Custom-Node-ComfyUI-NBP-Uncut

By This-is-UncutView on GitHub →

Node to use NBP with custom API key to improve data privacy control.

How much VRAM does Custom-Node-ComfyUI-NBP-Uncut require?

Direct Answer: The ComfyUI node Custom-Node-ComfyUI-NBP-Uncut 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.

High (2-4GB)
Base VRAM:
128MB (0.1GB)
Recommended GPU:
4GB+ 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!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

What Python packages are required for Custom-Node-ComfyUI-NBP-Uncut?

Direct Answer: Running Custom-Node-ComfyUI-NBP-Uncut requires installing the following Python package dependencies: google-genai>=1.55.0, numpy, pillow. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
google-genai>=1.55.0
numpy
pillow

Interactive Setup & Dependency Resolver

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

Related Custom Nodes

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

Custom-Node-ComfyUI-NBP-Uncut-Vertex
by This-is-Uncut128MB VRAM
A3D ComfyUI Integration
by n0neye256MB VRAM
AgaveLogicCounter
by agavesunset128MB VRAM
Anima Regional Canvas
by ukr8b3g-cmyk2.0GB VRAM
ComfyNodesPlus
by chemicalshock256MB VRAM

Frequently Asked Questions

How much VRAM does Custom-Node-ComfyUI-NBP-Uncut require?

Custom-Node-ComfyUI-NBP-Uncut 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 Custom-Node-ComfyUI-NBP-Uncut 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 Custom-Node-ComfyUI-NBP-Uncut?

To run Custom-Node-ComfyUI-NBP-Uncut, you need to install: google-genai>=1.55.0, numpy, pillow. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Custom-Node-ComfyUI-NBP-Uncut?

Custom-Node-ComfyUI-NBP-Uncut 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 Custom-Node-ComfyUI-NBP-Uncut in ComfyUI?

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