ComfyUI-PixelOE-Wrapper

By A4P7J1N7M05OTView on GitHub →

A barebones ComfyUI wrapper for [a/PixelOE](https://github.com/KohakuBlueleaf/PixelOE). I cannot promise any support, if there is someone who wants to make a proper node, please do.

How much VRAM does ComfyUI-PixelOE-Wrapper require?

Direct Answer: The ComfyUI node ComfyUI-PixelOE-Wrapper 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 ComfyUI-PixelOE-Wrapper?

Direct Answer: Running ComfyUI-PixelOE-Wrapper requires installing the following Python package dependencies: numpy, opencv-python, torch. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
numpy
opencv-python
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:

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 ComfyUI-PixelOE-Wrapper require?

ComfyUI-PixelOE-Wrapper 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-PixelOE-Wrapper 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-PixelOE-Wrapper need?

ComfyUI-PixelOE-Wrapper 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-PixelOE-Wrapper?

To run ComfyUI-PixelOE-Wrapper, you need to install: numpy, opencv-python, torch. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-PixelOE-Wrapper?

ComfyUI-PixelOE-Wrapper 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-PixelOE-Wrapper in ComfyUI?

To install ComfyUI-PixelOE-Wrapper: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/A4P7J1N7M05OT/ComfyUI-PixelOE-Wrapper, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.