Wunjo AI：用创新科技文本合成语音，打造震撼深度deepfake动画视频！

python -m venv venv
source venv/bin/activate

pip install -r requirements.txt

cd portable

briefcase dev

briefcase build

briefcase run

briefcase package

// Requirement to create animation is ffmpeg
sudo apt install ffmpeg

// Install app
sudo dpkg -i wunjo_{vesrion}.deb

// Attention! The first time you run video synthesis, models will be downloaded in .wunja/talker/checkpoints and .wunja/talker/gfpgan in size 5GB. This may take a long time.

// Remove app
sudo dpkg -r wunjo

// Remove cache
rm -rf ~/.wunjo

// Requirement to create animation is ffmpeg
brew install ffmpeg 

// Unzip app
unzip wunjo_macos_{vesrion}.zip

// Attention! The first time you run video synthesis, models will be downloaded in .wunja/talker/checkpoints and .wunja/talker/gfpgan in size 5GB. This may take a long time.

// Remove cache
rm -rf ~/.wunjo

// Requirement to create animation is ffmpeg, Install ffmpeg and add to Path env
setx PATH "%PATH%;C:\path\to\ffmpeg\bin"

// Install app
wunjo_{vesrion}.msi

// Important! How to set up deepfake for Windows. You need to give permission to read the neural network models in the gfpgan folder after the models are installed! Without this setting, the result of deepfake generation will be "Face not found".

icacls "%USERPROFILE%/.wunjo/deepfake/gfpgan/weights/*.pth" /grant:r "Users":(R,W)

// Attention! The first time you run video synthesis, models will be downloaded in .wunja/talker/checkpoints and .wunja/talker/gfpgan in size 5GB. This may take a long time.

//Remove cache
%USERPROFILE%/.wunjo