comfyui_region_uv_metadata

By csonxxView on GitHub →

Nodes for identifying target regions in images, extracting UV vertices, and writing metadata with preview generation. (Description by CC)

How much VRAM does comfyui_region_uv_metadata require?

Direct Answer: The ComfyUI node comfyui_region_uv_metadata requires a minimum base VRAM of 256MB 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:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

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_region_uv_metadata?

Direct Answer: Running comfyui_region_uv_metadata requires installing the following Python package dependencies: numpy, opencv-python, pillow, torch, transformers>=4.57.1. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
numpy
opencv-python
pillow
torch
transformers>=4.57.1

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_region_uv_metadata require?

comfyui_region_uv_metadata requires a minimum of 256MB (0.3GB) 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_region_uv_metadata on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom

What PyTorch version does comfyui_region_uv_metadata need?

comfyui_region_uv_metadata 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_region_uv_metadata?

To run comfyui_region_uv_metadata, you need to install: numpy, opencv-python, pillow, torch, transformers>=4.57.1. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running comfyui_region_uv_metadata?

comfyui_region_uv_metadata 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_region_uv_metadata in ComfyUI?

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