InspireMusic

InspireMusic is an AIGC toolkit and model framework focusing on music, song and audio generation, developed using PyTorch. It achieves high-quality music generation through audio tokenization and decoding processes, combined with autoregressive Transformer and conditional flow matching models. The toolkit supports multiple condition controls such as text prompts, music style, structure, etc. It can generate high-quality audio at 24kHz and 48kHz, and supports long audio generation. In addition, it also provides convenient fine-tuning and inference scripts to facilitate users to adjust the model according to their needs. InspireMusic is open sourced to empower ordinary users to improve sound performance in research through music creation.

该产品适合音乐创作者、音频工程师、研究人员以及任何需要通过文字生成音乐或对音乐生成模型进行研究和开发的人群。创作者可以利用其文本到音乐的功能快速生成灵感音频，研究人员可以基于其开源代码和模型进行进一步的算法优化和功能拓展。