Flux-Toonic-2.5D-LoRA
| Property | Value |
|---|---|
| Base Model | black-forest-labs/FLUX.1-dev |
| License | CreativeML OpenRAIL-M |
| Network Architecture | LoRA (64 dim, 32 alpha) |
| Training Images | 15 |
| Optimal Resolution | 768x1024 |
What is Flux-Toonic-2.5D-LoRA?
Flux-Toonic-2.5D-LoRA is a specialized fine-tuning model developed by prithivMLmods that enhances FLUX.1-dev's capabilities for generating 2.5D cartoon-style images. The model utilizes Low-Rank Adaptation (LoRA) technology and has been trained on a carefully curated dataset of 15 images using the florence2-en labeling system.
Implementation Details
The model employs an AdamW optimizer with a constant learning rate scheduler and incorporates advanced noise handling with a 0.03 noise offset and 0.1 multires noise discount. Training was conducted over 15 epochs with 2900 steps and 23 repeats per epoch.
- Network Configuration: 64 dimensions with 32 alpha scaling
- Training Parameters: 15 epochs with saves every epoch
- Noise Processing: 10 multires noise iterations
- Trigger Word: "toonic 2.5D"
Core Capabilities
- Generation of 2.5D cartoon-style imagery
- Optimal performance at 768x1024 resolution
- Specialized character and scene composition
- Integration with FLUX.1-dev base model
Frequently Asked Questions
Q: What makes this model unique?
This model specializes in creating 2.5D cartoon-style images with a specific aesthetic, optimized through careful parameter tuning and a focused training dataset. The combination of LoRA architecture with the FLUX.1-dev base model enables efficient and high-quality cartoon generation.
Q: What are the recommended use cases?
The model excels at generating cartoon characters, scenes, and illustrations in a 2.5D style. It's particularly suitable for creating character portraits, vehicle scenes, and environmental compositions with a distinct cartoon aesthetic.
