  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.
