"LivePortraitTalker: Realistic Talking Pictures & Change Speech in Any Video | Ultimate AI Tool"
Science & Technology
Introduction
Are you interested in creating talking pictures that feature realistic facial movements? Introducing LivePortraitTalker, an innovative combination of Live Portrait and Sad Talker that allows you to generate talking pictures using just an audio file. Whether you're a content creator, an artist, or simply curious about artificial intelligence, you're bound to love the impressive results this tool can deliver.
Installation Guide
To install LivePortraitTalker on your computer, follow these detailed steps:
Access the GitHub Repository
- Click on the GitHub link provided in the video description to access the main page of LivePortraitTalker.
Download the Zip File
- Click on the code option and download the main zip file.
Extract the Files
- After downloading, extract the zip file to your desired installation directory.
Open Command Prompt
- Navigate to the extracted folder, type
CMD
in the folder path, and a new command window will open.
- Navigate to the extracted folder, type
Create a Virtual Environment
- Create a virtual environment using Python 3.10.1.
python -m venv venv
Activate the Virtual Environment
- Activate it using the activation code provided by your operating system.
Install Requirements
- Run the requirements installation code. If you encounter a NumPy error, go to the PyTorch main page, copy the correct torch installation code for CPU, and paste it into the command window to proceed with the installation.
pip install -r requirements.txt
Upgrade pip
- After installing all requirements, upgrade pip by copying and using the upgrade command.
python -m pip install --upgrade pip
Modify Configuration File
- Close the command window and navigate to the main folder. Open the config file in a text editor, change
MPS
toCPU
, and save the file.
- Close the command window and navigate to the main folder. Open the config file in a text editor, change
Download Required Models
- Go to the main page to download the Sad Talker and Live Portrait models from the provided links.
- Once downloaded, place the Sad Talker zip file into the
pre-trained model
folder (and create this folder if it doesn’t exist). - Do the same for Live Portrait: unzip it into the
pre-trained model
folder.
Prepare Directories for Input and Output
- Create three new folders in the main folder:
face
,audio
, andoutput
. - Place your images (in PNG or JPG format) in the
face
folder and your audio files (in WAV format) in theaudio
folder.
- Create three new folders in the main folder:
Run the Command
- Type
CMD
again in the folder path where your files are located, and a command window will open. - Activate the virtual environment you created earlier.
- Copy the command from the main page and paste it into a new notebook to edit it, ensuring to change the paths for the picture, audio, and result files.
- Type
Execute the Command
- Copy the modified command for execution, paste it in the command window, and hit Enter. This process may take a few minutes.
Check for Results
- Once completed, your result files will be available in the
result
folder.
- Once completed, your result files will be available in the
Thank you for reading this guide. If you have any questions or requests, feel free to comment. Don’t forget to subscribe to my YouTube channel to stay updated on more exciting content!
Keywords
- LivePortraitTalker
- Realistic Talking Pictures
- Sad Talker
- Live Portrait
- AI Tool
- Virtual Environment
- Python
- GitHub
- Installation Guide
FAQ
Q1: What is LivePortraitTalker?
A1: LivePortraitTalker is an AI tool that combines Live Portrait and Sad Talker to create talking pictures from audio files, featuring realistic facial movements.
Q2: How do I install LivePortraitTalker?
A2: To install LivePortraitTalker, download the zip file from GitHub, extract it, set up a virtual environment, install the required packages, and download necessary models.
Q3: What file formats are supported for input images and audio?
A3: LivePortraitTalker supports PNG or JPG formats for images and WAV format for audio files.
Q4: Where can I find the required models for LivePortraitTalker?
A4: The models can be downloaded from links available on the main page of LivePortraitTalker on GitHub.
Q5: What should I do if I encounter an error during installation?
A5: If you encounter an error, particularly with NumPy, ensure you install PyTorch before running the requirements command again.