comfyui_wfc_like

By bmad4everView on GitHub →

An 'opinionated' Wave Function Collapse implementation with a set of nodes for comfyui

How much VRAM does comfyui_wfc_like require?

Direct Answer: The ComfyUI node comfyui_wfc_like requires a minimum base VRAM of 512MB 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:
512MB (0.5GB)
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!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

What Python packages are required for comfyui_wfc_like?

Direct Answer: Running comfyui_wfc_like requires installing the following Python package dependencies: py_search. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
py_search

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Related Custom Nodes

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

ComfyUI-Bmad-DirtyUndoRedo
by bmad4ever128MB VRAM
Lists Cartesian Product
by bmad4ever128MB VRAM
comfyui_quasi_secure_load_image_url
by bmad4ever512MB VRAM
0x-jerry/Rembg Background Removal Node for ComfyUI
by 0x-jerry128MB VRAM

Frequently Asked Questions

How much VRAM does comfyui_wfc_like require?

comfyui_wfc_like requires a minimum of 512MB (0.5GB) 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_wfc_like on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.3GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.3GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 13.9GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.1GB headroom

What Python packages are required for comfyui_wfc_like?

To run comfyui_wfc_like, you need to install: py_search. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running comfyui_wfc_like?

comfyui_wfc_like 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_wfc_like in ComfyUI?

To install comfyui_wfc_like: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/bmad4ever/comfyui_wfc_like, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.