In recent years, with the rapid development of artificial intelligence technology, the field of image generation has also made breakthrough progress. In this field, imageX is a popular AICG (Artificial Intelligence Computer Generated) application available for Apple and Android devices, similar to Midjourney and Stable diffusion. It allows users to generate images in various styles by simply inputting text. This article will introduce the latest research advances in the field of imageX. 1. Optimization of Image Generation Models In the latest research in the imageX field, scholars are continuously optimizing image generation models for improved quality and realism. By enhancing model architectures and training methods, the quality of generated images has been enhanced. Furthermore, difficulties such as blurriness and distortion in image generation have been addressed through the introduction of techniques like self-supervised learning and adversarial training. 2. Multimodal Image Generation Multimodal image generation is another important research direction in the imageX field. Researchers have successfully achieved the generation of images in multiple styles by incorporating multiple conditions in the input text. This means that users can generate images adapted to different scenarios and styles, offering them more choices and creative possibilities. 3. Image Editing and Control To provide a better user experience and flexibility, researchers in the imageX field are focused on developing image editing and control techniques. By introducing adjustable parameters during the generation process, users can customize the generated images by adjusting aspects such as tone, style, and details. This allows users to better express their creativity and meet their specific requirements. 4. Cross-Domain Image Generation Cross-domain image generation is a prominent research area in the imageX field in recent years. It involves transforming and generating images from different domains, enabling cross-domain creativity and expression. For instance, by inputting textual descriptions and artistic style images, the technology can generate images in various art styles such as cartoons, oil paintings, and sketches. This technology has broad application prospects in creative design and artistic creation. 5. Expansion of Application Domains Apart from the aforementioned research directions, the application domains of imageX technology are continuously expanding. Currently, researchers are extensively applying this technology in fields such as advertising media, game design, virtual reality, and architectural design. Through imageX technology, users can engage in more efficient and innovative image creation and design. In conclusion, the latest research advances in the imageX field include the optimization of image generation models, multimodal image generation, image editing and control, cross-domain image generation, and the expansion of application domains. These advances not only enhance the quality and effectiveness of image generation but also provide users with more possibilities for creation and expression. As technology continues to advance, it is anticipated that the field of imageX will witness further innovations and developments in the future.