Pastel-BG-Flux-LoRA
| Property | Value |
|---|---|
| Base Model | black-forest-labs/FLUX.1-dev |
| License | CreativeML OpenRAIL-M |
| Network Configuration | Dim: 64, Alpha: 32 |
| Training Images | 18 Hi-RES Images |
What is Pastel-BG-Flux-LoRA?
Pastel-BG-Flux-LoRA is a specialized LoRA model trained on the FLUX.1-dev base model, designed to generate images with distinctive pastel backgrounds. The model is currently in training phase and has been optimized using AdamW optimizer with constant learning rate scheduling.
Implementation Details
The model implements a sophisticated training approach with noise offset of 0.03 and multires noise iterations of 10. It was trained for 15 epochs with 3340 steps and a repeat value of 28, utilizing florence2-en for natural language labeling in English.
- Optimal resolution: 1024 x 1024
- Network dimensions: 64 with alpha 32
- Training configuration: AdamW optimizer with constant LR scheduler
- Noise parameters: 0.03 offset, 0.1 discount
Core Capabilities
- Generation of pastel-themed backgrounds
- Character composition with vibrant color schemes
- Integration with FLUX.1-dev pipeline
- Trigger word implementation: "Pastel BG"
Frequently Asked Questions
Q: What makes this model unique?
This model specializes in creating pastel backgrounds with specific attention to color harmony and composition, trained on carefully curated high-resolution images.
Q: What are the recommended use cases?
The model is ideal for generating images with soft, pastel-colored backgrounds, particularly suited for character portraits, cat images, and scenes requiring gentle color gradients.
