Deep-Live-Cam

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real time face swap and one-click video deepfake with only a single image

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Real-time face swap and video deepfake with a single click and only a single image.

##  Disclaimer

This deepfake software is designed to be a productive tool for the AI-generated media industry. It can assist artists in animating custom characters, creating engaging content, and even using models for clothing design.

We are aware of the potential for unethical applications and are committed to preventative measures. A built-in check prevents the program from processing inappropriate media (nudity, graphic content, sensitive material like war footage, etc.). We will continue to develop this project responsibly, adhering to the law and ethics. We may shut down the project or add watermarks if legally required.

- Ethical Use: Users are expected to use this software responsibly and legally. If using a real person's face, obtain their consent and clearly label any output as a deepfake when sharing online.

- Content Restrictions: The software includes built-in checks to prevent processing inappropriate media, such as nudity, graphic content, or sensitive material.

- Legal Compliance: We adhere to all relevant laws and ethical guidelines. If legally required, we may shut down the project or add watermarks to the output.

- User Responsibility: We are not responsible for end-user actions. Users must ensure their use of the software aligns with ethical standards and legal requirements.

By using this software, you agree to these terms and commit to using it in a manner that respects the rights and dignity of others.

Users are expected to use this software responsibly and legally. If using a real person's face, obtain their consent and clearly label any output as a deepfake when sharing online. We are not responsible for end-user actions.

## Pre-built Quickstart

Windows • Mac Silicon • CPU • NVIDIA • AMD

Builds optimized for your hardware.

> **Ultimate** includes **30+ exclusive features**, performance optimizations, and **priority support**.

Perfect if you want the fastest setup with **zero manual installation**, pre-configured dependencies, and optimized builds for every supported platform.

## TLDR; Live Deepfake in just 3 Clicks
![easysteps](https://github.com/user-attachments/assets/af825228-852c-411b-b787-ffd9aac72fc6)
1. Select a face
2. Select which camera to use
3. Press live!

## Features & Uses - Everything is in real-time

### Mouth Mask

**Retain your original mouth for accurate movement using Mouth Mask**

### Face Mapping

**Use different faces on multiple subjects simultaneously**

### Your Movie, Your Face

**Watch movies with any face in real-time**

### Live Show

**Run Live shows and performances**

### Memes

**Create Your Most Viral Meme Yet**

<img src="media/meme.gif" alt="show" width="450"> 
 
 Created using Many Faces feature in Deep-Live-Cam

### Omegle

**Surprise people on Omegle**

## Installation (Manual)

**Please be aware that the installation requires technical skills and is not for beginners. Consider downloading the quickstart version.**

<details>
<summary>Click to see the process</summary>

### Installation

This is more likely to work on your computer but will be slower as it utilizes the CPU.

**1. Set up Your Platform**

-   Python (3.14 recommended; 3.11-3.14 supported)
-   pip
-   git
-   [ffmpeg](https://www.youtube.com/watch?v=OlNWCpFdVMA) - ```iex (irm ffmpeg.tc.ht)```
-   [Visual Studio 2022 Runtimes (Windows)](https://visualstudio.microsoft.com/visual-cpp-build-tools/)

**2. Clone the Repository**

```bash
git clone --depth 1 https://github.com/hacksider/Deep-Live-Cam.git
cd Deep-Live-Cam
```

**3. Download the Models**

1. [GFPGANv1.4](https://huggingface.co/hacksider/deep-live-cam/resolve/main/GFPGANv1.4.onnx)
2. [inswapper\_128\_fp16.onnx](https://huggingface.co/hacksider/deep-live-cam/resolve/main/inswapper_128_fp16.onnx)

Place these files in the "**models**" folder.

**4. Install Dependencies**

We highly recommend using a `venv` to avoid issues.

For Windows:
```bash
python -m venv venv
venv\Scripts\activate
pip install -r requirements.txt
```
For Linux:
```bash
# Ensure you use the installed Python 3.14
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
```

**For macOS:**

Apple Silicon (M1 through M5) requires specific setup:

```bash
# Install Python 3.14
brew install python@3.14

# Install tkinter package (required for the GUI)
brew install python-tk@3.14

# Create and activate virtual environment with Python 3.14
python3.14 -m venv venv
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt
```

** In case something goes wrong and you need to reinstall the virtual environment **

```bash
# Deactivate the virtual environment
rm -rf venv

# Reinstall the virtual environment
python -m venv venv
source venv/bin/activate

# install the dependencies again
pip install -r requirements.txt

# gfpgan and basicsrs issue fix
pip install git+https://github.com/xinntao/BasicSR.git@master
pip uninstall gfpgan -y
pip install git+https://github.com/TencentARC/GFPGAN.git@master
```

**Run:** If you don't have a GPU, you can run Deep-Live-Cam using `python run.py`. Note that initial execution will download models (~300MB).

