ComfyUI_FFT

By fssorcView on GitHub →

Perform a Fast Fourier Transform on the image, and then users can freely select the filtering range to filter the image. The main function is to remove the grid patterns on the image, and it can also perform high-pass filtering and low-pass filtering. The detailed workflow is shown in the figure below. The PNG file contains the ComfyUI workflow.The working principle is similar to the FFT filter in Photoshop.

How much VRAM does ComfyUI_FFT require?

Direct Answer: The ComfyUI node ComfyUI_FFT 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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Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

A3D ComfyUI Integration
by n0neye256MB VRAM
AC ComfyUI Queue Manager
by abdullahceylan256MB VRAM
ACE-Step-ComfyUI
by ace-step1.5GB VRAM
AIV ComfyUI Node
by bbtaivi128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI_FFT require?

ComfyUI_FFT 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_FFT 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

How can I reduce VRAM usage when running ComfyUI_FFT?

ComfyUI_FFT 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_FFT in ComfyUI?

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