https://github.com/bes-dev/random_face

A simple python library for fast image generation of people who do not exist.
https://github.com/bes-dev/random_face

Last synced: 11 months ago
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A simple python library for fast image generation of people who do not exist.

• Host: GitHub
• URL: https://github.com/bes-dev/random_face
• Owner: bes-dev
• License: apache-2.0
• Created: 2021-04-09T13:13:58.000Z (about 5 years ago)
• Default Branch: develop
• Last Pushed: 2024-12-17T14:23:24.000Z (over 1 year ago)
• Last Synced: 2025-05-23T13:22:54.668Z (about 1 year ago)
• Language: Python
• Homepage: https://pypi.org/project/random-face/
• Size: 1.56 MB
• Stars: 182
• Watchers: 4
• Forks: 19
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Random Face

A simple python library for fast image generation of people who do not exist.



  



[![Downloads](https://pepy.tech/badge/random-face)](https://pepy.tech/project/random-face)

[![Downloads](https://pepy.tech/badge/random-face/month)](https://pepy.tech/project/random-face)

[![Downloads](https://pepy.tech/badge/random-face/week)](https://pepy.tech/project/random-face)

For more details, please refer to the [paper](https://arxiv.org/abs/2104.04767).

## Requirements

* Linux, Windows, MacOS

* Python 3.8.+

* CPU compatible with OpenVINO.

## Install package

```bash

pip install random_face

```

## Install the latest version

```bash

git clone https://github.com/bes-dev/random_face.git

cd random_face

pip install -r requirements.txt

python download_model.py

pip install .

```

## Demo

```bash

python -m random_face.demo

```

## Example

```python

import cv2

import random_face

engine = random_face.get_engine()

face = engine.get_random_face()

cv2.imshow("face", face)

cv2.waitKey()

```

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ZackPashkin/random_face/blob/master/Generate_faces.ipynb)

[![Open In Gradio](https://raw.githubusercontent.com/gradio-app/gradio/master/gradio/static/img/logo_inline.png)](https://gradio.app/hub/AK391/MobileStyleGAN.pytorch)

## Citation

```

@misc{belousov2021mobilestylegan,

      title={MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image Synthesis},

      author={Sergei Belousov},

      year={2021},

      eprint={2104.04767},

      archivePrefix={arXiv},

      primaryClass={cs.CV}

}

```