Deep Live Cam for ComfyUI
This node integrates the face-swapping capabilities from Deep Live Cam into ComfyUI, allowing you to perform real-time face swapping on images and video streams.
How much VRAM does Deep Live Cam for ComfyUI require?
Direct Answer: The ComfyUI node Deep Live Cam for ComfyUI requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.
- Base VRAM:
- 4096MB (4.0GB)
- Recommended GPU:
- 8GB+ VRAM
- Low VRAM Mode:
- ✗ Not supported
- Estimation Confidence:
- MEDIUM
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
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What Python packages are required for Deep Live Cam for ComfyUI?
Direct Answer: Running Deep Live Cam for ComfyUI requires installing the following Python package dependencies: customtkinter==5.2.2, cv2_enumerate_cameras==1.1.15, insightface==0.7.3, numpy>=1.23.5,<2, onnx==1.16.0, onnxruntime-gpu==1.16; sys_platform != 'darwin', onnxruntime-silicon==1.16.3; sys_platform == 'darwin' and platform_machine == 'arm64', opencv-python==4.10.0.84, opennsfw2==0.10.2, pillow==11.1.0, protobuf==4.23.2, psutil==5.9.8, tensorflow; sys_platform != 'darwin', tk==0.1.0, typing-extensions>=4.8.0. Ensure your ComfyUI environment has these packages active before launching.
customtkinter==5.2.2
cv2_enumerate_cameras==1.1.15
insightface==0.7.3
numpy>=1.23.5,<2
onnx==1.16.0
onnxruntime-gpu==1.16; sys_platform != 'darwin'
onnxruntime-silicon==1.16.3; sys_platform == 'darwin' and platform_machine == 'arm64'
opencv-python==4.10.0.84
opennsfw2==0.10.2
pillow==11.1.0
protobuf==4.23.2
psutil==5.9.8
tensorflow; sys_platform != 'darwin'
tk==0.1.0
typing-extensions>=4.8.0Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does Deep Live Cam for ComfyUI require?
Deep Live Cam for ComfyUI requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.
Can I run Deep Live Cam for ComfyUI on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom
What Python packages are required for Deep Live Cam for ComfyUI?
To run Deep Live Cam for ComfyUI, you need to install: customtkinter==5.2.2, cv2_enumerate_cameras==1.1.15, insightface==0.7.3, numpy>=1.23.5,<2, onnx==1.16.0, onnxruntime-gpu==1.16; sys_platform != 'darwin', onnxruntime-silicon==1.16.3; sys_platform == 'darwin' and platform_machine == 'arm64', opencv-python==4.10.0.84, opennsfw2==0.10.2, pillow==11.1.0, protobuf==4.23.2, psutil==5.9.8, tensorflow; sys_platform != 'darwin', tk==0.1.0, typing-extensions>=4.8.0. You can install these using pip or add them to your requirements.txt file.
How do I install Deep Live Cam for ComfyUI in ComfyUI?
To install Deep Live Cam for ComfyUI: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/ryanontheinside/ComfyUI-DeepLiveCam, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.