Stable Audio ControlNet

A music generation model that fine-tunes using control networks.

CommonProductMusicMusic GenerationControl Networks

Stable Audio ControlNet is a music generation model based on Stable Audio Open, fine-tuned with DiT ControlNet. It can operate on GPUs with 16GB VRAM and supports audio control. Although still in development, it is capable of generating and controlling music, offering significant technical implications and application potential.

Generates and fine-tunes music using the ControlNet architecture.
Supports training and generation on GPUs of various sizes.
Allows for model training and generation using audio conditions.
Provides example code for training and inference.
Supports passing audio and other conditions through a condition dictionary.
The model is still under development
with more features and improvements to be added in the future.

The target audience includes music producers
audio engineers
and researchers interested in music generation technology. This model assists them in generating specific music segments through audio control
enhancing the efficiency and flexibility of music creation.

Generate specific styles of drum accompaniment using Stable Audio ControlNet.
Use audio control to create music that fits particular emotions or atmospheres.
In music production
generate a base music structure with the model and then refine it manually.

Firstly
ensure that the necessary dependencies are installed
including the latest version of torchaudio.
Set up environment variables and prepare datasets according to the instructions in the README.md file.
Initialize the ControlNet model following the example code

Visit

Stable Audio ControlNet Visit Over Time

Monthly Visits

515580771

Bounce Rate

37.20%

Page per Visit

5.8

Visit Duration

00:06:42

Stable Audio ControlNet Visit Trend

Stable Audio ControlNet Visit Geography

Stable Audio ControlNet Traffic Sources

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