ComfyUI-Wanify: Adaptive Image Resize Node

This custom node for ComfyUI provides adaptive image resizing based on target pixel counts, maintaining aspect ratio and supporting different quality levels. It is useful for workflows that require images to fit within specific pixel budgets (e.g., for video, AI models, or memory constraints).

How much VRAM does ComfyUI-Wanify: Adaptive Image Resize Node require?

Direct Answer: The ComfyUI node ComfyUI-Wanify: Adaptive Image Resize Node requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not 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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Frequently Asked Questions

How much VRAM does ComfyUI-Wanify: Adaptive Image Resize Node require?

ComfyUI-Wanify: Adaptive Image Resize Node requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI-Wanify: Adaptive Image Resize Node on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

How do I install ComfyUI-Wanify: Adaptive Image Resize Node in ComfyUI?

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