# EMU Image Generator (Meta) Meta EMU Image Generator is a new AI model developed by Meta that can generate incredibly realistic and aesthetically pleasing images from text captions. It is still under development, but it has the potential to revolutionize the way we create and consume visual content. One of the key innovations behind EMU is a technique called "quality tuning." This technique involves fine-tuning the AI model on a small set of carefully curated, high-quality images. This helps to ensure that the images generated by EMU are both visually appealing and realistic. EMU is also able to depict a wide range of subjects, from portraits to landscapes to abstract art. This makes it a versatile tool for a variety of creative applications. Meta plans to integrate EMU with its existing products and services, such as WhatsApp, Instagram, and Messenger. This will make it easy for users to create and share AI-generated images with their friends and family. Here are some potential applications for Meta EMU Image Generator: * Creating custom stickers and emojis for chat apps * Generating images for social media posts and ads * Designing product illustrations and concept art * Creating visual effects for movies and video games * Producing educational materials and textbooks Meta EMU Image Generator is a powerful new tool that has the potential to change the way we interact with the world around us. It is still early days, but I am excited to see how EMU is used to create new and innovative visual content in the years to come. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://metaverse-imagen.gitbook.io/ai-tools-research/ai-tools-main-categories/images-art-and-design/image-generation/emu-image-generator-meta.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.