ComfyUI-CoCoTools_IO

By Conor-CollinsView on GitHub →

Advanced image input and output: EXR, 32 bit support and more

How much VRAM does ComfyUI-CoCoTools_IO require?

Direct Answer: The ComfyUI node ComfyUI-CoCoTools_IO 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-CoCoTools_IO?

Direct Answer: Running ComfyUI-CoCoTools_IO requires installing the following Python package dependencies: colour-science>=0.4.2, numpy>=1.21.0, opencv-python>=4.5.0, openimageio>=2.4.13.0, pillow>=9.0.0, rich>=10.0.0, tifffile, torch>=1.10.0. This node specifically requires PyTorch version 1.10.0 or newer.

requirements.txt
colour-science>=0.4.2
numpy>=1.21.0
opencv-python>=4.5.0
openimageio>=2.4.13.0
pillow>=9.0.0
rich>=10.0.0
tifffile
torch>=1.10.0

Interactive Setup & Dependency Resolver

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

Special Environment Requirements:

Requires PyTorch version 1.10.0+.

To update PyTorch for your selected setup, run:
# Loading PyTorch command...

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

ComfyUI-K3NKImageGrab
by K3NK34.0GB VRAM
ComfyUI-AbstractImaGen
by wakattac128MB VRAM
ComfyUI-AutoLabel
by fexploit256MB VRAM
APZmedia Fast Image Save Node
by APZmedia128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-CoCoTools_IO require?

ComfyUI-CoCoTools_IO 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-CoCoTools_IO 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 PyTorch version does ComfyUI-CoCoTools_IO need?

ComfyUI-CoCoTools_IO requires the following PyTorch-related packages: torch>=1.10.0. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).

What Python packages are required for ComfyUI-CoCoTools_IO?

To run ComfyUI-CoCoTools_IO, you need to install: colour-science>=0.4.2, numpy>=1.21.0, opencv-python>=4.5.0, openimageio>=2.4.13.0, pillow>=9.0.0, rich>=10.0.0, tifffile, torch>=1.10.0. You can install these using pip or add them to your requirements.txt file.

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

ComfyUI-CoCoTools_IO 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-CoCoTools_IO in ComfyUI?

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