InspireMusic is an AIGC toolkit and model framework focused on music, songs, and audio generation, developed using PyTorch. It achieves high-quality music generation through audio tokenization and decoding processes, combining autoregressive transformers and conditional flow matching models. This toolkit supports multiple conditional controls such as text prompts, music styles, and structures, enabling the generation of high-quality audio at both 24kHz and 48kHz, as well as supporting long audio generation. Additionally, it offers convenient fine-tuning and inference scripts for users to adjust the model according to their needs. The open-source nature of InspireMusic aims to empower everyday users to enhance sound effects in their research through music creation.