ControlNet Auxiliar

By Cornea ValentinView on GitHub →

This ComfyUI custom node, named ControlNet Auxiliar, is designed to provide auxiliary functionalities for image processing tasks. It is particularly useful for various image manipulation and enhancement operations. The node is integrated with functionalities for converting images between different formats and applying various image processing techniques.

How much VRAM does ControlNet Auxiliar require?

Direct Answer: The ComfyUI node ControlNet Auxiliar requires a minimum base VRAM of 2048MB and is optimized for GPUs with at least 6GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
2048MB (2.0GB)
Recommended GPU:
6GB+ 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!

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What Python packages are required for ControlNet Auxiliar?

Direct Answer: Running ControlNet Auxiliar requires installing the following Python package dependencies: controlnet-aux==0.0.7, mediapipe, timm. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
controlnet-aux==0.0.7
mediapipe
timm

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:

ComfyUI Chill Easy Image Save
by megachill128MB VRAM
ComfyUI Gemini LiteLLM Nodes
by ZUENS2020128MB VRAM
ComfyUI Replicate Image Generation & Edit
by charlyad142256MB VRAM
ComfyUI TK3R Extensions
by TK3R2.0GB VRAM
ComfyUI Touchpad Scroll Controller
by joreyaesh256MB VRAM

Frequently Asked Questions

How much VRAM does ControlNet Auxiliar require?

ControlNet Auxiliar requires a minimum of 2048MB (2.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 6GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run ControlNet Auxiliar on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 12.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 19.6GB headroom

What Python packages are required for ControlNet Auxiliar?

To run ControlNet Auxiliar, you need to install: controlnet-aux==0.0.7, mediapipe, timm. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ControlNet Auxiliar?

ControlNet Auxiliar 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 ControlNet Auxiliar in ComfyUI?

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