The Tango model has a wide range of potential use cases in various technical applications. One possible use case is in developing text-to-speech systems that can accurately convert large volumes of written text into natural and coherent audio output. This could be useful for creating audiobooks, podcasts, or other forms of audio content from written materials. The instruction-guided diffusion technique allows for more customization and control over the audio output, which could be beneficial for applications such as virtual assistants or voice-guided navigation systems. For example, a virtual assistant could use the Tango model to generate natural-sounding responses to user queries or instructions. Additionally, the model could be utilized in the development of language learning tools that provide spoken translations or pronunciation guidance. Overall, the Tango model offers a powerful and versatile tool for converting text into high-quality audio, with potential applications in a variety of products and services.
- Cost per run
- Avg run time
- Nvidia A100 (40GB) GPU
You can use this area to play around with demo applications that incorporate the Tango model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.
Currently, there are no demos available for this model.
Summary of this model and related resources.
Text to Audio using iNstruction-Guided diffusiOn
|Model Link||View on Replicate|
|API Spec||View on Replicate|
|Github Link||View on Github|
|Paper Link||View on Arxiv|
How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?
How much does it cost to run this model? How long, on average, does it take to complete a run?
|Cost per Run||$0.2047|
|Prediction Hardware||Nvidia A100 (40GB) GPU|
|Average Completion Time||89 seconds|