comfyui_sunxAI_facetools
Face detection & restoration tools for ComfyUI by Sunx.ai
How much VRAM does comfyui_sunxAI_facetools require?
Direct Answer: The ComfyUI node comfyui_sunxAI_facetools 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_sunxAI_facetools?
Direct Answer: Running comfyui_sunxAI_facetools requires installing the following Python package dependencies: accelerate>=0.20.0, black>=23.0.0, cvlib, flake8>=6.0.0, insightface, mediapipe>=0.10.0, numpy>=1.24.0, onnxruntime, onnxruntime-gpu; sys_platform != 'darwin' and platform_machine == 'x86_64', opencv-contrib-python>=4.8.0, opencv-python>=4.8.0, pillow>=10.0.0, pytest>=7.4.0, requests>=2.31.0, scikit-image>=0.21.0, scipy>=1.10.0, transformers>=4.30.0, ultralytics>=8.0.0. Ensure your ComfyUI environment has these packages active before launching.
accelerate>=0.20.0
black>=23.0.0
cvlib
flake8>=6.0.0
insightface
mediapipe>=0.10.0
numpy>=1.24.0
onnxruntime
onnxruntime-gpu; sys_platform != 'darwin' and platform_machine == 'x86_64'
opencv-contrib-python>=4.8.0
opencv-python>=4.8.0
pillow>=10.0.0
pytest>=7.4.0
requests>=2.31.0
scikit-image>=0.21.0
scipy>=1.10.0
transformers>=4.30.0
ultralytics>=8.0.0Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does comfyui_sunxAI_facetools require?
comfyui_sunxAI_facetools 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_sunxAI_facetools 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 Python packages are required for comfyui_sunxAI_facetools?
To run comfyui_sunxAI_facetools, you need to install: accelerate>=0.20.0, black>=23.0.0, cvlib, flake8>=6.0.0, insightface, mediapipe>=0.10.0, numpy>=1.24.0, onnxruntime, onnxruntime-gpu; sys_platform != 'darwin' and platform_machine == 'x86_64', opencv-contrib-python>=4.8.0, opencv-python>=4.8.0, pillow>=10.0.0, pytest>=7.4.0, requests>=2.31.0, scikit-image>=0.21.0, scipy>=1.10.0, transformers>=4.30.0, ultralytics>=8.0.0. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running comfyui_sunxAI_facetools?
comfyui_sunxAI_facetools 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_sunxAI_facetools in ComfyUI?
To install comfyui_sunxAI_facetools: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/upseem/comfyui_sunxAI_facetools, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.