In today's music industry, album cover design is as crucial as the music itself, reflecting the artist's vision and brand. However, many AI-driven album cover services require subscriptions or technical expertise, limiting accessibility. To address these challenges, we developed Music2P, an open-source, multi-modal AI-driven tool that streamlines album cover creation, making it efficient, accessible, and cost-effective through Ngrok. Music2P automates the design process using techniques such as Bootstrapping Language Image Pre-training (BLIP), music-to-text conversion (LP-music-caps), image segmentation (LoRA), and album cover and QR code generation (ControlNet). This paper demonstrates the Music2P interface, details our application of these technologies, and outlines future improvements. Our ultimate goal is to provide a tool that empowers musicians and producers, especially those with limited resources or expertise, to create compelling album covers.

翻译：在当今音乐产业中，专辑封面设计与音乐本身同等重要，它体现了艺术家的愿景与品牌形象。然而，许多人工智能驱动的专辑封面服务需要订阅或具备专业技术知识，这限制了其可及性。为应对这些挑战，我们开发了Music2P，这是一个开源、多模态人工智能驱动的工具，它通过Ngrok简化专辑封面创作流程，使其高效、易用且成本低廉。Music2P利用自举语言图像预训练（BLIP）、音乐到文本转换（LP-music-caps）、图像分割（LoRA）以及专辑封面与二维码生成（ControlNet）等技术，实现了设计流程的自动化。本文展示了Music2P的交互界面，详细阐述了我们对这些技术的应用，并概述了未来的改进方向。我们的最终目标是提供一个工具，使音乐人和制作人——尤其是那些资源或专业知识有限者——能够创作出引人注目的专辑封面。