OpenRouter Node

By valofeyView on GitHub →

This is a node to use OpenRouter API from within ComfyUI. It supports both prompt and image+prompt requests (for multimodal LLMs).

How much VRAM does OpenRouter Node require?

Direct Answer: The ComfyUI node OpenRouter Node 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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What Python packages are required for OpenRouter Node?

Direct Answer: Running OpenRouter Node requires installing the following Python package dependencies: pillow==9.5.0 # For handling image processing tasks, requests==2.31.0 # For making HTTP requests to the API, torch==2.0.1 # For handling tensor operations and image data, torchvision==0.15.2 # For image transformation tools like ToPILImage. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
pillow==9.5.0             # For handling image processing tasks
requests==2.31.0          # For making HTTP requests to the API
torch==2.0.1              # For handling tensor operations and image data
torchvision==0.15.2       # For image transformation tools like ToPILImage

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 OpenRouter Node require?

OpenRouter Node 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 OpenRouter Node 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

What PyTorch version does OpenRouter Node need?

OpenRouter Node requires the following PyTorch-related packages: torch==2.0.1 # For handling tensor operations and image data, torchvision==0.15.2 # For image transformation tools like ToPILImage. 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 OpenRouter Node?

To run OpenRouter Node, you need to install: pillow==9.5.0 # For handling image processing tasks, requests==2.31.0 # For making HTTP requests to the API, torch==2.0.1 # For handling tensor operations and image data, torchvision==0.15.2 # For image transformation tools like ToPILImage. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running OpenRouter Node?

OpenRouter Node 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 OpenRouter Node in ComfyUI?

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