audiocraft-audio-generation

Generate music from text prompts by loading a pretrained MusicGen model via the audiocraft package and running text-to-music generation workflows. You can also apply melody conditioning and produce stereo output across Linux and macOS.

Text-to-sound generation transforms text prompts into sound effects and environmental audio. AudioGen automates this process by loading pretrained models within the audiocraft package to synthesize high-fidelity audio clips from your descriptions.

Yes, you need PyTorch and Transformers installed to use AudioCraft models. The audiocraft package requires these frameworks to load pretrained models and execute multimodal audio generation workflows on Linux and macOS.

Yes, you can use melody conditioning for text-to-music generation on macOS. AudioCraft supports cross-model workflows including stereo output and melody conditioning across both Linux and macOS environments.

Compress and decompress high-fidelity audio using EnCodec by running the provided audiocraft workflows. EnCodec orchestrates audio compression and decompression alongside MusicGen and AudioGen for multimodal audio generation pipelines.