ComfyUI Level Pixel

By LevelPixelView on GitHub →

Main nodes of the Level Pixel company (aka levelpixel, LP). Includes convenient nodes for working with images from folders; counting files in a folder; cleaning memory; tag filters. Model Unloader, LLM Unloader, Free memory, Tag Filters, Tag Category Filters, Tag Choice Parser, File counter, Image Loader From Path (with counters), Image Remove Background based on RemBG, Autotagger.

How much VRAM does ComfyUI Level Pixel require?

Direct Answer: The ComfyUI node ComfyUI Level Pixel 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!

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What Python packages are required for ComfyUI Level Pixel?

Direct Answer: Running ComfyUI Level Pixel requires installing the following Python package dependencies: deep_translator>=1.11.4, langdetect, matplotlib, numpy, python-dotenv>=1.0.0, requests>=2.28.0, torch>=2.0.1, wordninja. This node specifically requires PyTorch version 2.0.1 or newer.

requirements.txt
deep_translator>=1.11.4
langdetect
matplotlib
numpy
python-dotenv>=1.0.0
requests>=2.28.0
torch>=2.0.1
wordninja

Interactive Setup & Dependency Resolver

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

Special Environment Requirements:

Requires PyTorch version 2.0.1+.

To update PyTorch for your selected setup, run:
# Loading PyTorch command...

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

ComfyUI Level Pixel Advanced
by LevelPixel128MB VRAM
ComfyUI DreamLight Node
by APZmedia128MB VRAM
ComfyUI-Qwen-VL
by SXQBW4.0GB VRAM
Marigold depth estimation in ComfyUI
by kijai128MB VRAM
VLM_nodes
by gokayfem256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI Level Pixel require?

ComfyUI Level Pixel 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 Level Pixel 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 Level Pixel need?

ComfyUI Level Pixel requires the following PyTorch-related packages: torch>=2.0.1. 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 Level Pixel?

To run ComfyUI Level Pixel, you need to install: deep_translator>=1.11.4, langdetect, matplotlib, numpy, python-dotenv>=1.0.0, requests>=2.28.0, torch>=2.0.1, wordninja. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI Level Pixel?

ComfyUI Level Pixel 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 Level Pixel in ComfyUI?

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