Comfy Contact Sheet Image Loader

By Ben StanifordView on GitHub →

A ComfyUI custom node for loading images from a contact sheet of recent files

How much VRAM does Comfy Contact Sheet Image Loader require?

Direct Answer: The ComfyUI node Comfy Contact Sheet Image Loader requires a minimum base VRAM of 128MB 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:
128MB (0.1GB)
Recommended GPU:
4GB+ 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 Comfy Contact Sheet Image Loader?

Direct Answer: Running Comfy Contact Sheet Image Loader requires installing the following Python package dependencies: numpy>=1.21.0, opencv-python>=4.5.0, pillow>=9.0.0, torch>=1.13.0, torchvision>=0.14.0. This node specifically requires PyTorch version 1.13.0 or newer.

requirements.txt
numpy>=1.21.0
opencv-python>=4.5.0
pillow>=9.0.0
torch>=1.13.0
torchvision>=0.14.0

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 1.13.0+.

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_Wan
by ru4ls4.0GB VRAM
ComfyUI Fast Mosaic Detector
by yano128MB VRAM
ComfyUI-Image-Segmenting-Loader
by GeekyGhost256MB VRAM
ComfyUI-MiniMax-Remover
by 1038lab128MB VRAM
ComfyUI-QwenVL-Utils
by AkihaTatsu256MB VRAM

Frequently Asked Questions

How much VRAM does Comfy Contact Sheet Image Loader require?

Comfy Contact Sheet Image Loader requires a minimum of 128MB (0.1GB) 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 Comfy Contact Sheet Image Loader on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom

What PyTorch version does Comfy Contact Sheet Image Loader need?

Comfy Contact Sheet Image Loader requires the following PyTorch-related packages: torch>=1.13.0, torchvision>=0.14.0. 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 Comfy Contact Sheet Image Loader?

To run Comfy Contact Sheet Image Loader, you need to install: numpy>=1.21.0, opencv-python>=4.5.0, pillow>=9.0.0, torch>=1.13.0, torchvision>=0.14.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Comfy Contact Sheet Image Loader?

Comfy Contact Sheet Image Loader 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 Comfy Contact Sheet Image Loader in ComfyUI?

To install Comfy Contact Sheet Image Loader: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/benstaniford/comfy-contact-sheet-image-loader, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.