imagenation 1.0.1

Generate AI Images in Batches with Google's Imagen

Imagenation 🎨

Generate AI Images in Batches with Google's Imagen. Transform text prompts and optional image inputs into stunning visuals, effortlessly.

Features

• Text-to-Image: Generate images from text descriptions
• Text+Image-to-Image: Modify existing images with text prompts
• CLI Interface: Direct command-line usage
• Batch Processing: Process multiple images from CSV/JSON files
• Library Support: Import and use in your Python projects
• Rate Limiting: Built-in rate limiting with configurable delays to prevent API quota issues

Quick Start

1. Install dependencies:

   pip install -r requirements.txt
   

2. Set up API key in .env:

   GOOGLE_API_KEY=your_api_key_here
   

3. Generate an image:

   ./start.sh -it "A beautiful sunset over mountains" -o sunset.png
   

Usage

Command Line

# Text to image (with default rate limiting)
./start.sh -it "A majestic dragon in a fantasy landscape" -o dragon.png

# Text + image to image  
./start.sh -it "Add a rainbow to this landscape" -ii photo.jpg -o rainbow_photo.png

# Batch processing from CSV
./start.sh --csv batch_data.csv

# Batch processing from JSON
./start.sh --json batch_data.json

# Custom rate limiting for paid tier (faster processing)
./start.sh -it "Beautiful landscape" -o output.png --delay 0.2

# Conservative rate limiting for batch processing
./start.sh --csv large_batch.csv --delay 15.0

Rate Limiting

The tool includes built-in rate limiting to prevent hitting Google API quotas:

• Default delay: 12 seconds between requests (5 requests/minute for free tier)
• Custom delay: Use --delay parameter to adjust timing
• Automatic handling: Built-in wait times and error handling for rate limit errors

Rate Limiting Recommendations

Tier	Delay	Requests/Minute	Use Case
Free	12s (default)	5	Personal use, occasional generation
Paid	0.2s	300	High-volume processing, development
Batch	15s+	4	Large batch processing, quota conservation

Rate Limiting Examples

# Free tier (default 12s delay)
./start.sh -it "sunset" -o output.png

# Paid tier (faster processing)
./start.sh -it "sunset" -o output.png --delay 0.2

# Batch processing with conservative delay
./start.sh --csv batch.csv --delay 15.0

# Library usage with custom rate limiting
from imagenation import ImagenationGenerator
gen = ImagenationGenerator(rate_limit_delay=0.2)  # 300 RPM

Python Library

from imagenation import ImagenationGenerator

# Initialize generator with custom rate limiting
gen = ImagenationGenerator(rate_limit_delay=0.2)  # 300 RPM for paid tier

# Generate text-to-image
gen.generate_text_to_image("A serene lake at sunset", "lake.png")

# Generate text+image-to-image
gen.generate_text_image_to_image(
    "Make this photo look vintage", 
    "input.jpg", 
    "vintage_output.jpg"
)

Alternative Usage

# Using Python module directly
python -m imagenation -it "Beautiful landscape" -o output.png

# Using original script (backward compatibility)
python imagenation.py -it "Beautiful landscape" -o output.png

File Formats

CSV Format

input_text,input_image_path,output_image_name
"A beautiful sunset","","sunset.png"
"Add a rainbow","landscape.jpg","rainbow_landscape.png"

JSON Format

[
  {
    "input_text": "A beautiful sunset",
    "input_image_path": "",
    "output_image_name": "sunset.png"
  },
  {
    "input_text": "Add a rainbow", 
    "input_image_path": "landscape.jpg",
    "output_image_name": "rainbow_landscape.png"
  }
]

Requirements

• Python 3.7+
• Google API key with Gemini access
• Dependencies: google-genai, pillow, python-dotenv

Project Structure

imagenation/
├── imagenation/           # Main package
│   ├── __init__.py       # Package exports
│   ├── generator.py      # Core generation logic with rate limiting
│   ├── cli.py           # Command-line interface
│   └── __main__.py      # Module entry point
├── imagenation.py        # Backward compatibility script
├── start.sh             # Setup and run script
├── requirements.txt     # Dependencies
├── .env                # API key configuration
└── README.md           # This file

Rate Limiting Details

The tool automatically handles rate limiting to prevent API quota issues:

• Built-in delays: Automatic wait times between requests
• Error handling: Graceful handling of 429 rate limit errors
• Configurable: Adjust timing via --delay parameter or constructor
• Batch processing: Essential for processing large numbers of images without hitting daily limits

When rate limits are exceeded, the tool provides clear feedback and suggestions for adjusting the delay parameter.

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🌊 Made with Good Vibes by Pedro, Claude, and Gemini 🌊