Flux-Realism-FineDetailed
| Property | Value |
|---|---|
| Base Model | black-forest-labs/FLUX.1-dev |
| License | CreativeML OpenRAIL-M |
| Training Images | 27 |
| Optimal Resolution | 1024x1024 |
What is Flux-Realism-FineDetailed?
Flux-Realism-FineDetailed is a specialized LoRA model designed to enhance the photorealistic capabilities of the FLUX.1-dev base model. It employs advanced training parameters including a constant learning rate scheduler and AdamW optimizer to achieve superior detail and texture quality in generated images.
Implementation Details
The model utilizes a network dimension of 64 and network alpha of 32, trained over 15 epochs with 3400 steps. It implements sophisticated noise handling with a 0.03 noise offset and multires noise iterations of 10, ensuring stable and high-quality image generation.
- Constant learning rate scheduler with AdamW optimization
- Network architecture: 64 dimensions with 32 alpha
- Training protocol: 15 epochs with 3400 steps
- Florence2-en labeling system for natural language processing
Core Capabilities
- High-fidelity photorealistic image generation
- Enhanced detail preservation in facial features and textures
- Optimal performance at 1024x1024 resolution
- Specialized in portrait and character generation
Frequently Asked Questions
Q: What makes this model unique?
This model's unique strength lies in its specialized training for fine detail preservation using carefully curated parameters and a small but high-quality training dataset of 27 images.
Q: What are the recommended use cases?
The model excels at generating photorealistic portraits, character images, and detailed scenes, particularly when triggered with the "Fine Detailed" prompt prefix.
