name: genai-image description: Generate images using Google GenAI Nano Banana Pro model via CLI. Use when the user asks to create images, generate pictures, make AI art, do image-to-image transformations, place people in scenes, or create character variations.

GenAI Image Generation Skill

Generate high-quality images using the genai-cli image command with Nano Banana Pro.

Quick Start

# Basic image generation
uv run genai-cli image "your prompt here" --aspect 16:9

# Image-to-image (use existing image as reference)
uv run genai-cli image "place this person in a datacenter" --input ./photo.png --aspect 16:9

# With all options
uv run genai-cli image "robot in tuxedo" --aspect 9:16 --variations 3 --quality 90

CLI Reference

uv run genai-cli image [OPTIONS] PROMPT

Options:
  --aspect, -a      Aspect ratio (1:1, 9:16, 16:9, 4:3, 3:4, 3:2, 2:3, 4:5, 5:4, 21:9)
  --resolution, -r  Resolution: 1K or 4K
  --variations, -v  Number of images (1-10)
  --quality, -q     Output quality (0-100)
  --guidance, -g    Prompt adherence (0-20)
  --enhance         Auto-improve prompt
  --format, -f      Output format: png, jpeg, webp
  --output, -o      Output directory (default: ./genai_outputs/)
  --input, -i       Input image for image-to-image generation
  --json            Output as JSON

Image-to-Image Generation

Use an existing image as a reference to generate new images:

# Place a person in a new scene
uv run genai-cli image "Place this person in a modern datacenter with server racks and blue LED lights" \
  --input ./person.png \
  --aspect 16:9

# Transform a photo
uv run genai-cli image "Convert to anime style, vibrant colors" \
  --input ./photo.jpg

# Add elements to an existing image
uv run genai-cli image "Add a sunset background and dramatic lighting" \
  --input ./portrait.png

Use cases for image-to-image:

• Place people in new environments/scenes
• Style transfer (photorealistic to anime, etc.)
• Add or modify elements in existing images
• Create variations of a reference image
• Professional headshots in different settings

Supported Aspect Ratios

Examples

Basic Generation

uv run genai-cli image "A sunset over mountains" --aspect 16:9

High Quality Portrait

uv run genai-cli image "Professional headshot, studio lighting" --aspect 3:4 --quality 95

Batch Generation

uv run genai-cli image "Abstract art, vibrant colors" --variations 5 --aspect 1:1

Person in Datacenter (Image-to-Image)

uv run genai-cli image "Place this person in a modern datacenter environment with server racks, blue LED lights, professional IT atmosphere" \
  --input ./team_photo.png \
  --aspect 16:9

With JSON Output (for automation)

uv run genai-cli image "Product photo" --json

Output

Images are saved to ./genai_outputs/ by default:

• genai_image_001.png
• genai_image_002.png (if variations > 1)
• etc.

Prompt Tips

1. Be specific: "A robot in a black tuxedo with bow tie" > "A robot in a suit"
2. Include lighting: "Cinematic dramatic lighting"
3. Specify style: "Photorealistic", "Cinematic", "Film noir"
4. Add text: "Bold text reads: 'YOUR TEXT HERE'"
5. For image-to-image: Describe what you want to happen to/with the input image

Prerequisites

API key must be configured:

uv run genai-cli auth set-key