Efficient text-to-audio generation model
TangoFlux is an efficient text-to-audio (TTA) generation model with 515M parameters, capable of generating up to 30 seconds of 44.1kHz audio in only 3.7 seconds on a single A40 GPU. This model solves the challenge of TTA model alignment by proposing the CLAP-Ranked Preference Optimization (CRPO) framework, which enhances TTA alignment by iteratively generating and optimizing preference data. TangoFlux achieves state-of-the-art performance on both objective and subjective benchmarks, and all code and models are open source to support further research on TTA generation.
The target audience is audio content creators, audio engineers and researchers. TangoFlux is suitable for them because of its ability to quickly generate high-quality audio content, while its open source nature allows them to freely access and modify the code to suit specific needs or conduct further research.
- Audio content creators use TangoFlux to generate background music and sound effects.
- Audio engineers use TangoFlux to optimize and improve audio quality.
- Researchers used TangoFlux to conduct a comparative performance study of audio generation models.
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