### GPU Acceleration

**CUDA Execution Provider (Nvidia)**

1. Install [CUDA Toolkit 12.8.0](https://developer.nvidia.com/cuda-12-8-0-download-archive)
2. Install [cuDNN v8.9.7 for CUDA 12.x](https://developer.nvidia.com/rdp/cudnn-archive) (required for onnxruntime-gpu):
   - Download cuDNN v8.9.7 for CUDA 12.x
   - Make sure the cuDNN bin directory is in your system PATH
3. Install dependencies:

```bash
pip install -U torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128
pip uninstall onnxruntime onnxruntime-gpu
pip install onnxruntime-gpu==1.21.0
```

3. Usage:

```bash
python run.py --execution-provider cuda
```

**CoreML Execution Provider (Apple Silicon)**

Apple Silicon (M1 through M5) specific installation:

1. Make sure you've completed the macOS setup above using Python 3.14.
2. No extra install step is needed — `requirements.txt` pulls the official
   `onnxruntime` build, whose macOS wheels ship the CoreML execution provider.
   If you previously installed the unmaintained `onnxruntime-silicon` fork,
   remove it first, as it shadows the real package:

```bash
pip uninstall onnxruntime-silicon
pip install -r requirements.txt
```

3. Usage:

```bash
python3.14 run.py --execution-provider coreml
```

**Important Notes for macOS:**
- Python 3.11 is the minimum (onnxruntime dropped 3.10); 3.14 is recommended
- Always run with `python3.14` command not just `python` if you have multiple Python versions installed
- If you get error about `_tkinter` missing, reinstall the tkinter package: `brew reinstall python-tk@3.14`
- If you get model loading errors, check that your models are in the correct folder
- If you encounter conflicts with other Python versions, consider uninstalling them:
  ```bash
  # List all installed Python versions
  brew list | grep python

# Uninstall conflicting versions if needed
  brew uninstall --ignore-dependencies python@3.11

# Keep only Python 3.14
  brew cleanup
  ```

**CoreML Execution Provider (Apple Legacy)**

1. Install dependencies:

```bash
pip uninstall onnxruntime onnxruntime-coreml
pip install onnxruntime-coreml==1.21.0
```

2. Usage:

```bash
python run.py --execution-provider coreml
```

**DirectML Execution Provider (Windows)**

1. Install dependencies:

```bash
pip uninstall onnxruntime onnxruntime-directml
pip install onnxruntime-directml==1.21.0
```

2. Usage:

```bash
python run.py --execution-provider directml
```

**OpenVINO™ Execution Provider (Intel)**

1. Install dependencies:

```bash
pip uninstall onnxruntime onnxruntime-openvino
pip install onnxruntime-openvino==1.21.0
```

**Note:** `onnxruntime-openvino` newer than 1.21.0 must be installed together with `openvino`, and the two versions must correspond one-to-one. The supported pairings are:

| onnxruntime-openvino | OpenVINO |
| --- | --- |
| 1.24.1 | 2025.4.1 |
| 1.23.0 | 2025.3 |
| 1.22.0 | 2025.1 |

```bash
# Example: onnxruntime-openvino 1.24.1 pairs with OpenVINO 2025.4.1
pip install openvino==2025.4.1
pip install onnxruntime-openvino==1.24.1
```

See the [OpenVINO Execution Provider requirements](https://onnxruntime.ai/docs/execution-providers/OpenVINO-ExecutionProvider.html#requirements) for the full version-mapping details.

2. Usage:

```bash
python run.py --execution-provider openvino
```
</details>

## Usage

**1. Image/Video Mode**

-   Execute `python run.py`.
-   Choose a source face image and a target image/video.
-   Click "Start".
-   The output will be saved in a directory named after the target video.

**2. Webcam Mode**

-   Execute `python run.py`.
-   Select a source face image.
-   Click "Live".
-   Wait for the preview to appear (10-30 seconds).
-   Use a screen capture tool like OBS to stream.
-   To change the face, select a new source image.

## Download all models in this huggingface link
- [**Download models here**](https://huggingface.co/hacksider/deep-live-cam/tree/main)

