Flux-Realism-FineDetailed
| Property | Value |
|---|---|
| Base Model | black-forest-labs/FLUX.1-dev |
| License | CreativeML OpenRAIL-M |
| Training Images | 27 |
| Network Architecture | LoRA (64 dim, 32 alpha) |
What is Flux-Realism-FineDetailed?
Flux-Realism-FineDetailed is a specialized LoRA model designed to enhance the FLUX.1-dev base model's capability in generating highly detailed, realistic images. It employs precise parameter tuning with AdamW optimizer and constant learning rate scheduling, incorporating advanced noise handling techniques for optimal image generation.
Implementation Details
The model utilizes a sophisticated training approach with noise offset (0.03) and multires noise iterations (10), trained across 15 epochs with 3400 steps per epoch. The implementation focuses on natural language labeling in English using the florence2-en system.
- Optimized for 1024x1024 resolution outputs
- Implements constant learning rate scheduler
- Features noise offset and multires noise discount mechanisms
- Requires "Fine Detailed" trigger word for optimal results
Core Capabilities
- High-fidelity realistic image generation
- Detailed facial features and texture reproduction
- Enhanced environmental and lighting detail
- Specialized in portrait and character generation
Frequently Asked Questions
Q: What makes this model unique?
This model stands out through its specialized fine-tuning process using carefully curated training data and advanced noise handling techniques, resulting in exceptionally detailed realistic outputs.
Q: What are the recommended use cases?
The model excels in generating detailed portraits, character images, and realistic scenes, particularly when high-fidelity detail is crucial. It's especially effective for photographic-style outputs with natural lighting and textures.
