Apple Releases MGIE, an AI Model for Instruction-Based Image Editing

Apple has released a new open-source AI model, called "MGIE," that can edit images based on natural language instructions. From a report: MGIE, which stands for MLLM-Guided Image Editing, leverages multimodal large language models (MLLMs) to interpret user commands and perform pixel-level manipulations. The model can handle various editing aspects, such as Photoshop-style modification, global photo optimization, and local editing. MGIE is the result of a collaboration between Apple and researchers from the University of California, Santa Barbara. The model was presented in a paper accepted at the International Conference on Learning Representations (ICLR) 2024, one of the top venues for AI research. The paper demonstrates the effectiveness of MGIE in improving automatic metrics and human evaluation, all while maintaining competitive inference efficiency. MGIE is based on the idea of using MLLMs, which are powerful AI models that can process both text and images, to enhance instruction-based image editing. MLLMs have shown remarkable capabilities in cross-modal understanding and visual-aware response generation, but they have not been widely applied to image editing tasks. MGIE integrates MLLMs into the image editing process in two ways: First, it uses MLLMs to derive expressive instructions from user input. These instructions are concise and clear and provide explicit guidance for the editing process. For example, given the input "make the sky more blue," MGIE can produce the instruction "increase the saturation of the sky region by 20%."

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