English
What is stable-audio-tools ?
stable-audio-tools is an open source PyTorch library designed for audio generation tasks. It provides training and inference code for a variety of generative models, including autoencoders, implicit diffusion models, MusicGen, etc. Whether you want to generate music, perform text-to-speech conversion, or implement audio style transfer and denoising, stable-audio-tools can meet your needs.
Who needs stable-audio-tools ?
Music creators: Want to generate high-quality music or explore new styles.
Voice developers: text-to-speech synthesis or voice enhancement is required.
Audio processing enthusiasts: interested in audio style migration, noise removal and other tasks.
Researchers: We hope to explore the application of generative models in the field of audio.
Example of usage scenario
1. Generate music: Use the implicit diffusion model to create unique musical works.
2. Audio denoising: Clean up noisy audio files through automatic encoder technology.
3. Speech synthesis: Use pre-trained models to convert text into natural and smooth speech.
4. Style Transfer: Apply one audio style to another to create new effects.
Product Features
Multifunctionality: Supports both conditional and non-conditional audio generation tasks.
Diversified model: includes various architectures such as automatic encoder, implicit diffusion model, etc.
Efficient training: supports multi-GPU training and accelerates model development.
Flexible customization: Provides training and inference code, allowing users to customize models and configurations.
Why choose stable-audio-tools ?
stable-audio-tools is not only powerful, but also completely open source, suitable for all kinds of users from beginners to experts. Whether you want to get started with audio generation quickly or dig into the generative model, it can provide you with powerful support.
Try stable-audio-tools now to start your audio creation journey!
