Pending: Which Nano Banana model/tier to use (free vs Pro)?
Pending: Use via Gemini API directly or through a wrapper?
Pending: What are the primary feature requests (vault illustrations, social media, personal)?
User Tasks
Summary
Integrate Google’s Nano Banana (Gemini image generation) into Opus for creating and editing images from text prompts.
Problem / Motivation
Currently no image generation capability exists in Opus. Nano Banana (Google’s Gemini-powered image model) offers text-to-image generation and chat-based image editing, which could be useful for creating visuals, illustrations, or creative content.
Proposed Solution
Integrate the Nano Banana / Gemini image generation API into Opus, either as a skill, a standalone script, or an MCP tool — enabling image creation from text prompts within the workflow.
Open Questions
1. Access Method
Question: How should we access Nano Banana?
Option
Description
A) Gemini API (recommended)
Direct API integration via Google’s Gemini API with Nano Banana 2 model
B) Pixlr / third-party wrapper
Use a third-party service that wraps Nano Banana
C) MCP server
Build or use an MCP server for image generation
Recommendation: Option A — direct API gives most control and is free-tier friendly.
Decision:
2. Primary Feature Requests
Question: What will we mainly use image generation for?
Option
Description
A) Personal creative projects
Wallpapers, social media, fun
B) Vault illustrations
Generate visuals for vault notes
C) Photo editing
Edit existing photos with AI
D) All of the above
Full integration
Decision:
Phase Overview
Phase
Description
Status
Phase 1
API setup and basic text-to-image generation
—
Phase 2
Image editing and advanced features
—
Phase 3
Opus integration (skill/MCP)
—
Phase 1: API Setup & Basic Generation —
Goal: Get Nano Banana working with a simple Python script that generates images from text prompts.