ComfyUI-UML

By antoinebou12View on GitHub →

Render Mermaid, PlantUML, Graphviz, D2 and 28 Kroki diagram types as PNG/SVG/PDF in ComfyUI. Uses the Kroki API (no local setup) or optional local Mermaid/Graphviz. Includes a built-in zoomable viewer (Save to ComfyUI, shareable URLs), optional cairosvg for in-node SVG/PNG preview, and LLM Prompt Engine + LLM Call nodes to generate diagram code from templates.

How much VRAM does ComfyUI-UML require?

Direct Answer: The ComfyUI node ComfyUI-UML 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

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 ComfyUI-UML?

Direct Answer: Running ComfyUI-UML requires installing the following Python package dependencies: httpx>=0.24.0, kroki>=0.1.6. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
httpx>=0.24.0
kroki>=0.1.6

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:

AITocha Vision
by aitocha128MB VRAM
AI_Text_Comfyui
by Zch6111256MB VRAM
AK XZ Axis (XY for any KSampler)
by akawana256MB VRAM
ArtyClaw Comfy Nodes
by artyclaw256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-UML require?

ComfyUI-UML 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 ComfyUI-UML 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

What Python packages are required for ComfyUI-UML?

To run ComfyUI-UML, you need to install: httpx>=0.24.0, kroki>=0.1.6. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-UML?

ComfyUI-UML 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-UML in ComfyUI?

To install ComfyUI-UML: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/antoinebou12/ComfyUI-UML, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.