ComfyUI-VertexAPI

Name: ComfyUI-VertexAPI
Author: Aryan185

A collection of powerful custom nodes for ComfyUI that connect your local workflows to closed-source AI models via their APIs, supporting Google Gemini, Imagen, Veo, OpenAI's GPT-Image-1, and FLUX models.

VRAM Requirements

Direct Answer: The ComfyUI node ComfyUI-VertexAPI requires a minimum base VRAM of 12288MB and is optimized for GPUs with at least 24GB of VRAM. Low VRAM mode is not supported for this node.

Extreme (>8GB)

Base VRAM:: 12288MB (12.0GB)
Recommended GPU:: 24GB+ VRAM
Low VRAM Mode:: ✗ Not 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-VertexAPI requires installing the following Python package dependencies: av, google-genai, numpy, pillow, torch, torchaudio. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt

av
google-genai
numpy
pillow
torch
torchaudio

🛠️ Interactive Setup & Dependency Resolver

Operating System:

Environment Type:

Run this terminal command in your ComfyUI root folder:

# Loading command...

Compatible Foundations

This node is verified to support or optimize workflows for the following foundation model families:

⚡ FLUX.1