ComfyUI - P2LDGAN Node

By jamesWalker55View on GitHub →

Nodes: P2LDGAN. This integrates P2LDGAN into ComfyUI. P2LDGAN extracts lineart from input images. [w/To use this extension, you need to download the [a/p2ldgan model](https://drive.google.com/file/d/1To4V_Btc3QhCLBWZ0PdSNgC1cbm3isHP) and save it in the %%ComfyUI/custom_nodes/comfyui-p2ldgan/checkpoints%% directory.]

How much VRAM does ComfyUI - P2LDGAN Node require?

Direct Answer: The ComfyUI node ComfyUI - P2LDGAN Node 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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Frequently Asked Questions

How much VRAM does ComfyUI - P2LDGAN Node require?

ComfyUI - P2LDGAN Node 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 ComfyUI - P2LDGAN Node 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

How can I reduce VRAM usage when running ComfyUI - P2LDGAN Node?

ComfyUI - P2LDGAN Node 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 - P2LDGAN Node in ComfyUI?

To install ComfyUI - P2LDGAN Node: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/jamesWalker55/comfyui-p2ldgan, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.