gemini-image
Generate images using Google Gemini and Imagen models via scripts/. Use for AI image generation, text-to-image, creating visuals from prompts, generating multiple images, custom aspect ratios, and high-resolution output up to 4K. Triggers on "generate image", "create image", "imagen", "text to image", "AI art", "nano banana".
npx skills add majiayu000/claude-skill-registry --skill gemini-image-akrindev-google-studio-skills --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.
# Gemini Image Generation Generate high-quality images from text prompts using Google's Gemini and Imagen models through executable scripts. ## When to Use This Skill Use this skill when you need to: - Create visual content from text descriptions - Generate multiple image variations - Create images at specific resolutions (1K, 2K, 4K) - Produce images for different aspect ratios (social media, banners, etc.) - Generate photorealistic images or artistic visuals - Create images with person generation controls - Batch generate multiple images at once - Combine with text generation for complete content creation ## Available Scripts ### scripts/generate_image.py **Purpose**: Generate images using Gemini 3 Pro Image or Imagen 4 models **When to use**: - Any image generation task - Multiple image generation (1-4 per request) - Custom resolution and aspect ratio needs - Professional asset creation - Photorealistic or artistic image generation **Key parameters**: | Parameter | Description | Example | |-----------|-------------|---------| | `prompt` | Text description (required) | `"A futuristic city at sunset"` | | `--model`, `-m` | Model to use | `gemini-3-pro-image-preview` | | `--output-
- When to Use This Skill
- Available Scripts
- scripts/generateimage.py
- Workflows
- Workflow 1: Basic Image Generation
- Workflow 2: Social Media (Instagram, Facebook)
- Workflow 3: YouTube Thumbnails (16:9)
- Workflow 4: Multiple Variations
- Workflow 5: Custom Output Directory
- Workflow 6: Photorealistic Images (Imagen 4)
- Workflow 7: Blog Post Featured Image
- Workflow 8: Content Creation Pipeline (Text + Image)
- Workflow 9: Disable Timestamp
- Parameters Reference
python scripts/generate_image.py "A futuristic city at sunset with flying cars" python scripts/generate_image.py "Minimalist coffee shop interior" --aspect 1:1 --size 2K --name coffee-shop python scripts/generate_image.py "Tech gadget review thumbnail with vibrant colors" --aspect 16:9 --size 2K --name thumbnail python scripts/generate_image.py "Abstract geometric patterns in blue and gold" --num 4 --name abstract python scripts/generate_image.py "Detailed architectural rendering of modern museum" --aspect 16:9 --size 4K --output-dir ./professional/ --name museum python scripts/generate_image.py "Serene mountain lake at sunrise with reflections" --aspect 16:9 --size 2K --output-dir ./blog-images/ --name featured-image python skills/gemini-text/scripts/generate.py "Write a product description for smart home device" python scripts/generate_image.py "Sleek modern smart home device on white background" --aspect 4:3 --size 2K --name product python scripts/generate_image.py "Fixed filename image" --name my-image --no-timestamp pip install google-genai pillow
What does the gemini-image skill do?
Generate images using Google Gemini and Imagen models via scripts/. Use for AI image generation, text-to-image, creating visuals from prompts, generating multiple images, custom aspect ratios, and high-resolution output up to 4K. Triggers on "generate image", "create image", "imagen", "text to image", "AI art", "nano banana".
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill gemini-image-akrindev-google-studio-skills --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.
