Cantable Diffuguesion


AI model preview image
The cantable-diffuguesion model is a text-to-audio model that generates and harmonizes Bach chorales. It uses AI to analyze and synthesize the musical structure, melody, and harmony of Bach's compositions. The model can create new variations of Bach chorales by combining different musical elements in a cohesive and harmonious way.

Use cases

The cantable-diffuguesion model has several potential use cases for technical users. One possible application is in music composition, where it can help composers generate new variations of Bach chorales by providing them with AI-generated harmonizations and melodic structures. This could aid in the creation of original compositions that are musically consistent with Bach's style. Another potential use case is in music education, where the model could be used as a tool for students to study and analyze Bach's compositions. By providing synthesized audio outputs of different harmonizations and variations, the model can help students understand the underlying musical concepts and structures. Additionally, the model could be incorporated into music production software and digital audio workstations, allowing musicians to experiment with different Bach-inspired harmonies and melodies in their compositions. With further development and refinement, the cantable-diffuguesion model has the potential to be integrated into a wide range of music-related products, such as mobile apps for music creation and composition, AI-powered virtual music tutors, or even interactive installations in music museums.



Cost per run
Avg run time
Nvidia A100 (40GB) GPU

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Try it!

You can use this area to play around with demo applications that incorporate the Cantable Diffuguesion 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.

Model NameCantable Diffuguesion
Bach chorale generation and harmonization
Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkNo paper link provided


How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?

Model Rank
Creator Rank


How much does it cost to run this model? How long, on average, does it take to complete a run?

Cost per Run$0.0943
Prediction HardwareNvidia A100 (40GB) GPU
Average Completion Time41 seconds