Papcorns ComfyUI Custom Nodes

By papcornsView on GitHub →

A collection of custom nodes for ComfyUI that enhances image processing and cloud storage capabilities.

How much VRAM does Papcorns ComfyUI Custom Nodes require?

Direct Answer: The ComfyUI node Papcorns ComfyUI Custom Nodes 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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Deploy on Cloud GPUs

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What Python packages are required for Papcorns ComfyUI Custom Nodes?

Direct Answer: Running Papcorns ComfyUI Custom Nodes requires installing the following Python package dependencies: google-cloud-storage>=2.0.0, numpy>=1.21.0, pillow>=8.3.0, psutil>=5.9.0, pydub>=0.25.0, torch>=1.9.0. This node specifically requires PyTorch version 1.9.0 or newer.

requirements.txt
google-cloud-storage>=2.0.0
numpy>=1.21.0
pillow>=8.3.0
psutil>=5.9.0
pydub>=0.25.0
torch>=1.9.0

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 1.9.0+.

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:

ComfyUI Model Preset Pilot
by NewLouwa256MB VRAM
ComfyUI Replicate Image Generation & Edit
by charlyad142256MB VRAM
ComfyUI Silver Nodes
by SilverAndJade256MB VRAM
ComfyUI-NoiseGen
by eg0pr0xy128MB VRAM
ComfyUI-UniversalToolkit
by whmc761.5GB VRAM

Frequently Asked Questions

How much VRAM does Papcorns ComfyUI Custom Nodes require?

Papcorns ComfyUI Custom Nodes 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 Papcorns ComfyUI Custom Nodes 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 Papcorns ComfyUI Custom Nodes need?

Papcorns ComfyUI Custom Nodes requires the following PyTorch-related packages: torch>=1.9.0. 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 Papcorns ComfyUI Custom Nodes?

To run Papcorns ComfyUI Custom Nodes, you need to install: google-cloud-storage>=2.0.0, numpy>=1.21.0, pillow>=8.3.0, psutil>=5.9.0, pydub>=0.25.0, torch>=1.9.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Papcorns ComfyUI Custom Nodes?

Papcorns ComfyUI Custom Nodes 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 Papcorns ComfyUI Custom Nodes in ComfyUI?

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