OpenRouter Node
This is a node to use OpenRouter API from within ComfyUI. It supports both prompt and image+prompt requests (for multimodal LLMs).
Quick Technical Summary: OpenRouter Node
- Base VRAM Footprint:
- 256 MB (4 GB Tier)
- Primary 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
- Min PyTorch / CUDA:
- PyTorch 2.0+ | CUDA 12.1+
- GitHub Repository:
- https://github.com/valofey/Openrouter-Node
Citation Note: Data sourced from VRAM DB. For complete workflow OOM estimations, use the VRAM DB Workflow Analyzer.
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.
- Base VRAM:
- 256MB (0.3GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- HIGH
Cheapest VRAM Upgrade Paths (Live Market Prices):
- GeForce RTX 3060 12GB (Ultimate Budget VRAM King)──► Used: $209.62View eBay ↗
- GeForce RTX 4060 8GB (Modern Entry-Level)──► New: $303.50View Amazon ↗
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
Verify Compatibility for Your Specific GPU VRAM
Select your graphics card's VRAM capacity to view optimized batch sizes, suggested resolutions, and custom performance tips for OpenRouter Node:
Buy NVIDIA GeForce RTX 3060 (12GB VRAM)
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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.
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 ToPILImageInteractive Setup & Dependency Resolver
# Loading command...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
How much VRAM does OpenRouter Node take on an RTX 3060 vs RTX 4090?
On an RTX 3060 (12GB VRAM), OpenRouter Node runs smoothly on an RTX 3060 (12GB) with 10.6GB of headroom. This is sufficient to run the node alongside standard SD 1.5 and SDXL workflows in full precision. On an RTX 4090 (24GB VRAM), the node runs with extreme headroom on an RTX 4090 (24GB) with 21.4GB of dedicated headroom. This allows you to combine the node with massive models (like FLUX.1 Dev, Schnell, or Hunyuan Video) in full precision (FP16) without any offload flags.
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.