Comfyui-Nanobanana-API

By ZeknesView on GitHub →

ComfyUI custom node for Gemini image generation via OpenRouter API, supporting text prompts and multiple image inputs (up to 4 images) with automatic saving to output directory. (Description by CC)

How much VRAM does Comfyui-Nanobanana-API require?

Direct Answer: The ComfyUI node Comfyui-Nanobanana-API 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 Comfyui-Nanobanana-API?

Direct Answer: Running Comfyui-Nanobanana-API requires installing the following Python package dependencies: httpx>=0.24.0, httpx, numpy>=1.21.0, openai>=1.0.0, pillow>=9.0.0, torch>=1.9.0. This node specifically requires PyTorch version 1.9.0 or newer.

requirements.txt
httpx>=0.24.0
httpx
numpy>=1.21.0
openai>=1.0.0
pillow>=9.0.0
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 API Image Edit
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ComfyUI ASCII Generator Node
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ComfyUI ASDF Pixel Sort Nodes
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ComfyUI HTTP - REST API Nodes
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ComfyUI Load Image From URL
by papcorns128MB VRAM

Frequently Asked Questions

How much VRAM does Comfyui-Nanobanana-API require?

Comfyui-Nanobanana-API 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 Comfyui-Nanobanana-API 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 Comfyui-Nanobanana-API need?

Comfyui-Nanobanana-API 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 Comfyui-Nanobanana-API?

To run Comfyui-Nanobanana-API, you need to install: httpx>=0.24.0, httpx, numpy>=1.21.0, openai>=1.0.0, pillow>=9.0.0, 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 Comfyui-Nanobanana-API?

Comfyui-Nanobanana-API 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 Comfyui-Nanobanana-API in ComfyUI?

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