pytoon

PyToon

Overview

PyToon is a Python-based animation library for animating characters and their mouth movements. This tool uses machine learning-based audio analysis techniques to automatically lip-sync animated character mouth movements to a given audio recording of someone talking.

Example Output Video

Features

• Automatically create cartoon animated lip-sync videos from just an audio file.
• Use a provided transcript or let PyToon automatically generate the transcript from the audio with built-in text-to-speech.
• Programmatically generate animated videos.
• OS Independent! PyToon works on Mac, Windows, and Linux.
• Optimized for both CPU and GPU.
• Fast Processing! A 60-second lip-sync animation clip takes ~39 seconds to generate.

Getting Started

• Install pytoon: pip3 install pytoon
• Install ffmpeg:
  • Mac: brew install ffmpeg
  • Linux: sudo apt install ffmpeg
  • Windows: Install from ffmpeg.org

Basic Usage

Example 1: Generating Animation from an MP3 File (with transcript)

If you have a transcript of the audio, you can directly pass it to the animate function.

from pytoon.animator import animate
from moviepy.editor import VideoFileClip

# Read audio transcript to a string.
transcript_path = "./.temp/speech.txt"
with open(transcript_path, "r") as file:
    transcript = file.read()

# Create a PyToon animation 
animation = animate(
    audio_file="speech.mp3",  # Input audio
    transcript=transcript,   # Audio transcript
)

# Overlay the animation on top of another video and save as an .mp4 file.
background_video = VideoFileClip("./path/to/background_video.mp4")
animation.export(path='video_with_transcript.mp4', background=background_video, scale=0.7)

Example 2: Example 1: Generating Animation from an MP3 File (without transcript)

If you do not have a transcript, PyToon can automatically generate one using text-to-speech.

from pytoon.animator import animate
from moviepy.editor import VideoFileClip

# Create a PyToon animation without providing a transcript
animation = animate(
    audio_file="speech.mp3"  # Input audio (transcript will be auto-generated)
)

# Overlay the animation on top of another video and save as an .mp4 file.
background_video = VideoFileClip("./path/to/background_video.mp4")
animation.export(path='video_auto_transcript.mp4', background=background_video, scale=0.7)

Acknowledgements

This project uses character images created by lazykh.