claude-music-lora — LoRA Fine-Tuning

Overview

Train custom LoRA adapters to capture specific vocal styles, genres, instrument sounds, or production aesthetics. Requires 3-10 songs as training data.

Dataset Preparation

1. Collect 3-10 songs in the target style (WAV/FLAC preferred, MP3 OK)
2. Place in a directory: ~/Music/lora-datasets/<style_name>/
3. Songs should be 30-300 seconds each
4. Consistent style/genre across the dataset
5. High audio quality (no noise, no clipping)

Training

cd "$(python3 -c "import json; print(json.load(open('$HOME/.claude/skills/claude-music/config.json'))['ace_step_dir'])")"