ComfyUI-IG2MV

By hunzmusicView on GitHub →

This custom node package provides nodes specifically for using the mvadapter_ig2mv_sdxl.safetensors adapter within ComfyUI. This adapter is designed for image-guided multi-view generation, typically used for creating textures from 3D mesh renders (position and normal maps).

How much VRAM does ComfyUI-IG2MV require?

Direct Answer: The ComfyUI node ComfyUI-IG2MV requires a minimum base VRAM of 8192MB and is optimized for GPUs with at least 12GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
8192MB (8.0GB)
Recommended GPU:
12GB+ VRAM
Low VRAM Mode:
✗ Not 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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Frequently Asked Questions

How much VRAM does ComfyUI-IG2MV require?

ComfyUI-IG2MV requires a minimum of 8192MB (8.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 12GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI-IG2MV on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 2.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 2.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 6.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 13.6GB headroom

How do I install ComfyUI-IG2MV in ComfyUI?

To install ComfyUI-IG2MV: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/hunzmusic/ComfyUI-IG2MV, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.