ComfyUI Gemini Nodes

By jqy-yoView on GitHub →

A collection of custom nodes for integrating Google Gemini API with ComfyUI, providing powerful AI capabilities for text generation, image generation, and video analysis. Nodes: Gemini Text API, Gemini Image Editor, Gemini Image Gen Advanced, Gemini Video Captioner.

How much VRAM does ComfyUI Gemini Nodes require?

Direct Answer: The ComfyUI node ComfyUI Gemini Nodes requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not supported
Estimation Confidence:
MEDIUM

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 ComfyUI Gemini Nodes?

Direct Answer: Running ComfyUI Gemini Nodes requires installing the following Python package dependencies: aiohttp>=3.8.0, google-genai>=0.8.0, moviepy>=1.0.3, numpy>=1.24.0, opencv-python>=4.8.0, pillow>=10.0.0, torch>=2.0.0, tqdm>=4.65.0. This node specifically requires PyTorch version 2.0.0 or newer.

requirements.txt
aiohttp>=3.8.0
google-genai>=0.8.0
moviepy>=1.0.3
numpy>=1.24.0
opencv-python>=4.8.0
pillow>=10.0.0
torch>=2.0.0
tqdm>=4.65.0

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 2.0.0+.

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 Google AI Studio Integration
by joyboy1234564.0GB VRAM
ComfyUI-QwenVideo
by eddyhhlure1Eddy4.0GB VRAM
ComfyUI-TRELLIS2_Motion
by styletransfer4.0GB VRAM
ComfyUI-VideoQuality-Metrics
by jajos124.0GB VRAM
ComfyUI-ZeptaframePromptMerger
by Pablerdo4.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI Gemini Nodes require?

ComfyUI Gemini Nodes requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI Gemini Nodes on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

What PyTorch version does ComfyUI Gemini Nodes need?

ComfyUI Gemini Nodes 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 ComfyUI Gemini Nodes?

To run ComfyUI Gemini Nodes, you need to install: aiohttp>=3.8.0, google-genai>=0.8.0, moviepy>=1.0.3, numpy>=1.24.0, opencv-python>=4.8.0, pillow>=10.0.0, torch>=2.0.0, tqdm>=4.65.0. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI Gemini Nodes in ComfyUI?

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