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create-music

AI-assisted music creation for Horus persona. Voice conversion (RVC) and music generation (MusicGen/AudioCraft). Stem separation uses create-stems skill. Local-first with GPU acceleration.

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grahama1970/agent-stack-public
Dernière activité de la source
24 septembre 2026 à 15:51
Langue détectée de SKILL.md
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SKILL.md
Instructions source · Aperçu en lecture seule
name
create-music
description
AI-assisted music creation for Horus persona. Voice conversion (RVC) and music generation (MusicGen/AudioCraft). Stem separation uses create-stems skill. Local-first with GPU acceleration.
allowed-tools
["Bash","Read","Write","Task"]
triggers
["create music","make music","generate music","voice conversion","rvc inference","musicgen","audiocraft","clone voice","singing voice"]
metadata
{"short-description":"AI music creation (RVC + MusicGen)","author":"Horus","version":"0.2.0"}
provides
["create-music"]
composes
["learn-voice","discover-music","learn-artist","task-monitor","agentic-evals"]
disciplines
["content-creation","voice-audio"]
# create-music AI-assisted music creation pipeline for Horus persona. Local-first, GPU-accelerated. ## Capabilities ### 1. Stem Separation (Mix → Parts) **Moved to `/create-stems` skill.** Use create-stems for all stem separation: ```bash # In .pi/skills/create-stems/ ./run.sh separate --mix input.wav --out work/stems ./run.sh separate --mix input.wav --out work/stems --instrument vocals ./run.sh separate --mix input.wav --out work/stems --instrument oud ``` ### 2. Voice Conversion (RVC) Convert vocals to a trained voice model: ```bash ./run.sh rvc-setup # One-time: clone repo + download pretrains ./run.sh rvc-infer \ --model-name nico-500 \ --input vocals.wav \ --output converted.wav \ --pitch 0 \ --f0method harvest ``` ### 3. Music Generation (MusicGen/AudioCraft) MusicGen runs in Docker (Python 3.11 container) to avoid dependency conflicts. ```bash # First run auto-builds the Docker image ./run.sh musicgen \ --prompt "intimate jazz trio, soft piano" \ --seconds 30 \ --out generated.wav # Or build explicitly ./run.sh musicgen-build # With fine-tuned checkpoint ./run.sh musicgen \ --checkpoint-dir /path/to/checkpoint \ --prompt "intimate jazz trio, soft piano" \ --seconds 30 \ --out generated.wav # Available models (default: facebook/musicgen-small) ./run.sh musicgen --model facebook/musicgen-medium --prompt "..." --out out.wav ``` ## Workflow ``` INPUT MIX ↓ create-stems separate (Demucs 6s / UVR) ↓ rvc-infer on vocals (optional) ↓ musicgen for new parts (optional) ↓ FINAL OUTPUT ``` ## Sanity Checks ```bash ./sanity.sh # Full sanity suite ./sanity/check_env.sh # ffmpeg + torch + imports python sanity/check_alignment.py # stems same SR + frames python sanity/check_reconstruction.py # mix ≈ sum(stems) ``` ## Hardware Requirements | Component | Minimum | Recommended | |-----------|---------|-------------| | VRAM | 8GB | 16GB+ | | RAM | 16GB | 32GB+ | | Storage | 20GB | 50GB+ | ## References - [AudioCraft/MusicGen](https://github.com/facebookresearch/audiocraft) - [Demucs](https://github.com/facebookresearch/demucs) - [RVC WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI) - [python-audio-separator](https://github.com/nomadkaraoke/python-audio-separator)
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