I Built a Local AI Music Studio

说明与用途

Miso 通过统一的 Web 界面简化本地音乐 AI 模型的实验，支持生成、编辑、分离声轨和转录。

问题

Users want an easy way to experiment with local music generation models and edit the results without juggling command‑line tools or multiple files.

结果

Miso enables rapid, repeatable experimentation with multiple local music AI models, providing a unified workflow for generation, editing, stem separation, transcription, and remixing, all within a local Docker environment.

工作流

• 1. Create a project and import a source audio file or generate a new take via a prompt.
• 2. Use the guided builder to set style, BPM, key, and other parameters for the chosen model.
• 3. Generate or repaint sections of a track using ACE‑Step or other models.
• 4. Split the track into stems (vocals, drums, bass, etc.).
• 5. Transcribe a stem to MIDI and convert to an ABC score with YuE2.
• 6. Edit the score or apply voice conversion, then remix and export the final take.
• 7. Save the project to preserve the lineage of prompts, takes, and edits.

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.

来源