ComfyUI-outputlists-combiner

By geroldmeisingerView on GitHub →

ComfyUI custom nodes to create output lists with strings and numbers, make combinations of them, and help with XYZ-Gridplots

How much VRAM does ComfyUI-outputlists-combiner require?

Direct Answer: The ComfyUI node ComfyUI-outputlists-combiner 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.

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What Python packages are required for ComfyUI-outputlists-combiner?

Direct Answer: Running ComfyUI-outputlists-combiner requires installing the following Python package dependencies: chardet, deepdiff, fastnumbers, jsonpath_ng, nums-from-string, odfpy, openpyxl, pandas, pyexiftool, pyxlsb, skia-python, xlrd. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
chardet
deepdiff
fastnumbers
jsonpath_ng
nums-from-string
odfpy
openpyxl
pandas
pyexiftool
pyxlsb
skia-python
xlrd

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

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Frequently Asked Questions

How much VRAM does ComfyUI-outputlists-combiner require?

ComfyUI-outputlists-combiner 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-outputlists-combiner 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-outputlists-combiner?

To run ComfyUI-outputlists-combiner, you need to install: chardet, deepdiff, fastnumbers, jsonpath_ng, nums-from-string, odfpy, openpyxl, pandas, pyexiftool, pyxlsb, skia-python, xlrd. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-outputlists-combiner?

ComfyUI-outputlists-combiner 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-outputlists-combiner in ComfyUI?

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