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@ -30,13 +30,18 @@ By using this software, you agree to these terms and commit to using it in a man
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.
## Exclusive v2.0 Quick Start - Pre-built (Windows / Nvidia)
<a href="https://deeplivecam.net/index.php/quickstart"> <img src="https://github.com/user-attachments/assets/7d993b32-e3e8-4cd3-bbfb-a549152ebdd5" width="285" height="77" />
## Quick Start - Pre-built (Windows / Nvidia)
<a href="https://hacksider.gumroad.com/l/vccdmm"> <img src="https://github.com/user-attachments/assets/7d993b32-e3e8-4cd3-bbfb-a549152ebdd5" width="285" height="77" />
##### This is the fastest build you can get if you have a discrete NVIDIA GPU.
## Quick Start - Pre-built (Mac / Silicon)
<a href="https://krshh.gumroad.com/l/Deep-Live-Cam-Mac"> <img src="https://github.com/user-attachments/assets/d5d913b5-a7de-4609-96b9-979a5749a703" width="285" height="77" />
###### These Pre-builts are perfect for non-technical users or those who don't have time to, or can't manually install all the requirements. Just a heads-up: this is an open-source project, so you can also install it manually. This will be 60 days ahead on the open source version.
###### These Pre-builts are perfect for non-technical users or those who dont have time to, or can't manually install all the requirements. Just a heads-up: this is an open-source project, so you can also install it manually.
## TLDR; Live Deepfake in just 3 Clicks
![easysteps](https://github.com/user-attachments/assets/af825228-852c-411b-b787-ffd9aac72fc6)
@ -118,8 +123,7 @@ This is more likely to work on your computer but will be slower as it utilizes t
**2. Clone the Repository**
```bash
git clone https://github.com/hacksider/Deep-Live-Cam.git
cd Deep-Live-Cam
https://github.com/hacksider/Deep-Live-Cam.git
```
**3. Download the Models**
@ -133,44 +137,14 @@ Place these files in the "**models**" folder.
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 macOS:**
Apple Silicon (M1/M2/M3) requires specific setup:
**For macOS:** Install or upgrade the `python-tk` package:
```bash
# Install Python 3.10 (specific version is important)
brew install python@3.10
# Install tkinter package (required for the GUI)
brew install python-tk@3.10
# Create and activate virtual environment with Python 3.10
python3.10 -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
```
**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).
@ -195,39 +169,19 @@ python run.py --execution-provider cuda
**CoreML Execution Provider (Apple Silicon)**
Apple Silicon (M1/M2/M3) specific installation:
1. Make sure you've completed the macOS setup above using Python 3.10.
2. Install dependencies:
1. Install dependencies:
```bash
pip uninstall onnxruntime onnxruntime-silicon
pip install onnxruntime-silicon==1.13.1
```
3. Usage (important: specify Python 3.10):
2. Usage:
```bash
python3.10 run.py --execution-provider coreml
python run.py --execution-provider coreml
```
**Important Notes for macOS:**
- You **must** use Python 3.10, not newer versions like 3.11 or 3.13
- Always run with `python3.10` 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@3.10`
- 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 python@3.13
# Keep only Python 3.10
brew cleanup
```
**CoreML Execution Provider (Apple Legacy)**
1. Install dependencies:
@ -272,6 +226,7 @@ pip install onnxruntime-openvino==1.15.0
```bash
python run.py --execution-provider openvino
```
</details>
## Usage
@ -292,19 +247,6 @@ python run.py --execution-provider openvino
- Use a screen capture tool like OBS to stream.
- To change the face, select a new source image.
## Tips and Tricks
Check out these helpful guides to get the most out of Deep-Live-Cam:
- [Unlocking the Secrets to the Perfect Deepfake Image](https://deeplivecam.net/index.php/blog/tips-and-tricks/unlocking-the-secrets-to-the-perfect-deepfake-image) - Learn how to create the best deepfake with full head coverage
- [Video Call with DeepLiveCam](https://deeplivecam.net/index.php/blog/tips-and-tricks/video-call-with-deeplivecam) - Make your meetings livelier by using DeepLiveCam with OBS and meeting software
- [Have a Special Guest!](https://deeplivecam.net/index.php/blog/tips-and-tricks/have-a-special-guest) - Tutorial on how to use face mapping to add special guests to your stream
- [Watch Deepfake Movies in Realtime](https://deeplivecam.net/index.php/blog/tips-and-tricks/watch-deepfake-movies-in-realtime) - See yourself star in any video without processing the video
- [Better Quality without Sacrificing Speed](https://deeplivecam.net/index.php/blog/tips-and-tricks/better-quality-without-sacrificing-speed) - Tips for achieving better results without impacting performance
- [Instant Vtuber!](https://deeplivecam.net/index.php/blog/tips-and-tricks/instant-vtuber) - Create a new persona/vtuber easily using Metahuman Creator
Visit our [official blog](https://deeplivecam.net/index.php/blog/tips-and-tricks) for more tips and tutorials.
## Command Line Arguments (Unmaintained)
```
@ -378,3 +320,5 @@ Looking for a CLI mode? Using the -s/--source argument will make the run program
<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=hacksider/deep-live-cam&type=Date" />
</picture>
</a>

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@ -4,7 +4,6 @@ import insightface
import threading
import numpy as np
import modules.globals
import logging
import modules.processors.frame.core
from modules.core import update_status
from modules.face_analyser import get_one_face, get_many_faces, default_source_face
@ -106,20 +105,14 @@ def process_frame(source_face: Face, temp_frame: Frame) -> Frame:
many_faces = get_many_faces(temp_frame)
if many_faces:
for target_face in many_faces:
if source_face and target_face:
temp_frame = swap_face(source_face, target_face, temp_frame)
else:
print("Face detection failed for target/source.")
temp_frame = swap_face(source_face, target_face, temp_frame)
else:
target_face = get_one_face(temp_frame)
if target_face and source_face:
if target_face:
temp_frame = swap_face(source_face, target_face, temp_frame)
else:
logging.error("Face detection failed for target or source.")
return temp_frame
def process_frame_v2(temp_frame: Frame, temp_frame_path: str = "") -> Frame:
if is_image(modules.globals.target_path):
if modules.globals.many_faces:

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@ -15,7 +15,11 @@ torch==2.5.1; sys_platform == 'darwin'
torchvision==0.20.1; sys_platform != 'darwin'
torchvision==0.20.1; sys_platform == 'darwin'
onnxruntime-silicon==1.16.3; sys_platform == 'darwin' and platform_machine == 'arm64'
onnxruntime-gpu==1.17; sys_platform != 'darwin'
onnxruntime-gpu==1.16.3; sys_platform != 'darwin'
tensorflow; sys_platform != 'darwin'
opennsfw2==0.10.2
protobuf==4.23.2
tqdm==4.66.4
gfpgan==1.3.8
tkinterdnd2==0.4.2
pygrabber==0.2