ComfyUI_Selectors

By kiko9View on GitHub →

A modern ComfyUI custom node package that provides essential UI controls for image generation workflows. These nodes allow you to centralize commonly shared parameters (scheduler, sampler, dimensions, seeds) and link them to multiple nodes in your workflow, eliminating redundancy while maintaining JSON metadata compatibility.

How much VRAM does ComfyUI_Selectors require?

Direct Answer: The ComfyUI node ComfyUI_Selectors 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!

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Related Custom Nodes

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

A3D ComfyUI Integration
by n0neye256MB VRAM
AgaveLogicCounter
by agavesunset128MB VRAM
Anima Regional Canvas
by ukr8b3g-cmyk2.0GB VRAM
ComfyNodesPlus
by chemicalshock256MB VRAM
ComfyUI DeviantArt Sender
by sni10256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI_Selectors require?

ComfyUI_Selectors 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_Selectors 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

How can I reduce VRAM usage when running ComfyUI_Selectors?

ComfyUI_Selectors 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_Selectors in ComfyUI?

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