ERPK Collection

By eRepublik-LabsView on GitHub →

A monorepo for ERPK's custom ComfyUI nodes, extending ComfyUI's functionality through integrations with various AI services and APIs.

How much VRAM does ERPK Collection require?

Direct Answer: The ComfyUI node ERPK Collection 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 ERPK Collection?

Direct Answer: Running ERPK Collection requires installing the following Python package dependencies: anthropic>=0.96.0, cryptography>=46.0.7, google-genai>=2.2.0, openai>=2.32.0, pillow>=12.2.0, pydantic>=2.0.0, requests>=2.33.0, urllib3>=2.7.0, xai-sdk>=1.14.0. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
anthropic>=0.96.0
cryptography>=46.0.7
google-genai>=2.2.0
openai>=2.32.0
pillow>=12.2.0
pydantic>=2.0.0
requests>=2.33.0
urllib3>=2.7.0
xai-sdk>=1.14.0

Interactive Setup & Dependency Resolver

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

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Frequently Asked Questions

How much VRAM does ERPK Collection require?

ERPK Collection 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 ERPK Collection 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 ERPK Collection?

To run ERPK Collection, you need to install: anthropic>=0.96.0, cryptography>=46.0.7, google-genai>=2.2.0, openai>=2.32.0, pillow>=12.2.0, pydantic>=2.0.0, requests>=2.33.0, urllib3>=2.7.0, xai-sdk>=1.14.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ERPK Collection?

ERPK Collection 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 ERPK Collection in ComfyUI?

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