Carefully now! You might accidentally download the main version installer!
But seriously, take a moment to read through the following information before proceeding with the download.
- If you have any questions about the application or want to stay updated on news and updates, join Telegram channel.
- To utilize the GPU version on Nvidia card, CUDA 11.8 must be installed. The GPU version offers significantly faster processing speeds compared to the CPU version.
- If you have AMD card, you can try run CUDA by using ZLUDA.
Automatic Dependency Installation
For Windows users, all dependencies, including the ffmpeg library, will be automatically installed. However, if you prefer a manual installation, you can download ffmpeg from the official website and add the installation path to the environment variable:
Installer
Download the installer wunjo_{version}.msi or portable version archive.
Sample Files
In order to test that the models have been successfully downloaded, you can use the example files on GitHub.
Important Notices
- When launching neural synthesis for the first time, the necessary models will be downloaded. If prompted by your firewall, ensure you allow the application to connect to the network. Alternatively, you can manually install all models as outlined in our documentation on GitHub Wiki.
- Watch tutorials for installing the application on Windows or how you can use API.
- If you encounter issues with working some modules, it's possible that the models lack read permissions. Navigate to the `.wunjo` directory, open the console, and enter the following command:
Additional Tips
- Verify your Visual Studio installation on your computer.
- Clear cache and output files in: `%USERPROFILE%/.wunjo`
- If you encounter issues with Kaspersky, refer to briefcase issue 1530 for more details. Alternatively, consider installing the application on a virtual machine or performing briefcase development without creating a briefcase build. Access the project code on GitHub.
And you may be interested in information about the minimum requirements for comfortable work on a device.
Carefully now! You might accidentally download the main version installer!
But seriously, take a moment to read through the following information before proceeding with the download.
- If you have any questions about the application or want to stay updated on news and updates, join Telegram channel.
- To utilize the GPU version on Nvidia card, CUDA 11.8 must be installed. The GPU version offers significantly faster processing speeds compared to the CPU version.
- If you have AMD card, you can try run CUDA by using ZLUDA.
Automatic Models Installation
You need to install ffmpeg:
Installer
Download the installer and install by sudo dpkg -i wunjo_{vesrion}.deb.
If the icon of the software is not displayed in the application menu, you can try fixing it by sudo chown -R user:user /usr/share/icons/, where user is your user name.
Sample Files
In order to test that the models have been successfully downloaded, you can use the example files on GitHub.
Important Notices
- When launching neural synthesis for the first time, the necessary models will be downloaded. Alternatively, you can manually install all models as outlined in our documentation on GitHub Wiki.
- Watch tutorials for installing the application on Windows or how you can use API.
Additional Tips
- Uninstalling an application by sudo dpkg -r wunjo.
- Clear cache and output files by rm -rf ~/.wunjo.
And you may be interested in information about the minimum requirements for comfortable work on a device.
Carefully now! You might accidentally get the open-source version installer!
But seriously, take a moment to read through the following information before proceeding with the download.
- If you have any questions about the application or want to stay updated on news and updates, join Telegram channel.
- To utilize the GPU version on Nvidia card, CUDA 11.8 must be installed. The GPU version offers significantly faster processing speeds compared to the CPU version.
- If you have AMD card, you can try run CUDA by using ZLUDA.
Automatic Dependency Installation
For Windows users, all dependencies, including the ffmpeg library, will be automatically installed. However, if you prefer a manual installation, you can download ffmpeg from the official website and add the installation path to the environment variable:
Installer
Download the installer wunjo_{version}.msi or portable version archive.
Sample Files
In order to test that the models have been successfully downloaded, you can use the example files on GitHub.
Important Notices
- When launching neural synthesis for the first time, the necessary models will be downloaded. If prompted by your firewall, ensure you allow the application to connect to the network. Alternatively, you can manually install all models as outlined in our documentation on GitHub Wiki.
- Watch tutorials for installing the application on Windows or how you can use API.
- If you encounter issues with working some modules, it's possible that the models lack read permissions. Navigate to the `.wunjo` directory, open the console, and enter the following command:
Additional Tips
- Verify your Visual Studio installation on your computer.
- Clear cache and output files in: `%USERPROFILE%/.wunjo`
- If you encounter issues with Kaspersky, refer to briefcase issue 1530 for more details. Alternatively, consider installing the application on a virtual machine or performing briefcase development without creating a briefcase build. Access the project code on GitHub.
And you may be interested in information about the minimum requirements for comfortable work on a device.
Professional release
Nvidia graphic card and CUDA 11.8+
Total VRAM 8 Gb
Available RAM 16 Gb
Hard disk space 30 Gb
Community edition release
Available RAM 12 Gb
Hard disk space 30 Gb
The version is non-commercial, open source under the MIT license. However, please review the Acceptable Use Policy.
You can find the installer open-source version and update news on the Boosty. For more information, please visit FAQ and GitHub Wiki pages.
Carefully now! You might accidentally get the open-source version installer!
But seriously, take a moment to read through the following information before proceeding with the download.
- If you have any questions about the application or want to stay updated on news and updates, join Telegram channel.
- To utilize the GPU version on Nvidia card, CUDA 11.8 must be installed. The GPU version offers significantly faster processing speeds compared to the CPU version.
- If you have AMD card, you can try run CUDA by using ZLUDA.
Automatic Models Installation
You need to install ffmpeg:
Installer
Download the installer and install by sudo dpkg -i wunjo_{vesrion}.deb.
If the icon of the software is not displayed in the application menu, you can try fixing it by sudo chown -R user:user /usr/share/icons/, where user is your user name.
Sample Files
In order to test that the models have been successfully downloaded, you can use the example files on GitHub.
Important Notices
- When launching neural synthesis for the first time, the necessary models will be downloaded. Alternatively, you can manually install all models as outlined in our documentation on GitHub Wiki.
- Watch tutorials for installing the application on Windows or how you can use API.
Additional Tips
- Uninstalling an application by sudo dpkg -r wunjo.
- Clear cache and output files by rm -rf ~/.wunjo.
And you may be interested in information about the minimum requirements for comfortable work on a device.
Professional release
Nvidia graphic card and CUDA 11.8+
Total VRAM 8 Gb
Available RAM 16 Gb
Hard disk space 30 Gb
Community edition release
Available RAM 12 Gb
Hard disk space 30 Gb
The version is non-commercial, open source under the MIT license. However, please review the Acceptable Use Policy.
You can find the installer open-source version and update news on the Boosty. For more information, please visit FAQ and GitHub Wiki pages.