comfy_PoP

By picturesonpicturesView on GitHub →

A collection of custom nodes for ComfyUI. Includes a quick canny edge detection node with unconventional settings, simple LoRA stack nodes for workflow efficiency, and a customizable aspect ratio node.

How much VRAM does comfy_PoP require?

Direct Answer: The ComfyUI node comfy_PoP 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!

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 comfy_PoP?

Direct Answer: Running comfy_PoP requires installing the following Python package dependencies: numpy, openai, opencv-python, pillow, requests. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
numpy
openai
opencv-python
pillow
requests

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:

AUN ComfyUI Nodes
by loz27544.0GB VRAM
Advanced CLIP Text Encode
by BlenderNeko256MB VRAM
AniTalker-ComfyUI
by AIFSH128MB VRAM
AntiMatter Nodes
by AntiMatterComfy4.0GB VRAM
Arctenoxs-Essentials_ComfyUI
by Arctenox256MB VRAM

Frequently Asked Questions

How much VRAM does comfy_PoP require?

comfy_PoP 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 comfy_PoP 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 Python packages are required for comfy_PoP?

To run comfy_PoP, you need to install: numpy, openai, opencv-python, pillow, requests. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running comfy_PoP?

comfy_PoP 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 comfy_PoP in ComfyUI?

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