In this work, we aim to solve the problem of unauthorized learning of works arising from the process of collecting large amounts of data from Text to Image (TTI) AI models represented by Stable Diffusion. The TTI model performs indiscriminate web data crawling to collect a substantial number of images, and these images are used for model learning without the consent of the original author. The TTI model is capable of learning the drawing style of an image, which undermines the value of the original work. Therefore, we suggest a method of transforming images to deteriorate the learning accuracy of TTI models. Then, we compare the quality of original images to images processed by the modification method presented in this study, using both quantitative measurement and qualitative measurement. Thus, we confirm that the image modification method we propose prevents AI models from learning literary works without permission.