ComfyUI-aihub-workflow-exposer

By otavanopistoView on GitHub →

Custom nodes for ComfyUI in order to expose AI workflows to external applications (particularly image, video and audio editors) so workflows can be integrated as plugins

How much VRAM does ComfyUI-aihub-workflow-exposer require?

Direct Answer: The ComfyUI node ComfyUI-aihub-workflow-exposer requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not 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 Cloud GPUs

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Frequently Asked Questions

How much VRAM does ComfyUI-aihub-workflow-exposer require?

ComfyUI-aihub-workflow-exposer requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI-aihub-workflow-exposer on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

How do I install ComfyUI-aihub-workflow-exposer in ComfyUI?

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