ComfyUI_FaceShaper
Match two faces' shape before using other face swap nodes Face-swapping tools typically only replace facial features during the swap, without altering the facial shape. When there is a significant difference in facial shape between the target person and the person in the original photo, the result of the face swap is less satisfactory. This project is a small script that can first liquefy and stretch the face in the original photo according to the horizontal and vertical proportions of the target person's facial contour. The resulting image can be used as input for other face-swapping nodes.
How much VRAM does ComfyUI_FaceShaper require?
Direct Answer: The ComfyUI node ComfyUI_FaceShaper requires a minimum base VRAM of 256MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 256MB (0.3GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- HIGH
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 ComfyUI_FaceShaper?
Direct Answer: Running ComfyUI_FaceShaper requires installing the following Python package dependencies: mediapipe, numpy<=1.26.4, onnx2torch, onnxruntime-gpu, opencv-python, pykalman, pyyaml. Ensure your ComfyUI environment has these packages active before launching.
mediapipe
numpy<=1.26.4
onnx2torch
onnxruntime-gpu
opencv-python
pykalman
pyyamlInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI_FaceShaper require?
ComfyUI_FaceShaper requires a minimum of 256MB (0.3GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.
Can I run ComfyUI_FaceShaper on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom
What PyTorch version does ComfyUI_FaceShaper need?
ComfyUI_FaceShaper requires the following PyTorch-related packages: onnx2torch. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).
What Python packages are required for ComfyUI_FaceShaper?
To run ComfyUI_FaceShaper, you need to install: mediapipe, numpy<=1.26.4, onnx2torch, onnxruntime-gpu, opencv-python, pykalman, pyyaml. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI_FaceShaper?
ComfyUI_FaceShaper supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.
How do I install ComfyUI_FaceShaper in ComfyUI?
To install ComfyUI_FaceShaper: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/fssorc/ComfyUI_FaceShaper, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.