genai-image
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.
npx skills add majiayu000/claude-skill-registry --skill genai-image --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# GenAI Image Generation Skill Generate high-quality images using the `genai-cli image` command with Nano Banana Pro. ## Quick Start ```bash # 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: ```bash # Place a person in a new scene uv run genai-cli image "Place this person in a modern datacenter with server rack
- Quick Start
- CLI Reference
- Image-to-Image Generation
- Supported Aspect Ratios
- Examples
- Basic Generation
- High Quality Portrait
- Batch Generation
- Person in Datacenter (Image-to-Image)
- With JSON Output (for automation)
- Output
- Prompt Tips
- Prerequisites
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 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" \ Transform a photo uv run genai-cli image "Convert to anime style, vibrant colors" \
What does the genai-image skill do?
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.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill genai-image --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.