Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/xudong963/openheygen

HeyGen's open source solution
https://github.com/xudong963/openheygen

ai heygen video-processing

Last synced: about 5 hours ago
JSON representation

HeyGen's open source solution

Awesome Lists containing this project

README

        

# HeyGen's open source solution

## Thanks for [coqui](https://github.com/coqui-ai/TTS) and [video-retalking](https://github.com/OpenTalker/video-retalking)

### Usage

Put your original face video and audio file into `source` folder.

Run `openheygen.py` to generate the cloned audio for you input text.

```shell
pip install -r requirements.txt

python3 openheygen.py --text "Input your text here" --language "zh-cn"

--text: The text you want to generate.
--language: The language of the text. Currently support Arabic: ar, Brazilian Portuguese: pt , Chinese: zh-cn, Czech: cs, Dutch: nl, English: en, French: fr, German: de, Italian: it, Polish: pl, Russian: ru, Spanish: es, Turkish: tr, Japanese: ja, Korean: ko, Hungarian: hu.
--speaker_wav: The speaker wav file you want to use. Default is `source/test.wav`.
--output_path: The output path of the generated audio. Default is `result/output.wav`.
```

After the audio is generated, go to `video-retalking` folder and run `video-retalking.py` to generate the final video.

### Environment Setup

```shell
conda create -n openheygen python=3.8

conda activate openheygen

conda install ffmpeg

pip install -r requirements.txt

mkdir ./checkpoints
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/30_net_gen.pth -O ./checkpoints/30_net_gen.pth
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/BFM.zip -O ./checkpoints/BFM.zip
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/DNet.pt -O ./checkpoints/DNet.pt
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/ENet.pth -O ./checkpoints/ENet.pth
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/expression.mat -O ./checkpoints/expression.mat
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/face3d_pretrain_epoch_20.pth -O ./checkpoints/face3d_pretrain_epoch_20.pth
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/GFPGANv1.3.pth -O ./checkpoints/GFPGANv1.3.pth
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/GPEN-BFR-512.pth -O ./checkpoints/GPEN-BFR-512.pth
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/LNet.pth -O ./checkpoints/LNet.pth
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/ParseNet-latest.pth -O ./checkpoints/ParseNet-latest.pth
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/RetinaFace-R50.pth -O ./checkpoints/RetinaFace-R50.pth
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/shape_predictor_68_face_landmarks.dat -O ./checkpoints/shape_predictor_68_face_landmarks.dat
unzip -d ./checkpoints/BFM ./checkpoints/BFM.zip
```

```shell
python3 inference.py \
--face ../source/test.mp4 \
--audio ../result/output.wav \
--outfile ../result/output.mp4

--face: The face video you want to use.
--audio: The audio you want to use which is generated by `openheygen.py`.
--outfile: The output path of the generated video.
```