heartmulalisted

# HeartMuLa - Open-Source Music Generation ## Overview HeartMuLa is a family of open-source music foundation models (Apache-2.0) that generates music conditioned on lyrics and tags, with multilingual support. Generates full songs from lyrics + tags. Comparable to Suno for open-source. Includes: - **HeartMuLa** - Music language model (3B/7B) for generation from lyrics + tags - **HeartCodec** - 12.5Hz music codec for high-fidelity audio reconstruction - **HeartTranscriptor** - Whisper-based lyrics transcription - **HeartCLAP** - Audio-text alignment model ## When to Use - User wants to generate music/songs from text descriptions - User wants an open-source Suno alternative - User wants local/offline music generation - User asks about HeartMuLa, heartlib, or AI music generation ## Hardware Requirements - **Minimum**: 8GB VRAM with `--lazy_load true` (loads/unloads models sequentially) - **Recommended**: 16GB+ VRAM for comfortable single-GPU usage - **Multi-GPU**: Use `--mula_device cuda:0 --codec_device cuda:1` to split across GPUs - 3B model with lazy_load peaks at ~6.2GB VRAM ## Installation Steps ### 1. Clone Repository ```bash cd ~/ # or desired directory git clone https://github.com/HeartMuLa/heartlib.git cd heartlib ``` ### 2. Create Virtual Environment (Python 3.10 required) ```bash uv venv --python 3.10 .venv . .venv/bin/activate uv pip install -e . ``` ### 3. Fix Dependency Compatibility Issues **IMPORTANT**: As of Feb 2026, the pinned dependencies have conflic