ghibli stlye lora

Introduction

The GHIBLI-STYLE-LORA model is a text-to-image generation model that creates illustrations in a Ghibli-style anime aesthetic. It uses the LoRA (Low-Rank Adaptation) technique and is designed for generating serene, magical scenes reminiscent of Studio Ghibli films.

Architecture

The model is based on the FLUX.1-dev architecture by Black-Forest-Labs and utilizes the Diffusers library for image generation. It applies LoRA for efficient and high-quality image adaptations.

Training

Training details are not explicitly provided in the documentation. However, the model is trained to generate anime-style images with specific prompts that capture the essence of Ghibli aesthetics.

Guide: Running Locally

1. Environment Setup: Ensure you have Python and relevant libraries installed. Clone the repository from the provided link.
2. Download Model Weights: Access the Files & versions tab on the Hugging Face model page to download the weights in Safetensors format.
3. Load the Model: Use the Diffusers library to load the model and its weights.
4. Generate Images: Use the provided prompt examples or create your own to generate images.

For optimal performance, running the model on cloud GPUs such as those provided by AWS, Google Cloud, or Azure is recommended.

License

The model is distributed under the terms specified on the Hugging Face platform, where it can be accessed and utilized legally. Please refer to the model's page for specific licensing details.