Flux-Realism-FineDetailed
| Property | Value |
|---|---|
| Base Model | black-forest-labs/FLUX.1-dev |
| License | CreativeML OpenRAIL-M |
| Network Dimensions | 64 |
| Training Images | 27 |
What is Flux-Realism-FineDetailed?
Flux-Realism-FineDetailed is a specialized LoRA (Low-Rank Adaptation) model designed to enhance the FLUX.1-dev base model's capabilities in generating highly detailed, photorealistic images. The model has been carefully trained on a curated dataset of 27 images using advanced optimization techniques including constant learning rate scheduling and AdamW optimization.
Implementation Details
The model utilizes a network dimension of 64 with an alpha of 32, incorporating sophisticated noise handling with a 0.03 offset and multires noise iterations set to 10. Training was conducted over 15 epochs with 3400 steps, ensuring optimal convergence for fine-detailed image generation.
- Constant learning rate scheduler with AdamW optimizer
- Noise offset: 0.03 with multires discount of 0.1
- Optimal resolution: 1024 x 1024
- Florence2-en labeling system for natural language processing
Core Capabilities
- Photorealistic image generation with enhanced detail
- Natural skin texture and lighting effects
- Sophisticated background handling
- Fine detail preservation in portrait and landscape modes
Frequently Asked Questions
Q: What makes this model unique?
The model's specialization in fine detail rendering, combined with its carefully tuned noise handling parameters and optimization settings, makes it particularly effective for generating highly realistic images with natural textures and lighting.
Q: What are the recommended use cases?
This model excels at generating detailed portraits, outdoor scenes, and complex compositions where fine detail and realism are crucial. It's particularly effective when used with the trigger word "Fine Detailed" in prompts.
