ComfyUI-CustomNodes

By wTechArtistView on GitHub →

Nodes:Image Blending Mode Mask, Load Image With Bool, IPAdapter Mad Scientist Weight_Type, IPAdapter FaceID With Bool

How much VRAM does ComfyUI-CustomNodes require?

Direct Answer: The ComfyUI node ComfyUI-CustomNodes requires a minimum base VRAM of 2048MB and is optimized for GPUs with at least 6GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
2048MB (2.0GB)
Recommended GPU:
6GB+ VRAM
Low VRAM Mode:
✓ 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-CustomNodes?

Direct Answer: Running ComfyUI-CustomNodes requires installing the following Python package dependencies: numpy, openai, pilgram. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
numpy
openai
pilgram

Interactive Setup & Dependency Resolver

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

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Frequently Asked Questions

How much VRAM does ComfyUI-CustomNodes require?

ComfyUI-CustomNodes requires a minimum of 2048MB (2.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 6GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run ComfyUI-CustomNodes on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 12.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 19.6GB headroom

What Python packages are required for ComfyUI-CustomNodes?

To run ComfyUI-CustomNodes, you need to install: numpy, openai, pilgram. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-CustomNodes?

ComfyUI-CustomNodes 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-CustomNodes in ComfyUI?

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