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Nano Image Generator

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lxfater
nano-image-generator

Generate images using Nano Banana Pro (Gemini 3 Pro Preview). Use when creating app icons, logos, UI graphics, marketing banners, social media images, illustrations, diagrams, or any visual assets. Supports reference images for style transfer and character consistency. Triggers include phrases like 'generate an image', 'create a graphic', 'make an icon', 'design a logo', 'create a banner', 'same style as', 'keep the style', or any request needing visual content.

Overview

Publisherlxfater
Repositorynano-image-generator-skill
Skill namenano-image-generator
Stars
129
Forks
18
Bundled files
2
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by lxfater on GitHub. Read the source before you install it.

Installation

Install the Nano Image Generator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/lxfater/nano-image-generator-skill/tree/main
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/lxfater/nano-image-generator-skill.git \
  .claude/skills/nano-image-generator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nano Image Generator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nano Image Generator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nano Image Generator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Nano Image Generator

Generate images using Nano Banana Pro (Gemini 3 Pro Preview) for any visual asset needs. Supports reference images for style transfer and character consistency.

Quick Start

bash
# Basic generation
python scripts/generate_image.py "A friendly robot mascot waving" --output ./mascot.png

# With style reference (keep same visual style)
python scripts/generate_image.py "Same style, new content" --ref ./reference.jpg --output ./new.png

Script Usage

bash
python scripts/generate_image.py <prompt> --output <path> [options]

Required:

  • prompt - Image description
  • --output, -o - Output file path

Options:

  • --aspect, -a - Aspect ratio (default: 1:1)
    • Square: 1:1
    • Portrait: 2:3, 3:4, 4:5, 9:16
    • Landscape: 3:2, 4:3, 5:4, 16:9, 21:9
  • --size, -s - Resolution: 1K, 2K (default), 4K
  • --ref, -r - Reference image (can use multiple times, max 14)

Reference Images

Gemini supports up to 14 reference images for:

Style Transfer

Keep the visual style (colors, textures, mood) from a reference:

bash
python scripts/generate_image.py "New scene with mountains, same visual style as reference" \
  --ref ./style-reference.jpg --output ./styled-mountains.png

Character Consistency

Maintain character appearance across multiple images:

bash
python scripts/generate_image.py "Same character now in a forest setting" \
  --ref ./character.png --output ./character-forest.png

Multi-Image Fusion

Combine elements from multiple references:

bash
python scripts/generate_image.py "Combine the style of first image with subject of second" \
  --ref ./style.png --ref ./subject.png --output ./combined.png

Serial Image Generation (Batch Workflow)

For generating a series with consistent style:

  1. Generate first image
  2. Use first image as --ref for subsequent images
  3. Each new image inherits the established style
bash
# Generate cover
python scripts/generate_image.py "Tech knowledge card cover" -o ./01-cover.png

# Generate subsequent cards with style reference
python scripts/generate_image.py "Card 2 content, same style" --ref ./01-cover.png -o ./02-card.png
python scripts/generate_image.py "Card 3 content, same style" --ref ./01-cover.png -o ./03-card.png

Workflow

  1. Determine output location - Place images where contextually appropriate:

    • App icons → ./assets/icons/
    • Marketing → ./marketing/
    • UI elements → ./src/assets/
    • General → ./generated/
  2. Craft effective prompts - Be specific and descriptive:

    • Include style: "flat design", "3D rendered", "watercolor", "minimalist"
    • Include context: "for a mobile app", "website hero image"
    • Include details: colors, mood, composition
    • For references: mention "same style as reference" or "keep the visual style"
  3. Choose appropriate settings:

    • Icons/logos → --aspect 1:1
    • Banners/headers → --aspect 16:9 or 21:9
    • Mobile screens → --aspect 9:16
    • Xiaohongshu cards → --aspect 3:4
    • Photos → --aspect 3:2 or 4:3

Examples

App icon:

bash
python scripts/generate_image.py "Minimalist flat design app icon of a lightning bolt, purple gradient background, modern iOS style" \
  --output ./assets/app-icon.png --aspect 1:1

Marketing banner:

bash
python scripts/generate_image.py "Professional website hero banner for a productivity app, abstract geometric shapes, blue and white color scheme" \
  --output ./public/images/hero-banner.png --aspect 16:9

Xiaohongshu knowledge card:

bash
python scripts/generate_image.py "Tech knowledge card, dark blue purple gradient, neon cyan accents, code block style, Chinese text '标题'" \
  --output ./xiaohongshu/card.png --aspect 3:4

Style transfer:

bash
python scripts/generate_image.py "Transform this photo into watercolor painting style" \
  --ref ./photo.jpg --output ./watercolor.png

Character in new scene:

bash
python scripts/generate_image.py "Same character from reference, now sitting in a cafe, warm lighting" \
  --ref ./character.png --output ./character-cafe.png --aspect 3:2

Prompt Tips

  • Be specific - "A red apple on a wooden table" vs "an apple"
  • Include style - "in the style of pixel art" or "photorealistic"
  • Mention purpose - "for a children's book" affects the output style
  • Describe composition - "centered", "rule of thirds", "close-up"
  • Specify colors - Explicit color palettes yield better results
  • Reference prompts - Use "same style as reference", "keep the visual aesthetic", "match the color palette"
  • Avoid - Don't ask for complex text in images (use overlays instead)

Limitations

  • Maximum 14 reference images per request
  • Text rendering may be imperfect (better to overlay text separately)
  • Very specific brand logos may not reproduce exactly

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Nano Image Generator AI skill do?

Generate images using Nano Banana Pro (Gemini 3 Pro Preview). Use when creating app icons, logos, UI graphics, marketing banners, social media images, illustrations, diagrams, or any visual assets. Supports reference images for style transfer and character consistency. Triggers include phrases like 'generate an image', 'create a graphic', 'make an icon', 'design a logo', 'create a banner', 'same style as', 'keep the style', or any request needing visual content.

Why use Nano Image Generator on TypingMind?

Because you install it once and use it with any model. Nano Image Generator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nano Image Generator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lxfater/nano-image-generator-skill/tree/main. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Nano Image Generator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nano Image Generator?

As many as you like. As long as a model supports skills, you can use Nano Image Generator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nano Image Generator AI skill free?

It is published on GitHub by lxfater. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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