This software is meant to be a productive contribution to the rapidly growing AI-generated media industry. It will help artists with tasks such as animating a custom character or using the character as a model for clothing etc.
The developers of this software are aware of its possible unethical applications and are committed to take preventative measures against them. It has a built-in check which prevents the program from working on inappropriate media including but not limited to nudity, graphic content, sensitive material such as war footage etc. We will continue to develop this project in the positive direction while adhering to law and ethics. This project may be shut down or include watermarks on the output if requested by law.
Users of this software are expected to use this software responsibly while abiding by local laws. If the face of a real person is being used, users are required to get consent from the concerned person and clearly mention that it is a deepfake when posting content online. Developers of this software will not be responsible for actions of end-users.
### Basic: It is more likely to work on your computer but it will also be very slow. You can follow instructions for the basic install (This usually runs via **CPU**)
We highly recommend to work with a `venv` to avoid issues.
```
pip install -r requirements.txt
```
##### DONE!!! If you dont have any GPU, You should be able to run roop using `python run.py` command. Keep in mind that while running the program for first time, it will download some models which can take time depending on your network connection.
Choose a face (image with desired face) and the target image/video (image/video in which you want to replace the face) and click on `Start`. Open file explorer and navigate to the directory you select your output to be in. You will find a directory named `<video_title>` where you can see the frames being swapped in realtime. Once the processing is done, it will create the output file. That's it.
When you select an image with two faces then both faces will be replaced on webcam. Person on left will use left face and person on right will use right face from your image.
## One/Two face controls for webcam mode, video or image
You can control how a face/s is replaced on target face
1. Show both faces - When you select an image with two faces you will need to enable this option to replace both target faces on webcam, video or image. By default left face is always used.
2. Flip left/right faces - You can flip both source faces in your image. By default left face will replace left target face and right face will replace right target face. Turning on this option will flip source faces on target to right->left
3. Detect face from right - When using one face by default the target face is detected from left of webcam, video or image. Turning on this option will replace target face detected from right.
Additional command line arguments are given below. To learn out what they do, check [this guide](https://github.com/s0md3v/roop/wiki/Advanced-Options).
```
options:
-h, --help show this help message and exit
-s SOURCE_PATH, --source SOURCE_PATH select an source image
-t TARGET_PATH, --target TARGET_PATH select an target image or video
-o OUTPUT_PATH, --output OUTPUT_PATH select output file or directory
If you want the latest and greatest build, or want to see some new great features, go to our [experimental branch](https://github.com/hacksider/Deep-Live-Cam/tree/experimental) and experience what the contributors have given.
- [ffmpeg](https://ffmpeg.org/): for making video related operations easy
- [deepinsight](https://github.com/deepinsight): for their [insightface](https://github.com/deepinsight/insightface) project which provided a well-made library and models.
- [havok2-htwo](https://github.com/havok2-htwo) : for sharing the code for webcam
- [GosuDRM](https://github.com/GosuDRM/nsfw-roop) : for uncensoring roop
- Foot Note: [This is originally roop-cam, see the full history of the code here.](https://github.com/hacksider/roop-cam) Please be informed that the base author of the code is [s0md3v](https://github.com/s0md3v/roop)
