ComfyUI Fast Mosaic Detector

By yanoView on GitHub →

High-speed and high-accuracy mosaic detection node for ComfyUI. Supports FAST, ACCURATE, and HYBRID modes with ROI refinement.

How much VRAM does ComfyUI Fast Mosaic Detector require?

Direct Answer: The ComfyUI node ComfyUI Fast Mosaic Detector 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 Fast Mosaic Detector?

Direct Answer: Running ComfyUI Fast Mosaic Detector requires installing the following Python package dependencies: ffmpeg-python>=0.2.0, numpy>=1.20.0, opencv-python>=4.5.0, pillow>=9.0.0, torch>=1.13.0, torchvision>=0.14.0. This node specifically requires PyTorch version 1.13.0 or newer.

requirements.txt
ffmpeg-python>=0.2.0
numpy>=1.20.0
opencv-python>=4.5.0
pillow>=9.0.0
torch>=1.13.0
torchvision>=0.14.0

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 1.13.0+.

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-MiniMax-Remover
by 1038lab128MB VRAM
ComfyUI-QwenVL-Utils
by AkihaTatsu256MB VRAM
ComfyUI_Wan
by ru4ls4.0GB VRAM
SJ_sweepEffect_Comfyui
by BEIBEI-star661128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI Fast Mosaic Detector require?

ComfyUI Fast Mosaic Detector 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 Fast Mosaic Detector 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 Fast Mosaic Detector need?

ComfyUI Fast Mosaic Detector requires the following PyTorch-related packages: torch>=1.13.0, torchvision>=0.14.0. 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 Fast Mosaic Detector?

To run ComfyUI Fast Mosaic Detector, you need to install: ffmpeg-python>=0.2.0, numpy>=1.20.0, opencv-python>=4.5.0, pillow>=9.0.0, torch>=1.13.0, torchvision>=0.14.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI Fast Mosaic Detector?

ComfyUI Fast Mosaic 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 Fast Mosaic Detector in ComfyUI?

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