WorkflowUIPlugin

By JimpiView on GitHub →

This plugin adds features in order to enable full functionality of WorkflowUI Application to which turns your workflows into apps and provides structures for organizing your generations.

How much VRAM does WorkflowUIPlugin require?

Direct Answer: The ComfyUI node WorkflowUIPlugin 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

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🚀 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

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
AC ComfyUI Queue Manager
by abdullahceylan256MB VRAM
ACE-Step-ComfyUI
by ace-step1.5GB VRAM
AIV ComfyUI Node
by bbtaivi128MB VRAM

Frequently Asked Questions

How much VRAM does WorkflowUIPlugin require?

WorkflowUIPlugin 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 WorkflowUIPlugin 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 WorkflowUIPlugin?

WorkflowUIPlugin 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 WorkflowUIPlugin in ComfyUI?

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