ComfyUI PixelArt Detector

By dimtoneffView on GitHub →

This node manipulates the pixel art image in ways that it should look pixel perfect (downscales, changes palette, upscales etc.).

How much VRAM does ComfyUI PixelArt Detector require?

Direct Answer: The ComfyUI node ComfyUI PixelArt Detector requires a minimum base VRAM of 3072MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

Very High (4-8GB)
Base VRAM:
3072MB (3.0GB)
Recommended GPU:
8GB+ 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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What Python packages are required for ComfyUI PixelArt Detector?

Direct Answer: Running ComfyUI PixelArt Detector requires installing the following Python package dependencies: numpy>=1.25.0, opencv-python>=4.8.0, pillow, pyclustering>=0.10.1, scipy>=1.11.3, torch. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
numpy>=1.25.0
opencv-python>=4.8.0
pillow
pyclustering>=0.10.1
scipy>=1.11.3
torch

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
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Bit Depth Enhancer
by subraoul128MB VRAM
ComfyUI Bringing Old Photos Back to Life
by cdb-boop128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI PixelArt Detector require?

ComfyUI PixelArt Detector requires a minimum of 3072MB (3.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run ComfyUI PixelArt Detector on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 7.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 7.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 11.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 18.6GB headroom

What PyTorch version does ComfyUI PixelArt Detector need?

ComfyUI PixelArt Detector requires the following PyTorch-related packages: torch. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).

What Python packages are required for ComfyUI PixelArt Detector?

To run ComfyUI PixelArt Detector, you need to install: numpy>=1.25.0, opencv-python>=4.8.0, pillow, pyclustering>=0.10.1, scipy>=1.11.3, torch. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI PixelArt Detector?

ComfyUI PixelArt Detector 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 PixelArt Detector in ComfyUI?

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