audiocraft-audio-generationlisted

# AudioCraft: Audio Generation Comprehensive guide to using Meta's AudioCraft for text-to-music and text-to-audio generation with MusicGen, AudioGen, and EnCodec. ## When to use AudioCraft **Use AudioCraft when:** - Need to generate music from text descriptions - Creating sound effects and environmental audio - Building music generation applications - Need melody-conditioned music generation - Want stereo audio output - Require controllable music generation with style transfer **Key features:** - **MusicGen**: Text-to-music generation with melody conditioning - **AudioGen**: Text-to-sound effects generation - **EnCodec**: High-fidelity neural audio codec - **Multiple model sizes**: Small (300M) to Large (3.3B) - **Stereo support**: Full stereo audio generation - **Style conditioning**: MusicGen-Style for reference-based generation **Use alternatives instead:** - **Stable Audio**: For longer commercial music generation - **Bark**: For text-to-speech with music/sound effects - **Riffusion**: For spectogram-based music generation - **OpenAI Jukebox**: For raw audio generation with lyrics ## Quick start ### Installation ```bash # From PyPI pip install audiocraft # From GitHub (latest) pip install git+https://github.com/facebookresearch/audiocraft.git # Or use HuggingFace Transformers pip install transformers torch torchaudio ``` ### Basic text-to-music (AudioCraft) ```python import torchaudio from audiocraft.models import MusicGen # Load model model = MusicGen.get_pr