Flux-Super-Realism-LoRA
| Property | Value |
|---|---|
| License | MIT |
| Base Model | black-forest-labs/FLUX.1-dev |
| Network Dimensions | 64 |
| Training Images | 55 Hi-Res |
What is Flux-Super-Realism-LoRA?
Flux-Super-Realism-LoRA is an advanced adaptation of the FLUX.1-dev model, specifically engineered to enhance photorealistic image generation. This LoRA model implements sophisticated training parameters including constant LR scheduling, AdamW optimization, and specialized noise handling to achieve superior realism in generated images.
Implementation Details
The model utilizes a carefully crafted training configuration with Network Dim of 64 and Network Alpha of 32, combined with 20 epochs of training. It employs multires noise processing with a 0.1 discount factor and 10 iterations, ensuring high-quality output generation.
- Optimized for 1024x1024 and 768x1024 image dimensions
- Implements florence2-en labeling for natural language processing
- Features constant LR scheduler with 0.03 noise offset
- 30 repeat steps with 4380 total steps
Core Capabilities
- Superior face realism generation
- Enhanced photorealistic detail rendering
- High-resolution output optimization
- Improved dynamic range handling
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its specialized focus on super-realistic image generation, particularly in facial details and overall image quality. It builds upon previous versions with significant improvements in face realism and ultra-realistic rendering capabilities.
Q: What are the recommended use cases?
The model excels in generating high-quality portrait photography, realistic face renderings, and detailed environmental shots. It's particularly effective when using the trigger word "Super Realism" in prompts, though including terms like "realistic" and "realism" in descriptions can also yield good results.
