comfyui-find-perfect-resolution

By ashtar1984View on GitHub →

This custom ComfyUI node, Find Perfect Resolution, calculates an optimal output resolution for an input image while preserving its aspect ratio and ensuring dimensions are divisible by a specified value. It is designed to work seamlessly in ComfyUI workflows, particularly for resizing images with nodes like 'Resize Image v2'.

How much VRAM does comfyui-find-perfect-resolution require?

Direct Answer: The ComfyUI node comfyui-find-perfect-resolution 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-find-perfect-resolution?

Direct Answer: Running comfyui-find-perfect-resolution requires installing the following Python package dependencies: pillow>=9.0.0, torch>=2.0.0. This node specifically requires PyTorch version 2.0.0 or newer.

requirements.txt
pillow>=9.0.0
torch>=2.0.0

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 2.0.0+.

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:

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Comfy Nano Banana
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ComfyUI DP Dynamic Random Styler
by DesertPixelAi256MB VRAM
ComfyUI DP Ideogram Character Node
by DesertPixelAi128MB VRAM

Frequently Asked Questions

How much VRAM does comfyui-find-perfect-resolution require?

comfyui-find-perfect-resolution 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-find-perfect-resolution 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-find-perfect-resolution need?

comfyui-find-perfect-resolution requires the following PyTorch-related packages: torch>=2.0.0. 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-find-perfect-resolution?

To run comfyui-find-perfect-resolution, you need to install: pillow>=9.0.0, torch>=2.0.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running comfyui-find-perfect-resolution?

comfyui-find-perfect-resolution 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-find-perfect-resolution in ComfyUI?

To install comfyui-find-perfect-resolution: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/ashtar1984/comfyui-find-perfect-resolution, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.