comfyui-face-liquify

By yichengupView on GitHub →

video face liquefaction

How much VRAM does comfyui-face-liquify require?

Direct Answer: The ComfyUI node comfyui-face-liquify 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.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not supported
Estimation Confidence:
MEDIUM

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

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-face-liquify?

Direct Answer: Running comfyui-face-liquify requires installing the following Python package dependencies: insightface>=0.7.3, numpy>=1.20.0, onnxruntime>=1.8.0, onnxruntime-gpu>=1.8.0, opencv-python>=4.5.0, torch>=1.7.0. This node specifically requires PyTorch version 1.7.0 or newer.

requirements.txt
insightface>=0.7.3
numpy>=1.20.0
onnxruntime>=1.8.0
onnxruntime-gpu>=1.8.0
opencv-python>=4.5.0
torch>=1.7.0

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Special Environment Requirements:

Requires PyTorch version 1.7.0+.

To update PyTorch for your selected setup, run:
# Loading PyTorch command...

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

ComfyUI-AutoSplitGridImage
by stormcenter128MB VRAM
Pixstri ComfyUI Comics
by lisaks4.0GB VRAM
draw_tools
by Ky11le256MB VRAM

Frequently Asked Questions

How much VRAM does comfyui-face-liquify require?

comfyui-face-liquify 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 comfyui-face-liquify 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 PyTorch version does comfyui-face-liquify need?

comfyui-face-liquify requires the following PyTorch-related packages: torch>=1.7.0. 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-face-liquify?

To run comfyui-face-liquify, you need to install: insightface>=0.7.3, numpy>=1.20.0, onnxruntime>=1.8.0, onnxruntime-gpu>=1.8.0, opencv-python>=4.5.0, torch>=1.7.0. You can install these using pip or add them to your requirements.txt file.

How do I install comfyui-face-liquify in ComfyUI?

To install comfyui-face-liquify: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/yichengup/comfyui-face-liquify, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.