GeminiBanana for ComfyUI

By PenguinTeoView on GitHub →

GeminiBanana is a custom node for ComfyUI based on the Gemini API. It allows you to call Gemini inside ComfyUI workflows to generate text, parse images, or perform multimodal interactions, greatly enhancing workflow automation and creative capabilities.

How much VRAM does GeminiBanana for ComfyUI require?

Direct Answer: The ComfyUI node GeminiBanana for ComfyUI 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!

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 GeminiBanana for ComfyUI?

Direct Answer: Running GeminiBanana for ComfyUI requires installing the following Python package dependencies: google-genai＞=1.52.0. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
google-genai＞=1.52.0

Interactive Setup & Dependency Resolver

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

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

Anima Edit LoRA
by wochenlong128MB VRAM
Comfy Nano Banana
by darkamenosa256MB VRAM
ComfyUI HiTem3D Integration
by GeekatplayStudio256MB VRAM
ComfyUI Image Picker
by TechnoWarrior2128MB VRAM
ComfyUI Pets
by nathannlu128MB VRAM

Frequently Asked Questions

How much VRAM does GeminiBanana for ComfyUI require?

GeminiBanana for ComfyUI 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 GeminiBanana for ComfyUI 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 Python packages are required for GeminiBanana for ComfyUI?

To run GeminiBanana for ComfyUI, you need to install: google-genai＞=1.52.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running GeminiBanana for ComfyUI?

GeminiBanana for ComfyUI 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 GeminiBanana for ComfyUI in ComfyUI?

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