ComfyUI-PixydustQuantizer

By sousakujikkenView on GitHub →

Pixydust Quantizer is a custom node extension for ComfyUI that allows for the simplified recreation of tile patterns used in 1990s 16-color PC graphics, offering advanced color quantization and palette optimization features.Additionally, it includes a CRT-like effect node that mimics the phosphor glow and slight color bleeding of old CRT displays, adding a nostalgic aesthetic.With version 2.0.0, it now supports batch image processing, enabling efficient handling of video frames and image sequences.

How much VRAM does ComfyUI-PixydustQuantizer require?

Direct Answer: The ComfyUI node ComfyUI-PixydustQuantizer requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not 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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Deploy on Cloud GPUs

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What Python packages are required for ComfyUI-PixydustQuantizer?

Direct Answer: Running ComfyUI-PixydustQuantizer requires installing the following Python package dependencies: numpy, pillow, scikit-image, scikit-learn, scipy, torch. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
numpy
pillow
scikit-image
scikit-learn
scipy
torch

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

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Frequently Asked Questions

How much VRAM does ComfyUI-PixydustQuantizer require?

ComfyUI-PixydustQuantizer requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI-PixydustQuantizer on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

What PyTorch version does ComfyUI-PixydustQuantizer need?

ComfyUI-PixydustQuantizer 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-PixydustQuantizer?

To run ComfyUI-PixydustQuantizer, you need to install: numpy, pillow, scikit-image, scikit-learn, scipy, torch. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI-PixydustQuantizer in ComfyUI?

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