ComfyUI LayerDivider
ComfyUI LayerDivider is custom nodes that generating layered psd files inside ComfyUI[w/Please follow readme and run install_windows_portable_win_py311_cu121 for ComfyUI embedded python.]
How much VRAM does ComfyUI LayerDivider require?
Direct Answer: The ComfyUI node ComfyUI LayerDivider 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.
- Base VRAM:
- 128MB (0.1GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
Interactive VRAM Compatibility Estimator
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 ComfyUI LayerDivider?
Direct Answer: Running ComfyUI LayerDivider requires installing the following Python package dependencies: onnx, opencv-python, pandas, scikit-image, scikit-learn, segment_anything. Ensure your ComfyUI environment has these packages active before launching.
onnx
opencv-python
pandas
scikit-image
scikit-learn
segment_anythingInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI LayerDivider require?
ComfyUI LayerDivider 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 LayerDivider 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 Python packages are required for ComfyUI LayerDivider?
To run ComfyUI LayerDivider, you need to install: onnx, opencv-python, pandas, scikit-image, scikit-learn, segment_anything. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI LayerDivider?
ComfyUI LayerDivider 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 LayerDivider in ComfyUI?
To install ComfyUI LayerDivider: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/jtydhr88/ComfyUI-LayerDivider, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.