marcelo/Simple-Face-Image-Motion-Model
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A simple, 'no-BS' tool for creating 'deepfake' style videos from a single photo using the First Order Model.
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  • Python 99.6%
  • Batchfile 0.4%
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Filename Latest commit message Latest commit date
Tom Bayne 4c9f93d5dc
 Update README.md
2020-12-01 00:16:47 +00:00
ffhq_dataset Update CREDITS.md 2020-11-30 22:42:11 +00:00
FaceMotionModel.py Fixed chdir for non-windows users. 2020-11-30 23:31:09 +00:00
install_dependencies.bat Added initial files. 2020-11-30 22:19:14 +00:00
LICENSE Initial commit 2020-11-30 22:16:50 +00:00
README.md Update README.md 2020-12-01 00:16:47 +00:00
requirements.txt Added initial files. 2020-11-30 22:19:14 +00:00
run_windows.bat Added initial files. 2020-11-30 22:19:14 +00:00

README.md

Simplified Face Image Motion Model

One Click Face Image Motion Model

Thanks to the following repositories and users for providing the base model for this script.

https://github.com/AliaksandrSiarohin/first-order-model
https://github.com/tg-bomze/Face-Image-Motion-Model

Explanation.

I designed this tool to make the use of 'first-order-model' as simple as possible for the end user. This script will work without any configuration required from the user. The tool was designed with the following features in mind:

  • The tool should work across as many platforms as possible without modification.
  • Minimal configuration or setup should be required from the user.
  • The tool should be able to generate complete results in a single click.
  • The tool should run purely in Python, and not require Jupyter/IPython notebooks.

Requirements

  • Git
  • Any recent version of Python 3. The code has been tested on 3.8.6 only.
  • Pip requirements found in requirements.txt - These can either be installed using the included .bat file on Windows, or manually using the command 'pip3 install -r requirements.txt'
  • For increased performance, you can install CUDA 10.1 to utilise any available nVidia GPU, however any modern CPU should be fast enough.
  • 16GB RAM and a fast CPU (and GPU if using CUDA) is recommended.
  • It is strongly advised to put your own ffmpeg.exe file into the root folder, otherwise a copy I have uploaded to GoFile.io will be downloaded instead.

How to use

  • Ensure requirements are fulfilled.
  • Add a jpg/png file named 'face.png' or 'face.jpg' into the root folder. This will be used as the primary image for the output.
  • Add a MP4 video file named 'driving.mp4' into the root folder. This will be used to determine animations and motion to be applied to the image.
  • Run FaceMotionModel.py, or run 'run_windows.bat' if using Windows.
  • Output can be found in ./results