ComfyUI-JM-Gemini-API

Name: ComfyUI-JM-Gemini-API
Author: synthetai

A custom node for ComfyUI that generates images using Google's Gemini API, supporting both text-to-image and image-to-image generation.

VRAM Requirements

Direct Answer: The ComfyUI node ComfyUI-JM-Gemini-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

1. Your GPU VRAM:

2. Base Model Weight:

3. Target Resolution:

4. ComfyUI Optimization launch argument:

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

Python Dependencies

Direct Answer: Running ComfyUI-JM-Gemini-API requires installing the following Python package dependencies: google-api-core>=2.25.0, google-auth>=2.40.0, google-auth-httplib2>=0.2.0, google-genai==1.52.0, googleapis-common-protos>=1.70.0, httpx, numpy, pillow>=10.0.0, torch, torchvision. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt

google-api-core>=2.25.0
google-auth>=2.40.0
google-auth-httplib2>=0.2.0
google-genai==1.52.0
googleapis-common-protos>=1.70.0
httpx
numpy
pillow>=10.0.0
torch
torchvision

🛠️ Interactive Setup & Dependency Resolver

Operating System:

Environment Type:

Run this terminal command in your ComfyUI root folder:

# Loading command...