Flux-Ghibli-Art-LoRA
| Property | Value |
|---|---|
| Base Model | FLUX.1-dev |
| Network Dimensions | 64 |
| Network Alpha | 32 |
| Training Images | 20 |
| Author | strangerzonehf |
What is Flux-Ghibli-Art-LoRA?
Flux-Ghibli-Art-LoRA is a specialized fine-tuning model that adapts the FLUX.1-dev base model to generate Studio Ghibli-inspired artwork. The model was trained on a carefully curated dataset of 20 images using LoRA (Low-Rank Adaptation) technology, optimized for creating detailed scenes with the distinctive Ghibli art style.
Implementation Details
The model employs constant LR scheduling with AdamW optimizer, utilizing a network dimension of 64 and alpha of 32. Training was conducted over 15 epochs with 2400 steps, incorporating advanced features like noise offset (0.03) and multires noise iterations.
- Optimal image dimensions: 1280x832 (3:2 aspect ratio)
- Recommended inference steps: 30-35
- Uses bfloat16 precision for efficiency
- Implements noise discount of 0.1
Core Capabilities
- Generates detailed environmental scenes with Ghibli-style aesthetics
- Excels at character placement in scenic backgrounds
- Supports various weather conditions and lighting scenarios
- Maintains consistent artistic style across different scene types
Frequently Asked Questions
Q: What makes this model unique?
This model specifically targets the Studio Ghibli art style using the FLUX architecture, with optimized parameters for generating detailed scenes. The small but focused training dataset ensures consistent style transfer while maintaining the base model's capabilities.
Q: What are the recommended use cases?
The model is ideal for creating animated-style artwork, environmental scenes, and character illustrations in the Ghibli style. It performs best with prompts that include "Ghibli Art" as a trigger word and works optimally at 1280x832 resolution.
