In everyday life, we come in contact with an ever growing amount of data, making its every related aspect a matter of concern: where to retrieve data, where to store it, and how to organize it are some notable mentions, but also only a fraction of a much longer list. Among these challenges, respecting the privacy of the individuals captured in a media deserves the right attention. In our work, we focus on the Image Anonymization task, which aims to preserve the personal information of people depicted inside photographs by modifying them. There are many techniques to achieve this goal: the main ones include covering the people's faces, sometimes even entire bodies, with blur, solid colors, generated masks, or by recreating the entire picture from scratch, but these approaches come with the issues of maintaining the meaning of the original image, not compromising the overall quality when editing identifiable details, and achieving a good level of anonymization.