nsfwrecog-comfyui

By goburiinView on GitHub →

Nodes:NSFW Detector

How much VRAM does nsfwrecog-comfyui require?

Direct Answer: The ComfyUI node nsfwrecog-comfyui 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!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

What Python packages are required for nsfwrecog-comfyui?

Direct Answer: Running nsfwrecog-comfyui requires installing the following Python package dependencies: certifi==2023.7.22, charset-normalizer==3.2.0, colorama==0.4.6, coloredlogs==15.0.1, contourpy==1.1.0, cycler==0.11.0, filelock==3.12.2, flatbuffers==23.5.26, fonttools==4.42.1, humanfriendly==10.0, idna==3.4, importlib-resources==6.0.1, jinja2==3.1.2, kiwisolver==1.4.4, markupsafe==2.1.3, matplotlib==3.7.2, mpmath==1.3.0, networkx==3.1, numpy==1.25.2, onnx==1.14.0, onnxruntime==1.15.1, onnxruntime-gpu, opencv-python==4.8.0.76, packaging==23.2, pandas==2.0.3, pillow==10.0.0, protobuf==3.20.3, psutil==5.9.5, py-cpuinfo==9.0.0, pyparsing==3.0.9, pyreadline3==3.4.1, python-dateutil==2.8.2, pytz==2023.3, pyyaml==6.0.1, requests==2.31.0, scipy==1.11.2, seaborn==0.12.2, six==1.16.0, sympy==1.12, tqdm==4.66.1, typing_extensions==4.8.0, tzdata==2023.3, ultralytics==8.0.158, urllib3==2.0.4, zipp==3.16.2. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
certifi==2023.7.22
charset-normalizer==3.2.0
colorama==0.4.6
coloredlogs==15.0.1
contourpy==1.1.0
cycler==0.11.0
filelock==3.12.2
flatbuffers==23.5.26
fonttools==4.42.1
humanfriendly==10.0
idna==3.4
importlib-resources==6.0.1
jinja2==3.1.2
kiwisolver==1.4.4
markupsafe==2.1.3
matplotlib==3.7.2
mpmath==1.3.0
networkx==3.1
numpy==1.25.2
onnx==1.14.0
onnxruntime==1.15.1
onnxruntime-gpu
opencv-python==4.8.0.76
packaging==23.2
pandas==2.0.3
pillow==10.0.0
protobuf==3.20.3
psutil==5.9.5
py-cpuinfo==9.0.0
pyparsing==3.0.9
pyreadline3==3.4.1
python-dateutil==2.8.2
pytz==2023.3
pyyaml==6.0.1
requests==2.31.0
scipy==1.11.2
seaborn==0.12.2
six==1.16.0
sympy==1.12
tqdm==4.66.1
typing_extensions==4.8.0
tzdata==2023.3
ultralytics==8.0.158
urllib3==2.0.4
zipp==3.16.2

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:

ComfyUI-Light-N-Color
by KAVVATARE128MB VRAM
4dgs-human-avatar-comfyui-nodes-dataset
by AndriiShramko4.0GB VRAM
AAA Metadata System
by EricRollei128MB VRAM
AMD Video Upscaler
by yasei-no-otoko3.0GB VRAM

Frequently Asked Questions

How much VRAM does nsfwrecog-comfyui require?

nsfwrecog-comfyui 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 nsfwrecog-comfyui 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 nsfwrecog-comfyui?

To run nsfwrecog-comfyui, you need to install: certifi==2023.7.22, charset-normalizer==3.2.0, colorama==0.4.6, coloredlogs==15.0.1, contourpy==1.1.0, cycler==0.11.0, filelock==3.12.2, flatbuffers==23.5.26, fonttools==4.42.1, humanfriendly==10.0, idna==3.4, importlib-resources==6.0.1, jinja2==3.1.2, kiwisolver==1.4.4, markupsafe==2.1.3, matplotlib==3.7.2, mpmath==1.3.0, networkx==3.1, numpy==1.25.2, onnx==1.14.0, onnxruntime==1.15.1, onnxruntime-gpu, opencv-python==4.8.0.76, packaging==23.2, pandas==2.0.3, pillow==10.0.0, protobuf==3.20.3, psutil==5.9.5, py-cpuinfo==9.0.0, pyparsing==3.0.9, pyreadline3==3.4.1, python-dateutil==2.8.2, pytz==2023.3, pyyaml==6.0.1, requests==2.31.0, scipy==1.11.2, seaborn==0.12.2, six==1.16.0, sympy==1.12, tqdm==4.66.1, typing_extensions==4.8.0, tzdata==2023.3, ultralytics==8.0.158, urllib3==2.0.4, zipp==3.16.2. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running nsfwrecog-comfyui?

nsfwrecog-comfyui 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 nsfwrecog-comfyui in ComfyUI?

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