## Command Line Arguments (Unmaintained)

```
options:
  -h, --help                                               show this help message and exit
  -s SOURCE_PATH, --source SOURCE_PATH                     select a source image
  -t TARGET_PATH, --target TARGET_PATH                     select a target image or video
  -o OUTPUT_PATH, --output OUTPUT_PATH                     select output file or directory
  --frame-processor FRAME_PROCESSOR [FRAME_PROCESSOR ...]  frame processors (choices: face_swapper, face_enhancer, ...)
  --keep-fps                                               keep original fps
  --keep-audio                                             keep original audio
  --keep-frames                                            keep temporary frames
  --many-faces                                             process every face
  --map-faces                                              map source target faces
  --mouth-mask                                             mask the mouth region
  --video-encoder {libx264,libx265,libvpx-vp9}             adjust output video encoder
  --video-quality [0-51]                                   adjust output video quality
  --live-mirror                                            the live camera display as you see it in the front-facing camera frame
  --live-resizable                                         the live camera frame is resizable
  --max-memory MAX_MEMORY                                  maximum amount of RAM in GB
  --execution-provider {cpu} [{cpu} ...]                   available execution provider (choices: cpu, ...)
  --execution-threads EXECUTION_THREADS                    number of execution threads
  -v, --version                                            show program's version number and exit
```

Looking for a CLI mode? Using the -s/--source argument will make the run program in cli mode.

## Press

- [**Ars Technica**](https://arstechnica.com/information-technology/2024/08/new-ai-tool-enables-real-time-face-swapping-on-webcams-raising-fraud-concerns/) - *"Deep-Live-Cam goes viral, allowing anyone to become a digital doppelganger"*
 - [**Yahoo!**](https://www.yahoo.com/tech/ok-viral-ai-live-stream-080041056.html) - *"OK, this viral AI live stream software is truly terrifying"*
 - [**CNN Brasil**](https://www.cnnbrasil.com.br/tecnologia/ia-consegue-clonar-rostos-na-webcam-entenda-funcionamento/) - *"AI can clone faces on webcam; understand how it works"*
 - [**Bloomberg Technoz**](https://www.bloombergtechnoz.com/detail-news/71032/kenalan-dengan-teknologi-deep-live-cam-bisa-jadi-alat-menipu) - *"Get to know Deep Live Cam technology, it can be used as a tool for deception."*
 - [**TrendMicro**](https://www.trendmicro.com/vinfo/gb/security/news/cyber-attacks/ai-vs-ai-deepfakes-and-ekyc) - *"AI vs AI: DeepFakes and eKYC"*
 - [**PetaPixel**](https://petapixel.com/2024/08/14/deep-live-cam-deepfake-ai-tool-lets-you-become-anyone-in-a-video-call-with-single-photo-mark-zuckerberg-jd-vance-elon-musk/) - *"Deepfake AI Tool Lets You Become Anyone in a Video Call With Single Photo"*
 - [**SomeOrdinaryGamers**](https://www.youtube.com/watch?time_continue=1074&v=py4Tc-Y8BcY) - *"That's Crazy, Oh God. That's Fucking Freaky Dude... That's So Wild Dude"*
 - [**IShowSpeed**](https://www.youtube.com/live/mFsCe7AIxq8?feature=shared&t=2686) - *"Alright look look look, now look chat, we can do any face we want to look like chat"*
 - [**TechLinked (Linus Tech Tips)**](https://www.youtube.com/watch?v=wnCghLjqv3s&t=551s) - *"They do a pretty good job matching poses, expression and even the lighting"*
 - [**IShowSpeed**](https://youtu.be/JbUPRmXRUtE?t=3964) - *"What the F***! Why do I look like Vinny Jr? I look exactly like Vinny Jr!? No, this shit is crazy! Bro This is F*** Crazy!"*

## Credits

-   [ffmpeg](https://ffmpeg.org/): for making video-related operations easy
-   [Henry](https://github.com/henryruhs): One of the major contributor in this repo
-   [deepinsight](https://github.com/deepinsight): for their [insightface](https://github.com/deepinsight/insightface) project which provided a well-made library and models. Please be reminded that the [use of the model is for non-commercial research purposes only](https://github.com/deepinsight/insightface?tab=readme-ov-file#license).
-   [havok2-htwo](https://github.com/havok2-htwo): for sharing the code for webcam
-   [GosuDRM](https://github.com/GosuDRM): for the open version of roop
-   [pereiraroland26](https://github.com/pereiraroland26): Multiple faces support
-   [vic4key](https://github.com/vic4key): For supporting/contributing to this project
-   [kier007](https://github.com/kier007): for improving the user experience
-   [qitianai](https://github.com/qitianai): for multi-lingual support
-   [laurigates](https://github.com/laurigates): Decoupling stuffs to make everything faster!
-   [maxwbuckley](https://github.com/maxwbuckley): For making the effort to optimize this for mac!
-   and [all developers](https://github.com/hacksider/Deep-Live-Cam/graphs/contributors) behind libraries used in this project.
-   Footnote: Please be informed that the base author of the code is [s0md3v](https://github.com/s0md3v/roop)
-   All the wonderful users who helped make this project go viral by starring the repo ❤️

[![Stargazers](https://reporoster.com/stars/hacksider/Deep-Live-Cam)](https://github.com/hacksider/Deep-Live-Cam/stargazers)

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