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Image Generation
Generate and edit images from text prompts using diffusion-style models.
AI review
Quality 62Trust 45Discovery 38Clear, practical CLI skill for text-to-image and image-editing workflows with useful options, but key integration and provenance details are missing and the claim of using 'Gemini 3 Pro Image' is unverified.
This listing provides a straightforward, well-organized CLI script and examples for text-to-image generation, editing, and composing multiple inputs, with sensible options for aspect ratios and resolutions. However, it lacks essential implementation details such as dependency installation, authentication or API integration steps, licensing, and how the proprietary 'Gemini 3 Pro Image' model is accessed, which reduces confidence the tool will work out of the box. Improve the README with setup instructions, dependency list, and verified model/API access to raise trust and polish.
Strengths
- Clear CLI usage examples for generation, editing, and composition
- Supports multiple aspect ratios, resolutions, and input combinations
Considerations
- No instructions for authentication, model/API access, or required dependencies
- Claims use of 'Gemini 3 Pro Image' without verification or integration details
Why this ranks
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Trust signals
AI review
Review pending.
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Image Generation & Editing
Generate and edit images using Gemini 3 Pro Image - a state-of-the-art model for professional image creation.
When to Use
Use this skill when you need to:
- Generate images from text descriptions
- Edit existing images (add/remove/modify elements)
- Combine multiple images into new compositions
- Apply style transfers to images
- Create visual assets, illustrations, or diagrams
- Generate images with text/logos (high-fidelity text rendering)
Usage
Generate from Text (Text-to-Image)
Edit an Existing Image
Combine Multiple Images
Specify Output Options
Options
| Option | Short | Default | Description |
|---|---|---|---|
--output | -o | Auto-generated in /workspace/generated_images/ | Output file path |
--input | -i | None | Input image for editing (can specify multiple) |
--aspect-ratio | -a | 1:1 | Output aspect ratio |
--resolution | -r | 1K | Output resolution (1K, 2K, or 4K) |
By default, images are saved to /workspace/generated_images/ with timestamped filenames like image_20250120_143052_your_prompt.png.
Aspect Ratios
1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9
Resolutions
1K- ~1024px (default, fastest)2K- ~2048px (higher quality)4K- ~4096px (highest quality, slower)
Examples
Text-to-Image Generation
Image Editing
Multi-Image Composition
Capabilities
Gemini 3 Pro Image Features
- High-resolution output: 1K, 2K, and 4K generation
- Advanced text rendering: Legible, stylized text for logos, diagrams, marketing
- Thinking mode: Model reasons through complex prompts for better results
- Up to 14 reference images: Mix images for composition (5 high-fidelity people)
- Semantic masking: Edit specific parts without explicit masks
Requirements
GEMINI_API_KEYenvironment variable must be set- Python 3.10+ with
google-genaiandPillowpackages installed
Tips for Better Results
For Generation
- Be descriptive: "A photorealistic close-up portrait with soft golden hour lighting" beats "a portrait"
- Specify style: Include art style references (minimalist, photorealistic, watercolor, etc.)
- Add camera details: Mention lens type, lighting setup, camera angle for photorealistic images
- Use step-by-step: For complex scenes, describe background first, then foreground elements
For Editing
- Be specific about what to preserve: "Keep the woman's face unchanged, only add..."
- Describe the integration: "The hat should look naturally placed, matching the lighting"
- Use semantic descriptions: Instead of "mask the sofa", say "change only the sofa"
For Text in Images
- Specify font style descriptively: "clean, bold, sans-serif" or "elegant script"
- Place text explicitly: "text at the top center of the image"