Key-Value KV-Tools for ComfyUI

By millerlightView on GitHub →

Nodes for JSON Key/Value (KV) storage with on-the-fly UI preview, dynamic drop-downs, random selection, and inline edit mode.

How much VRAM does Key-Value KV-Tools for ComfyUI require?

Direct Answer: The ComfyUI node Key-Value KV-Tools for ComfyUI requires a minimum base VRAM of 256MB 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:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

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

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Related Custom Nodes

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

0x-jerry/Rembg Background Removal Node for ComfyUI
by 0x-jerry128MB VRAM
A8R8 ComfyUI Nodes
by ramyma128MB VRAM
AI4ArtsEd Nodes
by joeriben128MB VRAM
AIFSH/ComfyUI-AuraSR
by AIFSH128MB VRAM

Frequently Asked Questions

How much VRAM does Key-Value KV-Tools for ComfyUI require?

Key-Value KV-Tools for ComfyUI requires a minimum of 256MB (0.3GB) 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 Key-Value KV-Tools for ComfyUI on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom

How can I reduce VRAM usage when running Key-Value KV-Tools for ComfyUI?

Key-Value KV-Tools for ComfyUI 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 Key-Value KV-Tools for ComfyUI in ComfyUI?

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