Model Training: LoRa
Project information
- Category: Model Training
This project focuses on training a LoRA model for 1966 Batman, the iconic character of the series. LoRA, or Low-Rank Adaptation, enables efficient fine-tuning of diffusion models for specific concepts, like characters, with smaller file sizes and faster training times.
I gathered a diverse dataset of Adam West Batman images, curated for quality and relevance. Captions describing pose, expression, and background were created for each image, serving as prompts for the LoRA model. Training was done on Stable Diffusion XL, optimizing settings and hyperparameters for quality.
The project aimed to explore diffusion models, refining data collection, curation, and training methods. Choosing a complex character challenged the model to achieve optimal accuracy.