Comfy Nano Banana
Google Gemini API integration for ComfyUI - Generate images and text using Google's latest AI models. Provides nodes for Gemini API interactions and batch image processing.
How much VRAM does Comfy Nano Banana require?
Direct Answer: The ComfyUI node Comfy Nano Banana 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
Interactive VRAM Compatibility Estimator
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 Comfy Nano Banana?
Direct Answer: Running Comfy Nano Banana requires installing the following Python package dependencies: google-genai>=1.62.0, numpy>=1.24.0, pillow>=10.0.0, torch>=2.0.0. This node specifically requires PyTorch version 2.0.0 or newer.
google-genai>=1.62.0
numpy>=1.24.0
pillow>=10.0.0
torch>=2.0.0Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.0.0+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does Comfy Nano Banana require?
Comfy Nano Banana 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 Comfy Nano Banana 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 Comfy Nano Banana need?
Comfy Nano Banana requires the following PyTorch-related packages: torch>=2.0.0. 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 Comfy Nano Banana?
To run Comfy Nano Banana, you need to install: google-genai>=1.62.0, numpy>=1.24.0, pillow>=10.0.0, torch>=2.0.0. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running Comfy Nano Banana?
Comfy Nano Banana 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 Comfy Nano Banana in ComfyUI?
To install Comfy Nano Banana: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/darkamenosa/comfy_nanobanana, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.