Generate 30 seconds of high-quality audio in 3 seconds, making AI audio creation simple and efficient
from tangoflux import TangoFluxInference model = TangoFluxInference() audio = model.generate( "The pleasant sound of birds and flowing water", duration=10 )
It only takes 3-4 seconds to generate high-quality audio up to 30 seconds, leading the industry in efficiency.
44.1kHz high-fidelity stereo output ensures the best auditory experience
Provides multiple usage methods including web interface, command line, and Python API
TangoFlux is a deep learning-based audio generation tool that can convert text descriptions into high-quality audio content. It uses the latest AI technology to support the generation of various audio types, making it a powerful tool for creators.
Support for generating corresponding audio content from text descriptions
Can generate audio clips ranging from 1 to 30 seconds
Supports batch audio generation, improving work efficiency
Using an optimized inference engine to ensure rapid generation
Supports mainstream platforms such as Windows, Linux, MacOS
Provide Python API and command line interface
Run tangoflux-demo Launch Screen
tangoflux-demo
Enter sound description text
Set the desired audio duration (1-30 seconds)
Click the generate button to get audio
from tangoflux import TangoFluxInference model = TangoFluxInference( name='declare-lab/TangoFlux' ) audio = model.generate( 'Descriptive text', steps=50, duration=10 )
Through the Python API, you can easily integrate it into your own projects
Suitable for generating various environmental sounds, sound effects, and natural sounds, especially adept at handling scene sound effects, ambient music, and environmental sound generation.
Under standard configuration, it only takes about 3.7 seconds to generate 30 seconds of audio, making it one of the fastest AI audio generation tools on the market.