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*Our method can realize **arbitrary face swapping** on images and videos with **one single trained model**.*
Currently, only the test code is available.
Training and test code are now available!
Training scripts is coming. We are doing our final inspection about the scripts!
We are working with our incoming paper SimSwap++, keeping expecting!
The high resolution version of ***SimSwap-HQ*** is supported!
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## Top News <img width=8% src="./docs/img/new.gif"/>
**`2022-4-20`**: Training scripts are now available. We highly recommend that you guys train the simswap model with our released high quality dataset [VGGFace2-HQ](https://github.com/NNNNAI/VGGFace2-HQ).
**`2021-11-24`**: We have trained a beta version of ***SimSwap-HQ*** on [VGGFace2-HQ](https://github.com/NNNNAI/VGGFace2-HQ) and open sourced the checkpoint of this model (if you think the Simswap 512 is cool, please star our [VGGFace2-HQ](https://github.com/NNNNAI/VGGFace2-HQ) repo). Please don’t forget to go to [Preparation](./docs/guidance/preparation.md) and [Inference for image or video face swapping](./docs/guidance/usage.md) to check the latest set up.
**`2021-11-23`**: The google drive link of [VGGFace2-HQ](https://github.com/NNNNAI/VGGFace2-HQ) is released.
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- moviepy
- insightface
## Usage
## Training
[Preparation](./docs/guidance/preparation.md)
Download the dataset from [VGGFace2-HQ](https://github.com/NNNNAI/VGGFace2-HQ).
- Train 256 models
```
python train.py --name simswap256_test --gpu_ids 0 --dataset /path/to/VGGFace2HQ --train_simswap True --Gdeep False
```
- Train 512 models
```
python train.py --name simswap512_test --gpu_ids 0 --dataset /path/to/VGGFace2HQ --train_simswap False --Gdeep True
```
## Inference with a pretrained SimSwap model
[Preparation](./docs/guidance/preparation.md)
[Inference for image or video face swapping](./docs/guidance/usage.md)