I Built a Local AI Music Studio

说明与用途

Miso 是一个本地 AI 音乐工作室，将多种音乐模型和后处理工具整合到一个网页界面中，简化生成、编辑和可复现性。

问题

Users want an interface to experiment with local music models and manage post‑generation tasks like editing, stem separation, voice conversion, and MIDI transcription without juggling command‑line tools.

结果

Miso enables local, GPU‑accelerated music generation and post‑processing workflows, reducing the need for multiple tools and improving reproducibility.

工作流

• 1. User selects a model and inputs a prompt via the guided builder. 2. Miso sends the request to the audio.cpp backend. 3. Generated audio is stored as a take with metadata. 4. User can repaint sections, split stems, or apply voice conversion. 5. Stems can be mixed, exported, or used as input for other models. 6. Audio can be transcribed to MIDI, converted to an ABC score, and fed to YuE2 for new arrangements. 7. All actions are recorded in the project history for reproducibility.

证据

Miso is a self-hosted local music generation and remix studio built on top of audio.cpp.

来源

The whole thing runs as two Docker containers. One runs Miso itself. The other runs audio.cpp and owns the GPU models.

来源

Miso can also split a track into stems. Once the stems exist, they get their own mixer.

来源

The current release, 1.4.0, connects MIDI transcription to YuE2's score support.

来源