#high-fidelity audio

FastDiff offers a PyTorch implementation of a quick conditional diffusion model for high-fidelity speech synthesis, with pretrained models and dataset support including LJSpeech, LibriTTS, and VCTK. It features multi-GPU support and guidance for text-to-speech synthesis using advanced methods like ProDiff and Tacotron. The project ensures ease of integration with well-documented instructions while emphasizing ethical standards for voice usage.