13 Commits

Author SHA1 Message Date
Kenneth Estanislao
1d41a20abf Update requirements.txt 2025-04-08 23:36:10 +08:00
Kenneth Estanislao
df940ccc3d Update .gitignore 2025-04-08 23:32:41 +08:00
Kenneth Estanislao
834f39ec0c Update requirements.txt 2025-03-28 17:02:31 +08:00
Kenneth Estanislao
56cddde87c Update core.py
Allows CUDA 12 to be used on this version
2025-03-27 02:56:08 +08:00
Kenneth Estanislao
0dbed2883a Update core.py
refactoring the code to make it easier to understand and is more optimized
2025-03-27 02:00:43 +08:00
Kenneth Estanislao
66248a37b4 Merge pull request #990 from wpoPR/pr/improve-macos-installation-instructions
improve macOS Apple Silicon installation instructions
2025-03-24 18:26:28 +08:00
KRSHH
aa9b7ed3b6 Add Tips and Tricks to README 2025-03-22 19:59:40 +05:30
Wesley Oliveira
51a4246050 adding uninstalling conflict python versions
follow sourcery-ai and add a note about uninstalling conflicting Python versions if users encounter issues.
2025-03-21 12:37:21 -03:00
Wesley Oliveira
3f1c072fac improve macOS Apple Silicon installation instructions
Followed the `README` but ran into some errors running it locally. Made a few tweaks and got it working on my M3 PRO. Found this PR (Failing to run on Apple Silicon Mac M3) and thought improving the instructions might help others. Hope this helps!

great tool guys, thx a lot
2025-03-20 16:47:01 -03:00
KRSHH
f91f9203e7 Remove Mac Edition Temporarily 2025-03-19 03:00:32 +05:30
Kenneth Estanislao
80477676b4 Merge pull request #980 from aaddyy227/main
Fix face swapping crash due to None face embeddings
2025-03-16 00:03:39 +08:00
Adrian Zimbran
c728994e6b fixed import and log message 2025-03-10 23:41:28 +02:00
Adrian Zimbran
65da3be2a4 Fix face swapping crash due to None face embeddings
- Add explicit checks for face detection results (source and target faces).
- Handle cases when face embeddings are not available, preventing AttributeError.
- Provide meaningful log messages for easier debugging in future scenarios.
2025-03-10 23:31:56 +02:00
5 changed files with 967 additions and 184 deletions

1
.gitignore vendored
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@@ -25,3 +25,4 @@ models/DMDNet.pth
faceswap/
.vscode/
switch_states.json
venv.rar

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@@ -36,12 +36,8 @@ Users are expected to use this software responsibly and legally. If using a real
<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 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.
###### 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.
## TLDR; Live Deepfake in just 3 Clicks
![easysteps](https://github.com/user-attachments/assets/af825228-852c-411b-b787-ffd9aac72fc6)
@@ -123,7 +119,8 @@ This is more likely to work on your computer but will be slower as it utilizes t
**2. Clone the Repository**
```bash
https://github.com/hacksider/Deep-Live-Cam.git
git clone https://github.com/hacksider/Deep-Live-Cam.git
cd Deep-Live-Cam
```
**3. Download the Models**
@@ -137,14 +134,44 @@ 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:** Install or upgrade the `python-tk` package:
**For macOS:**
Apple Silicon (M1/M2/M3) requires specific setup:
```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).
@@ -169,19 +196,39 @@ python run.py --execution-provider cuda
**CoreML Execution Provider (Apple Silicon)**
1. Install dependencies:
Apple Silicon (M1/M2/M3) specific installation:
1. Make sure you've completed the macOS setup above using Python 3.10.
2. Install dependencies:
```bash
pip uninstall onnxruntime onnxruntime-silicon
pip install onnxruntime-silicon==1.13.1
```
2. Usage:
3. Usage (important: specify Python 3.10):
```bash
python run.py --execution-provider coreml
python3.10 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:
@@ -226,7 +273,6 @@ pip install onnxruntime-openvino==1.15.0
```bash
python run.py --execution-provider openvino
```
</details>
## Usage
@@ -247,6 +293,19 @@ 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)
```
@@ -319,6 +378,4 @@ Looking for a CLI mode? Using the -s/--source argument will make the run program
<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=hacksider/deep-live-cam&type=Date" />
<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=hacksider/deep-live-cam&type=Date" />
</picture>
</a>
</a>

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@@ -4,6 +4,7 @@ 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
@@ -105,14 +106,20 @@ 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:
temp_frame = swap_face(source_face, target_face, temp_frame)
if source_face and target_face:
temp_frame = swap_face(source_face, target_face, temp_frame)
else:
print("Face detection failed for target/source.")
else:
target_face = get_one_face(temp_frame)
if target_face:
if target_face and source_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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@@ -1,21 +1,21 @@
--extra-index-url https://download.pytorch.org/whl/cu118
--extra-index-url https://download.pytorch.org/whl/nightly/cu128
numpy>=1.23.5,<2
typing-extensions>=4.8.0
opencv-python==4.10.0.84
cv2_enumerate_cameras==1.1.15
onnx==1.16.0
opencv-python==4.11.0.86
onnx==1.17.0
cv2_enumerate_cameras==1.1.18.3
insightface==0.7.3
psutil==5.9.8
tk==0.1.0
customtkinter==5.2.2
pillow==11.1.0
torch==2.5.1+cu118; sys_platform != 'darwin'
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==1.16.3; sys_platform != 'darwin'
torch; sys_platform != 'darwin'
torch; sys_platform == 'darwin'
torchvision; sys_platform != 'darwin'
torchvision; sys_platform == 'darwin'
onnxruntime-silicon==1.21; sys_platform == 'darwin' and platform_machine == 'arm64'
onnxruntime-gpu==1.21; sys_platform != 'darwin'
tensorflow; sys_platform != 'darwin'
opennsfw2==0.10.2
protobuf==4.23.2