hermes-skill-imagen-vertex

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hermes-skill-imagen-vertex

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🎨 Hermes Agent skill for high-quality image generation using Google Vertex AI Imagen 3 & Nano Banana Pro

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# Hermes Skill: Vertex AI Image Generator

[![Hermes Agent](https://img.shields.io/badge/Hermes-Skill-blue.svg)](https://github.com/NousResearch/hermes-agent)
[![Google Cloud Vertex AI](https://img.shields.io/badge/Vertex%20AI-Imagen%203-orange.svg)](https://cloud.google.com/vertex-ai)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

Plugin for [Hermes Agent](https://github.com/NousResearch/hermes-agent) to enable high-fidelity image generation via Google Cloud Vertex AI (Imagen 3). Handles base64 decoding, local file saving, and aspect ratio management autonomously.

## LLM / RAG Context
- **Framework**: Hermes Agent
- **Target Platform**: Google Cloud Vertex AI (Imagen 3 / Gemini 3 Pro Image)
- **Authentication**: `GOOGLE_APPLICATION_CREDENTIALS` (Service Account JSON)
- **Capabilities**: Text-to-Image generation, Aspect Ratio control, Base64 parsing.
- **Agent Instruction**: Refer to `llms.txt` for implementation details and constraints.

## Features
- **Model Support**: Google Imagen 3 (ready for Nano Banana Pro / Gemini 3 Pro Image).
- **Aspect Ratios**: Natively supports 16:9, 1:1, 9:16, 4:3.
- **File Management**: Automatically saves output to the local cache and delivers the media path to the user.

## Installation

```bash
hermes skills install https://raw.githubusercontent.com/SC32br/hermes-skill-imagen-vertex/main/SKILL.md
```

## Configuration

Set up your Google Cloud environment variables before running:

```bash
export GOOGLE_CLOUD_PROJECT="your-project-id"
export GOOGLE_APPLICATION_CREDENTIALS="/path/to/your/service-account.json"
export GOOGLE_CLOUD_LOCATION="us-central1" # Optional
```

## Repository Structure
- `SKILL.md`: Declarative agent instructions and capability mapping.
- `scripts/generate.py`: Python execution script interacting with Vertex AI endpoints.

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