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nano-banana-pro-openrouter — GitHub Copilot skill

Generates and edits images through OpenRouter with Gemini 3 Pro Image. Use it for text-to-image work, file edits, and multi-image compositions.

Install into GitHub Copilot · Skills CLI (Vercel) All methods and platforms ↓ 
npx skills add github/awesome-copilot --skill nano-banana-pro-openrouter
Open on GitHub

What nano-banana-pro-openrouter does

This skill runs scripts/generate_image.py with uv and sends requests to google/gemini-3-pro-image-preview. It can create an image from a prompt, alter one source image, or combine several files into one composition. Output supports 1K, 2K, and 4K; the default is 1K.

You can pass up to 3 files by repeating --input-image. --filename accepts relative and absolute paths, while multiple returned images get -1, -2, and similar suffixes. The script prints each saved result as MEDIA: .

The skill requires uv and OPENROUTER_API_KEY. Its image-generation behaviour can be adjusted in assets/SYSTEM_TEMPLATE. Install it if your image workflow already uses OpenRouter; it will not run without an API key.

What it helps with

  • generate an image from a text prompt
  • replace a background or detail in an input image
  • combine up to 3 images into one portrait
  • save output to a relative or absolute path
  • choose 1K, 2K, or 4K output

Example prompts for the agent

  • Create an image of snow-capped mountains at sunset and save it as `sunset.png`.
  • Replace the sky in `input.jpg` with an aurora and write the result to `aurora.png`.
  • Combine `face1.jpg` and `face2.jpg` into a studio portrait at `2K` resolution.

How to install nano-banana-pro-openrouter

1Skills CLI (Vercel)

npx skills add github/awesome-copilot --skill nano-banana-pro-openrouter

2GitHub CLI

gh skill install github/awesome-copilot nano-banana-pro-openrouter

3Manually: put the files in place

.github/skills/nano-banana-pro-openrouter/SKILL.md

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Questions about nano-banana-pro-openrouter

How do I install nano-banana-pro-openrouter in GitHub Copilot?

Install the skill with npx skills add github/awesome-copilot --skill nano-banana-pro-openrouter. You can also use gh skill install github/awesome-copilot nano-banana-pro-openrouter.

What does nano-banana-pro-openrouter do?

It generates images through OpenRouter, edits one input image, and builds compositions from multiple images. It uses google/gemini-3-pro-image-preview for generation.

What does nano-banana-pro-openrouter need to run?

It requires uv and the OPENROUTER_API_KEY environment variable. The skill accepts up to 3 input images and supports 1K, 2K, and 4K output.

Source text

SKILL.md · MIT 
---
name: nano-banana-pro-openrouter
description: 'Generate or edit images via OpenRouter with the Gemini 3 Pro Image model. Use for prompt-only image generation, image edits, and multi-image compositing; supports 1K/2K/4K output.'
metadata:
  emoji: 🍌
  requires:
    bins:
      - uv
    env:
      - OPENROUTER_API_KEY
  primaryEnv: OPENROUTER_API_KEY
---


# Nano Banana Pro OpenRouter

## Overview

Generate or edit images with OpenRouter using the `google/gemini-3-pro-image-preview` model. Support prompt-only generation, single-image edits, and multi-image composition.

### Prompt-only generation

```
uv run {baseDir}/scripts/generate_image.py \
  --prompt "A cinematic sunset over snow-capped mountains" \
  --filename sunset.png
```

### Edit a single image

```
uv run {baseDir}/scripts/generate_image.py \
  --prompt "Replace the sky with a dramatic aurora" \
  --input-image input.jpg \
  --filename aurora.png
```

### Compose multiple images

```
uv run {baseDir}/scripts/generate_image.py \
  --prompt "Combine the subjects into a single studio portrait" \
  --input-image face1.jpg \
  --input-image face2.jpg \
  --filename composite.png
```

## Resolution

- Use `--resolution` with `1K`, `2K`, or `4K`.
- Default is `1K` if not specified.

## System prompt customization

The skill reads an optional system prompt from `assets/SYSTEM_TEMPLATE`. This allows you to customize the image generation behavior without modifying code.

## Behavior and constraints

- Accept up to 3 input images via repeated `--input-image`.
- `--filename` accepts relative paths (saves to current directory) or absolute paths.
- If multiple images are returned, append `-1`, `-2`, etc. to the filename.
- Print `MEDIA: <path>` for each saved image. Do not read images back into the response.

## Troubleshooting

If the script exits non-zero, check stderr against these common blockers:

| Symptom | Resolution |
|---------|------------|
| `OPENROUTER_API_KEY is not set` | Ask the user to set it. PowerShell: `$env:OPENROUTER_API_KEY = "sk-or-..."` / bash: `export OPENROUTER_API_KEY="sk-or-..."` |
| `uv: command not found` or not recognized | macOS/Linux: <code>curl -LsSf https://astral.sh/uv/install.sh &#124; sh</code>. Windows: <code>powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 &#124; iex"</code>. Then restart the terminal. |
| `AuthenticationError` / HTTP 401 | Key is invalid or has no credits. Verify at <https://openrouter.ai/settings/keys>. |

For transient errors (HTTP 429, network timeouts), retry once after 30 seconds. Do not retry the same error more than twice — surface the issue to the user instead.

© github · MIT · github/awesome-copilot

See also

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