Audiocraft Audio Generation
Skill Verified ActivePyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.
Generate high-quality music and sound effects from text prompts using advanced PyTorch models, suitable for creative applications and audio research.
Features
- Text-to-music generation with MusicGen
- Text-to-sound effects generation with AudioGen
- Melody-conditioned music generation
- Style-conditioned music generation
- High-fidelity neural audio codec (EnCodec)
Use Cases
- Generating music from text descriptions
- Creating sound effects and environmental audio
- Building music generation applications
- Performing melody-conditioned music generation
Non-Goals
- Speech-to-text generation
- AI-powered music editing or mixing
- Real-time interactive audio generation
Code Execution
- info:ValidationWhile core logic involves library calls, explicit validation schemas for user inputs (like prompt strings or generation parameters) are not detailed in the provided snippets; some parameters have clear constraints (duration 1-120s), others are less constrained (temperature, cfg_coef).
Installation
First, add the marketplace
/plugin marketplace add Orchestra-Research/AI-Research-SKILLs/plugin install AI-Research-SKILLs@ai-research-skillsQuality Score
VerifiedTrust Signals
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