ComfyUI_ZenID
Inspired by [a/InstantID](https://github.com/instantX-research/InstantID) and [a/InstantID Comfy](https://github.com/cubiq/ComfyUI_InstantID) This ZenID Node has been refactored for specialized tasks like Face Swap
How much VRAM does ComfyUI_ZenID require?
Direct Answer: The ComfyUI node ComfyUI_ZenID requires a minimum base VRAM of 128MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 128MB (0.1GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ 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 ComfyUI_ZenID?
Direct Answer: Running ComfyUI_ZenID requires installing the following Python package dependencies: huggingface_hub, insightface, onnxruntime, onnxruntime-gpu; sys_platform != 'darwin' and platform_machine == 'x86_64'. Ensure your ComfyUI environment has these packages active before launching.
huggingface_hub
insightface
onnxruntime
onnxruntime-gpu; sys_platform != 'darwin' and platform_machine == 'x86_64'Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI_ZenID require?
ComfyUI_ZenID requires a minimum of 128MB (0.1GB) 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_ZenID on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom
What Python packages are required for ComfyUI_ZenID?
To run ComfyUI_ZenID, you need to install: huggingface_hub, insightface, onnxruntime, onnxruntime-gpu; sys_platform != 'darwin' and platform_machine == 'x86_64'. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI_ZenID?
ComfyUI_ZenID 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_ZenID in ComfyUI?
To install ComfyUI_ZenID: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/vuongminh1907/ComfyUI_ZenID, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.