LNL Frame Selector

By Late Night LabsView on GitHub →

Frame Selector & Sequence Selection Node for ComfyUI.

How much VRAM does LNL Frame Selector require?

Direct Answer: The ComfyUI node LNL Frame Selector requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not 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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Deploy on Cloud GPUs

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What Python packages are required for LNL Frame Selector?

Direct Answer: Running LNL Frame Selector requires installing the following Python package dependencies: imageio-ffmpeg~=0.6.0, opencv-python~=4.12.0, pillow>=9.1.0. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
imageio-ffmpeg~=0.6.0
opencv-python~=4.12.0
pillow>=9.1.0

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:

APZmedia Fast Image Save Node
by APZmedia128MB VRAM
ComfyUI Fisheye Effects Nodes
by Kidev256MB VRAM
ComfyUI Temporal Mask Tools
by nomadoor256MB VRAM

Frequently Asked Questions

How much VRAM does LNL Frame Selector require?

LNL Frame Selector requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run LNL Frame Selector on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

What Python packages are required for LNL Frame Selector?

To run LNL Frame Selector, you need to install: imageio-ffmpeg~=0.6.0, opencv-python~=4.12.0, pillow>=9.1.0. You can install these using pip or add them to your requirements.txt file.

How do I install LNL Frame Selector in ComfyUI?

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