Text-based image generation technology has garnered significant attention, allowing models to create realistic images based on textual descriptions. Researchers introduced the Orthogonal Fine-Tuning (OFT) method, greatly enhancing control over image generation models. OFT preserves the model's semantic generation capabilities while improving the quality and efficiency of the generated images. The OFT method has wide-ranging applications in fields such as artistic creation and advertising, offering new creative possibilities.