This approach builds a stable anime girl character using a pre-trained LoRa and just two base datasets. We prioritize consistency with 3 training epochs, repeated training on single images, and very low latent noise. While aiming for semi-photorealism with a regular checkpoint, the core focus is a stable character that adapts with LoRa and text prompts during generation. Fine-tuning is key, so experiment to achieve your desired results!