--- slug: "nano-banana" source_type: "skill_md" source_url: "https://cdn.jsdelivr.net/gh/carolmonroe22/nano-banana@main/SKILL.md" repo: "https://github.com/carolmonroe22/nano-banana" source_file: "SKILL.md" branch: "main" --- --- name: nano-banana description: Generate images using Nano Banana (Google Generative AI). Use this skill when the user asks to create, generate, or make images of any kind - illustrations, photos, product mockups, logos, scenes, textures, UI mockups, or any visual content. Handles style selection, prompt building, generation, and preview. license: MIT metadata: author: CarolMonroe22 version: "2.0.0" tags: - ai - images - google-ai - illustrations - design --- # Nano Banana Generate images using Google Generative AI API. Supports any image type: illustrations, realistic photos, product mockups, logos, scenes, patterns, UI concepts, and more. ## Setup (first time only) If `GOOGLE_AI_API_KEY` is not set: 1. Go to https://aistudio.google.com/apikey 2. Click "Create API Key" (free, no credit card needed) 3. Add to shell profile: ```bash echo 'export GOOGLE_AI_API_KEY="your-key-here"' >> ~/.zshrc source ~/.zshrc ``` ## Interactive Workflow 1. **Ask for concept** - What image do you want to create? 2. **Ask for type** - Illustration, photo, mockup, logo, etc. 3. **Ask for quality level** - nano-banana-2 (fast, good quality) or nano-banana-pro (best quality, slower)? 4. **Ask for size** - What dimensions/aspect ratio? 5. **Ask for style** - User describes their aesthetic, colors, or picks a preset 6. **Build prompt** - Combine type + style + concept + size into a generation prompt 7. **Generate** - Run `scripts/generate.py` 8. **Preview** - Open in default viewer ## Models & Cost Present these options and confirm cost before generating: | Model | Flag | Cost/image | Best for | |-------|------|-----------|----------| | Nano Banana 2 (default) | `-m nano-banana-2` | ~$0.04 | Latest, fastest, good quality | | Nano Banana Pro | `-m nano-banana-pro` | ~$0.06 | Best quality, slower | | Nano Banana (legacy) | `-m nano-banana` | ~$0.04 | Original model | Always confirm: "This will cost approximately $X.XX. Proceed?" ## Sizes Ask user what size they need. Add the size instruction to the END of the prompt: | Size | Use case | Prompt suffix | |------|----------|---------------| | Square (1:1) | Blog posts, social | `Square 1:1 aspect ratio.` | | Wide (16:9) | Headers, banners, YouTube | `Wide format 16:9 aspect ratio.` | | Portrait (9:16) | Stories, mobile | `Portrait 9:16 aspect ratio.` | | Landscape (3:2) | Photos, cards | `Landscape 3:2 aspect ratio.` | ## Building the Prompt ### If user has brand/style preferences Ask: "Do you have specific colors, aesthetic, or brand style you'd like?" Use their answer to build the prompt with this structure: ``` [IMAGE TYPE], [AESTHETIC/STYLE], [COLOR PALETTE]. [CONCEPT DESCRIPTION] [STYLE CONSTRAINTS]. [ASPECT RATIO] ``` ### Image Type Presets #### Illustrations **Watercolor** - Soft, whimsical, hand-drawn ``` Whimsical hand-drawn watercolor illustration, soft [USER_COLOR] palette with warm accents. Simple composition with ONE/TWO main elements: [CONCEPT] Style: Simple and clean like Notion illustrations. NOT complex. NOT busy. NO text. Cream background. Square 1:1. ``` **Monochromatic** - Single color, clean lines ``` MONOCHROMATIC [USER_COLOR] illustration - use ONLY shades of [USER_HEX] throughout. Ultra high quality. [CONCEPT] Style: Clean lines, modern like Notion/Slack. NO other colors. ``` **Flat/Editorial** - Detailed, informative ``` Detailed flat illustration in [USER_COLOR] palette, editorial quality. [CONCEPT] Style: Clean linework. Modern editorial feel. High detail. Wide format 16:9. ``` **Minimal line art** - Simple outlines, one accent ``` Minimal line art, thin black outlines with [USER_COLOR] as single accent color. [CONCEPT] Style: Minimal, lots of whitespace. NO fills except accent. White background. ``` #### Photos / Realistic **Product photo** - Clean, studio-style ``` Professional product photography, studio lighting, clean [white/colored] background. [PRODUCT DESCRIPTION] Ultra high quality, sharp focus, soft shadows. [ASPECT RATIO] ``` **Lifestyle photo** - Natural, contextual ``` Lifestyle photography, natural lighting, [warm/cool] tones. [SCENE DESCRIPTION] Authentic feel, shallow depth of field. [ASPECT RATIO] ``` **Scene / Environment** - Places, spaces ``` [Photorealistic/Cinematic] scene, [LIGHTING DESCRIPTION], [MOOD]. [SCENE DESCRIPTION] High detail, professional photography quality. [ASPECT RATIO] ``` #### Design & Branding **Logo concept** - Clean, symbolic ``` Minimalist logo design on white background. Clean vector style. [BRAND/CONCEPT DESCRIPTION] Simple, memorable, works at small sizes. NO text. Square 1:1. ``` **UI mockup** - Interface concepts ``` Clean UI design mockup, modern interface, [light/dark] theme. [SCREEN/COMPONENT DESCRIPTION] Style: Modern SaaS aesthetic, clean typography, subtle shadows. [ASPECT RATIO] ``` **Pattern / Texture** - Repeating visuals ``` Seamless [PATTERN TYPE] pattern, [USER_COLOR] palette. [PATTERN DESCRIPTION] Tileable, consistent spacing, high quality. Square 1:1. ``` ## Generation ### Single image ```bash python3 scripts/generate.py "" -o ~/Desktop/.png -m --open ``` - `-m` selects the model (default: `nano-banana-2`) - `--open` opens the image in the default viewer after generation - Use descriptive kebab-case filenames (e.g., `laptop-notifications.png`) - If user doesn't like the result, tweak the prompt and regenerate ### Batch generation (same style) When user needs multiple images in a consistent style (e.g., blog series, icon set, product shots): 1. Define the style prompt once (colors, aesthetic, constraints) 2. Ask user for a list of concepts/subjects 3. Generate each image reusing the same style prefix, only changing the concept 4. Save all to the same folder with numbered or descriptive names Example batch flow: ```bash # Same style, different concepts python3 scripts/generate.py "