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Stable Audio Tools - Generative Models for Conditional Audio
Stable Audio Tools provides a robust framework and models for generating high-quality audio conditioned on text prompts, rhythm, and other parameters. Explore creative sound design and music generation with state-of-the-art diffusion models.
Python
Added on 2025年5月20日3,218
Stars329
ForksPython
LanguageProject Introduction
Summary
This project is Stability AI's open-source library for training and inferencing conditional audio generation models, built upon the foundation of diffusion models adapted for the audio domain. It enables users to generate diverse audio content programmatically.
Problem Solved
Generating specific audio content programmatically with fine-grained control is challenging and often requires complex synthesis techniques or large audio libraries. This project addresses this by allowing generation based on high-level descriptions (text) or structural elements (rhythm), simplifying the creative process.
Core Features
Text-to-Audio Generation
Generate audio directly from descriptive text prompts.
Conditional Control
Influence generation using rhythmic patterns, duration, and other parameters.
Training Framework
Tools and scripts are provided for training custom audio generation models on your own datasets.
Tech Stack
Python
PyTorch
Accelerate
Torchaudio
Transformers
使用场景
Stable Audio Tools can be applied in various domains requiring programmatic or creative audio generation:
Music Production
Details
Generate unique loops, soundscapes, or instrumental passages based on textual descriptions or rhythmic inputs.
User Value
Accelerates musical idea generation and provides new creative avenues.
Game Development
Details
Create dynamic ambient sounds, sound effects, or background music tailored to in-game events or environments.
User Value
Reduces reliance on stock audio libraries and allows for highly customized game audio.
Content Creation
Details
Generate custom background audio, voiceovers (if applicable models are used/trained), or sound effects for videos, podcasts, or presentations.
User Value
Enhances content quality with unique, rights-free audio assets.
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