ComfyUI_LayerStyle_Advance
The nodes detached from ComfyUI Layer Style are mainly those with complex requirements for dependency packages.
How much VRAM does ComfyUI_LayerStyle_Advance require?
Direct Answer: The ComfyUI node ComfyUI_LayerStyle_Advance 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_LayerStyle_Advance?
Direct Answer: Running ComfyUI_LayerStyle_Advance requires installing the following Python package dependencies: accelerate>=0.26.0, addict, bitsandbytes>=0.41.1, blend_modes, blind-watermark, colour-science, diffusers, fastapi, fastapi, google-genai>=1.5.0, google-generativeai, huggingface_hub>=0.23.4, hydra-core, iopath, loguru, matplotlib, mediapipe, numpy, omegaconf, onnxruntime, openai, opencv-contrib-python, peft>=0.12.0, pillow>=10.1.0, protobuf, psd-tools, pymatting, pyzbar, qrcode, rich, scikit_image, scikit_learn, segment_anything, timm, transformers>=4.45.0, transparent-background, typer-config, typer_config, ultralytics>=8.2.0, wget, yapf, zhipuai. Ensure your ComfyUI environment has these packages active before launching.
accelerate>=0.26.0
addict
bitsandbytes>=0.41.1
blend_modes
blind-watermark
colour-science
diffusers
fastapi
fastapi
google-genai>=1.5.0
google-generativeai
huggingface_hub>=0.23.4
hydra-core
iopath
loguru
matplotlib
mediapipe
numpy
omegaconf
onnxruntime
openai
opencv-contrib-python
peft>=0.12.0
pillow>=10.1.0
protobuf
psd-tools
pymatting
pyzbar
qrcode
rich
scikit_image
scikit_learn
segment_anything
timm
transformers>=4.45.0
transparent-background
typer-config
typer_config
ultralytics>=8.2.0
wget
yapf
zhipuaiInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI_LayerStyle_Advance require?
ComfyUI_LayerStyle_Advance 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_LayerStyle_Advance 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_LayerStyle_Advance?
To run ComfyUI_LayerStyle_Advance, you need to install: accelerate>=0.26.0, addict, bitsandbytes>=0.41.1, blend_modes, blind-watermark, colour-science, diffusers, fastapi, fastapi, google-genai>=1.5.0, google-generativeai, huggingface_hub>=0.23.4, hydra-core, iopath, loguru, matplotlib, mediapipe, numpy, omegaconf, onnxruntime, openai, opencv-contrib-python, peft>=0.12.0, pillow>=10.1.0, protobuf, psd-tools, pymatting, pyzbar, qrcode, rich, scikit_image, scikit_learn, segment_anything, timm, transformers>=4.45.0, transparent-background, typer-config, typer_config, ultralytics>=8.2.0, wget, yapf, zhipuai. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI_LayerStyle_Advance?
ComfyUI_LayerStyle_Advance 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_LayerStyle_Advance in ComfyUI?
To install ComfyUI_LayerStyle_Advance: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/chflame163/ComfyUI_LayerStyle_Advance, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.