pinkfloyd1213/rvc-aio repository overview

⁠RVC AIO

This Docker image is designed to facilitate the deployment and execution of the Retrieval-based Voice Conversion WebUI⁠ project. It includes all the necessary dependencies, pre-trained models, and services, including TensorBoard for monitoring.

Additionally, FileBrowser is integrated into this image to provide a file management interface, making it easier to manage datasets and files within the container.

⁠Purpose

The primary goal of this Docker image is to provide an easy-to-use environment for running the Retrieval-based Voice Conversion WebUI project, allowing users to convert voices using a web-based interface. The inclusion of TensorBoard enables users to visualize and monitor the training and conversion processes effectively, while FileBrowser simplifies file management tasks.

⁠Volumes

The Docker image is configured with the following volumes to persist data across container restarts and share data between the host and the container:

• /app/weights: This volume is used to store the model weights.
• /app/logs: This volume is used to store log files, which can be visualized using TensorBoard.
• /app/audio: This volume is used to store audio files.
• /app/dataset: This volume is available for dataset storage and management through FileBrowser.

⁠Dataset Location

Place your datasets and other files in the directories /dataset within the /app directory in the container using FileBrowser. Follow the project's documentation for organizing and using the datasets.

⁠Usage

1. Pull the Docker Image

   docker pull pinkfloyd1213/rvc-aio:latest
   

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2. Run the Docker Container

   docker run -d \
     -p 7865:7865 \
     -p 6006:6006 \
     -p 8080:8080 \ 
     -v /path/to/weights:/app/assets/weights \
     -v /path/to/logs:/app/logs \
     -v /path/to/audio:/app/audio \
     -v /path/to/dataset:/app/dataset \
     pinkfloyd1213/rvc-aio:latest
   

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   Replace /path/to/weights, /path/to/logs, /path/to/audio, and /path/to/dataset with the paths to the corresponding directories on your host machine.

3. Access the WebUI

   Open a web browser and navigate to http://localhost:7865 to access the Voice Conversion WebUI.

4. Access TensorBoard

   Open a web browser and navigate to http://localhost:6006 to access TensorBoard.

5. Access FileBrowser

   Open a web browser and navigate to http://localhost:8080 to access FileBrowser for file management. The default login is admin for the username and admin for the password.

6. Stop and Remove the Docker Container

   docker stop <container-id>
   docker rm <container-id>
   

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   Replace <container-id> with the ID of the running Docker container.

⁠Additional Information

For additional information and details on the Retrieval-based Voice Conversion project, refer to the official GitHub repository⁠.

You can build this image yourself, for that, go check the GitHub's project: GitHub repository⁠