Retro-Pixel-Flux-LoRA
| Property | Value |
|---|---|
| Base Model | black-forest-labs/FLUX.1-dev |
| License | CreativeML OpenRAIL-M |
| Training Images | 16 High-Resolution Images |
| Optimal Resolution | 1024x1024 |
What is Retro-Pixel-Flux-LoRA?
Retro-Pixel-Flux-LoRA is a specialized LoRA model designed to generate retro-style pixel art using the FLUX.1 base model. This model transforms modern image prompts into pixelated artwork reminiscent of classic video games and early digital art. The model was trained using carefully curated parameters including a constant learning rate scheduler and AdamW optimizer.
Implementation Details
The model utilizes a network dimension of 64 with an alpha of 32, trained over 15 epochs. It implements noise offset (0.03) and multires noise features for enhanced image quality. The training process involved 2340 steps with a repeat factor of 24.
- Network Architecture: LoRA adaptation of FLUX.1
- Training Parameters: 64 network dimensions, 32 alpha
- Image Processing: Florence2-en labeling system
- Optimization: AdamW with constant learning rate
Core Capabilities
- Generates high-quality pixel art at 1024x1024 resolution
- Specializes in retro-style image transformation
- Supports diverse subject matter from animals to landscapes
- Maintains consistent pixelated aesthetic across generations
Frequently Asked Questions
Q: What makes this model unique?
The model combines modern AI capabilities with retro pixel art aesthetics, using specialized training parameters and a carefully curated dataset of 16 high-resolution images to achieve consistent pixelated results.
Q: What are the recommended use cases?
This model is ideal for creating retro-style game assets, pixel art illustrations, and nostalgic digital artwork. It works best with clear, descriptive prompts that include the trigger word "Retro Pixel".
