In recent years, with the rapid development of artificial intelligence technology, the field of image processing and generation has also made breakthrough progress. Among them, ImageX, as an AICG application available on both Apple and Android devices, allows users to generate images from text inputs using artificial intelligence algorithms, offering various styles of image generation effects. ImageX, with its unique self-supervised learning technology, has achieved unsupervised adaptation in image generation, providing users with a whole new experience. Self-supervised learning is an unsupervised learning method that automatically generates labels by treating the input data as supervisory signals, avoiding the bottleneck of manual data annotation. Leveraging the concept of self-supervised learning, ImageX utilizes a large amount of image data and corresponding text descriptions for training. By learning the inherent structures and features of the data, ImageX achieves unsupervised image generation. Using the self-supervised learning technique, the ImageX application analyzes and processes user-inputted text to generate images that match the textual descriptions. ImageX can generate images in different styles based on various input texts, catering to users' needs for different scenarios and styles, from landscapes to personalized avatars, cartoon drawings to watercolor styles. Through self-supervised learning, ImageX achieves highly adaptive and personalized image generation. The self-supervised learning technology behind ImageX involves a rich array of AI algorithms and models, continuously trained and optimized to improve the accuracy and diversity of image generation. By leveraging deep learning methods, ImageX extracts semantic and structural features from extensive image datasets, generating high-quality images that correspond to the given textual descriptions. In addition to unsupervised learning, ImageX incorporates adaptive learning techniques to provide image generation that aligns with users' personalized preferences. By learning user behaviors and preferences, ImageX can adjust the image generation algorithm and models according to different users, delivering more tailored and personalized image generation effects. In summary, ImageX is an image generation application that utilizes self-supervised learning. With unsupervised learning, it achieves highly adaptive and personalized image generation. By learning from extensive image datasets and applying deep learning methods, ImageX extracts semantic and structural features, resulting in high-quality images that align with the textual descriptions. Furthermore, ImageX incorporates adaptive learning to cater to users' individual preferences. As artificial intelligence continues to advance, ImageX will further improve and innovate, providing users with an exceptional image generation experience.