Gemini Image Generator
Generate high-quality images for projects using Google's Gemini 3 Pro Image Preview model. This skill provides workflows for creating various types of project images including icons, illustrations, banners, and concept art.
Overview
The Gemini 3 Pro Image Preview model (gemini-3-pro-image-preview) offers native image generation capabilities through the Generative Language API. It supports:
- •Text-to-image generation
- •Image editing and transformation
- •Style transfer
- •Multi-image composition
Prerequisites
Before using this skill:
- •Obtain a Gemini API key from Google AI Studio
- •Set the environment variable:
export GEMINI_API_KEY="your-api-key"
Quick Start
Generate Image via Python Script
Execute the bundled script to generate images:
python3 "${SKILL_DIR}/scripts/generate_image.py" \
--prompt "A cute banana character mascot for a mobile app, kawaii style, yellow and brown colors" \
--output "./generated_image.png"
Generate Image via cURL
For direct API calls without dependencies:
curl -s -X POST \
"https://generativelanguage.googleapis.com/v1beta/models/gemini-3-pro-image-preview:generateContent?key=${GEMINI_API_KEY}" \
-H "Content-Type: application/json" \
-d '{
"contents": [{
"parts": [{"text": "Your prompt here"}]
}],
"generationConfig": {
"responseModalities": ["TEXT", "IMAGE"]
}
}' | python3 -c "
import sys, json, base64
data = json.load(sys.stdin)
for part in data.get('candidates', [{}])[0].get('content', {}).get('parts', []):
if 'inlineData' in part:
img_data = base64.b64decode(part['inlineData']['data'])
with open('output.png', 'wb') as f:
f.write(img_data)
print('Image saved to output.png')
"
Image Generation Workflows
Workflow 1: Project Icon Generation
Generate app icons or project logos:
python3 "${SKILL_DIR}/scripts/generate_image.py" \
--prompt "Modern flat design app icon for [PROJECT_TYPE], minimalist style, vibrant colors, suitable for iOS/Android" \
--output "./icon.png" \
--aspect-ratio "1:1"
Workflow 2: Banner/Hero Image
Create marketing banners or hero images:
python3 "${SKILL_DIR}/scripts/generate_image.py" \
--prompt "Professional banner image for [PROJECT_NAME], modern tech aesthetic, gradient background" \
--output "./banner.png" \
--aspect-ratio "16:9"
Workflow 3: Illustration Generation
Generate illustrations for documentation or UI:
python3 "${SKILL_DIR}/scripts/generate_image.py" \
--prompt "Clean vector-style illustration showing [CONCEPT], soft colors, professional look" \
--output "./illustration.png"
Workflow 4: Image Editing/Transformation
Transform or edit existing images:
python3 "${SKILL_DIR}/scripts/generate_image.py" \
--prompt "Transform this image into a watercolor painting style while preserving the main subject" \
--input "./source_image.png" \
--output "./transformed.png"
Prompt Engineering Tips
Effective Prompt Structure
[Subject] + [Style] + [Details] + [Technical specs]
Example:
A friendly robot mascot (subject) in pixel art style (style) with blue and orange colors, waving hand (details) on transparent background, 512x512 resolution (technical)
Style Keywords
| Category | Keywords |
|---|---|
| Art Style | minimalist, flat design, 3D render, watercolor, pixel art, vector, cartoon |
| Mood | professional, playful, elegant, modern, vintage, futuristic |
| Quality | high detail, photorealistic, clean lines, sharp edges |
| Colors | vibrant, pastel, monochrome, gradient, neon |
Project-Specific Prompts
For different project types:
- •Mobile App: "Modern app icon, rounded corners, gradient background, single symbolic element"
- •Web Dashboard: "Clean UI illustration, data visualization theme, blue corporate colors"
- •Game: "Game asset sprite, detailed pixel art, fantasy theme, transparent background"
- •Documentation: "Technical diagram style, clean vector illustration, explanatory visual"
Configuration Options
Aspect Ratios
| Ratio | Use Case |
|---|---|
| 1:1 | App icons, profile pictures |
| 16:9 | Banners, hero images |
| 4:3 | Standard images, thumbnails |
| 9:16 | Mobile stories, vertical banners |
| 5:4 | Group photos, presentations |
Image Sizes
| Size | Description |
|---|---|
| default | Standard resolution |
| 2K | Higher quality (2048px) |
| 4K | Maximum quality (4096px) |
Error Handling
Common issues and solutions:
| Error | Cause | Solution |
|---|---|---|
| 401 Unauthorized | Invalid API key | Verify GEMINI_API_KEY is set correctly |
| 400 Bad Request | Invalid prompt | Check prompt format, remove prohibited content |
| 429 Rate Limited | Too many requests | Wait and retry, implement backoff |
| Safety Block | Content policy violation | Modify prompt to comply with guidelines |
Bundled Resources
Scripts
- •
scripts/generate_image.py- Main image generation script with full configuration options - •
scripts/batch_generate.py- Generate multiple images from a prompt list
References
- •
references/api-reference.md- Complete Gemini API documentation - •
references/prompt-templates.md- Ready-to-use prompt templates for various project types
Examples
- •
examples/generate_icon.sh- Example: Generate app icon - •
examples/generate_banner.sh- Example: Generate project banner - •
examples/batch_config.json- Example: Batch generation configuration
Best Practices
- •Be Specific: Include detailed descriptions of desired output
- •Specify Style: Always mention the artistic style explicitly
- •Define Colors: List specific colors when brand consistency matters
- •Set Constraints: Specify aspect ratio and size requirements upfront
- •Iterate: Generate multiple variations and refine prompts based on results
- •Save Prompts: Document successful prompts for future consistency
Integration Notes
When integrating generated images into projects:
- •Check image dimensions match target requirements
- •Verify file format compatibility (PNG recommended for transparency)
- •Consider compression for web assets
- •Store original prompts alongside images for reproducibility