frequently Asked Questions
Q: What makes this model unique?
This model's strength lies in its carefully calibrated parameters and specialized training focusing on fine detail generation, particularly effective for portrait and character imagery.
Q: What are the recommended use cases?
The model excels in generating detailed portraits, character designs, and scenes requiring high levels of realism and fine detail, particularly effective when using the 1024x1024 resolution.
