Flux-YWL-Realism-LoRA
| Property | Value |
|---|---|
| Base Model | black-forest-labs/FLUX.1-dev |
| License | CreativeML OpenRAIL-M |
| Training Images | 22 Hi-Res Images |
| Network Architecture | 64 dimensions, 32 alpha |
What is Flux-YWL-Realism-LoRA?
Flux-YWL-Realism-LoRA is a specialized LoRA (Low-Rank Adaptation) model built on the FLUX.1-dev base model, designed to generate highly realistic images. The model employs a constant learning rate scheduler with AdamW optimizer and features sophisticated noise handling through multires noise iterations.
Implementation Details
The model utilizes a network dimension of 64 with an alpha of 32, trained over 23 epochs with 3100 steps. It implements a noise offset of 0.03 and a multires noise discount of 0.1, optimized through 10 iterations. The training process involved 22 high-resolution images with florence2-en labeling for natural language processing in English.
- Optimal resolution: 768 x 1024 (Best performance)
- Alternative resolution: 1024 x 1024 (Default)
- Trigger word required: "ylw realism"
- Trained with bfloat16 precision
Core Capabilities
- Realistic image generation with emphasis on portrait and human subjects
- Advanced noise handling for improved image quality
- Optimized for specific aspect ratios
- Seamless integration with FLUX.1-dev pipeline
Frequently Asked Questions
Q: What makes this model unique?
This model combines sophisticated noise handling with targeted training on high-resolution images, specifically optimized for realistic human portraits and scenes. The careful balance of network dimensions and training parameters makes it particularly effective at its intended use case.
Q: What are the recommended use cases?
The model excels at generating realistic portraits and human subjects, particularly when used at the recommended 768x1024 resolution. It's ideal for creating detailed, lifelike images when properly prompted with the "ylw realism" trigger word.
