ComfyUI_CartoonSegmentation

By NlarView on GitHub →

Front end ComfyUI nodes for CartoonSegmentation Based upon the work of the CartoonSegmentation repository this project will provide a front end to some of the features.

How much VRAM does ComfyUI_CartoonSegmentation require?

Direct Answer: The ComfyUI node ComfyUI_CartoonSegmentation 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

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🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

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🚀 Deploy on RunPod

What Python packages are required for ComfyUI_CartoonSegmentation?

Direct Answer: Running ComfyUI_CartoonSegmentation requires installing the following Python package dependencies: aiohttp, albumentations==1.1.0, basicsr, cupy==12.3.0, einops, gomp, imageio, imgaug, mmcv==2.1.0, mmdet, moviepy, numba, omegaconf, onnxruntime, pandas, panopticapi@ git+https://github.com/cocodataset/panopticapi.git, psutil, pydensecrf@ git+https://github.com/lucasb-eyer/pydensecrf.git, pytorch_lightning, safetensors, scipy, timm==0.6.7, torch==2.1.1 --index-url https://download.pytorch.org/whl/cu118, torchaudio==2.1.1 --index-url https://download.pytorch.org/whl/cu118, torchsde, torchvision==0.16.1 --index-url https://download.pytorch.org/whl/cu118, transformers, wheel==0.42.0. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
aiohttp
albumentations==1.1.0
basicsr
cupy==12.3.0
einops
gomp
imageio
imgaug
mmcv==2.1.0
mmdet
moviepy
numba
omegaconf
onnxruntime
pandas
panopticapi@ git+https://github.com/cocodataset/panopticapi.git
psutil
pydensecrf@ git+https://github.com/lucasb-eyer/pydensecrf.git
pytorch_lightning
safetensors
scipy
timm==0.6.7
torch==2.1.1 --index-url https://download.pytorch.org/whl/cu118
torchaudio==2.1.1 --index-url https://download.pytorch.org/whl/cu118
torchsde
torchvision==0.16.1 --index-url https://download.pytorch.org/whl/cu118
transformers
wheel==0.42.0

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:

AMD Video Upscaler
by yasei-no-otoko3.0GB VRAM
Bit Depth Enhancer
by subraoul128MB VRAM
ComfyUI Bringing Old Photos Back to Life
by cdb-boop128MB VRAM
ComfyUI PixelArt Detector
by dimtoneff3.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI_CartoonSegmentation require?

ComfyUI_CartoonSegmentation 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_CartoonSegmentation 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 PyTorch version does ComfyUI_CartoonSegmentation need?

ComfyUI_CartoonSegmentation requires the following PyTorch-related packages: pytorch_lightning, torch==2.1.1 --index-url https://download.pytorch.org/whl/cu118, torchaudio==2.1.1 --index-url https://download.pytorch.org/whl/cu118, torchsde, torchvision==0.16.1 --index-url https://download.pytorch.org/whl/cu118. Ensure your ComfyUI environment has these installed. CUDA 11.8 is required. Compatible with RTX 2000 and 3000 series GPUs.

What Python packages are required for ComfyUI_CartoonSegmentation?

To run ComfyUI_CartoonSegmentation, you need to install: aiohttp, albumentations==1.1.0, basicsr, cupy==12.3.0, einops, gomp, imageio, imgaug, mmcv==2.1.0, mmdet, moviepy, numba, omegaconf, onnxruntime, pandas, panopticapi@ git+https://github.com/cocodataset/panopticapi.git, psutil, pydensecrf@ git+https://github.com/lucasb-eyer/pydensecrf.git, pytorch_lightning, safetensors, scipy, timm==0.6.7, torch==2.1.1 --index-url https://download.pytorch.org/whl/cu118, torchaudio==2.1.1 --index-url https://download.pytorch.org/whl/cu118, torchsde, torchvision==0.16.1 --index-url https://download.pytorch.org/whl/cu118, transformers, wheel==0.42.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI_CartoonSegmentation?

ComfyUI_CartoonSegmentation 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_CartoonSegmentation in ComfyUI?

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