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Upload 4 files
Browse files- .gitignore +35 -13
- README.md +128 -0
- app.py +187 -0
- requirements.txt +3 -20
.gitignore
CHANGED
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# Environment variables
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.env
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.env.local
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# Generated images
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generated_images/
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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# Virtual
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venv/
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env/
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ENV/
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# IDE
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.idea/
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*.swp
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*.swo
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# OS
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.DS_Store
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# Logs
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*.log
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# Temporary files
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*.tmp
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temp/
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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env/
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venv/
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ENV/
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# Virtual Environment
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.venv/
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venv/
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ENV/
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# IDE
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.idea/
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*.swp
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*.swo
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*~
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.DS_Store
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# Gradio
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gradio_cached_examples/
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flagged/
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# API Keys and Secrets
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.env
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.env.local
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*.key
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secrets.json
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# Logs
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*.log
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logs/
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# Temporary files
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*.tmp
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temp/
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tmp/
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README.md
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---
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title: Gemini Image Generation
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emoji: 🎨
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: 5.49.1
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app_file: app.py
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pinned: false
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license: mit
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---
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# 🎨 Gemini Image Generation App
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A simple and intuitive Gradio application for generating images using Google's Gemini image models (Nano Banana 🍌).
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## Features
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- 🔑 Secure API key input
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- 🤖 **Model Selection**: Choose between Gemini 3 Pro Image (Nano Banana Pro) or 2.5 Flash Image (Nano Banana)
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- 📝 Text-to-image generation with state-of-the-art quality
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- 📐 Multiple aspect ratio options (1:1, 16:9, 9:16, 4:3, 3:4)
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- 💡 Example prompts for inspiration
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- 🎨 Clean and modern UI
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## Models Available
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### 🍌⭐ Gemini 3 Pro Image (Nano Banana Pro)
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- **Release**: November 20, 2025
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- **Best for**: Professional-grade image generation
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- **Features**: High-resolution (1K/2K/4K), advanced text rendering, complex compositions
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- **Model ID**: `gemini-3-pro-image-preview`
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### 🍌⚡ Gemini 2.5 Flash Image (Nano Banana)
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- **Release**: August 26, 2025
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- **Best for**: Fast, efficient image generation
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- **Features**: 1024px resolution, 2-3x faster than competitors, high-volume tasks
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- **Model ID**: `gemini-2.5-flash-image`
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## How to Use
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1. **Get API Key**: Visit [Google AI Studio](https://aistudio.google.com/app/apikey) to obtain your API key
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2. **Enter API Key**: Paste your API key in the secure input field
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3. **Select Model**: Choose between Gemini 3 Pro (quality) or 2.5 Flash (speed)
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4. **Write Prompt**: Describe the image you want to generate in detail
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5. **Select Aspect Ratio**: Choose your preferred aspect ratio
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6. **Generate**: Click the "Generate Image" button and wait for your image
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## Tips for Better Results
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- Be specific and detailed in your prompts
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- Include information about:
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- Style (realistic, artistic, abstract, etc.)
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- Mood and atmosphere
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- Lighting conditions
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- Color palette
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- Composition details
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- Reference specific artists or art movements if desired
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- Experiment with different aspect ratios for your use case
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## Requirements
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- Google AI API key (free tier available)
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- Internet connection
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- Modern web browser
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## Technical Details
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- **Models**:
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- Gemini 3 Pro Image (`gemini-3-pro-image-preview`)
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- Gemini 2.5 Flash Image (`gemini-2.5-flash-image`)
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- **Framework**: Gradio 5.49.1 (stable)
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- **API**: Google GenAI Python SDK (google-genai 1.52.0+)
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- **Deployment**: Hugging Face Spaces
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- **Python**: 3.10+
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## Privacy & Security
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- Your API key is not stored or logged
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- API key is only used for the current generation request
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- All processing happens through Google's secure API
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- No image data is stored by this application
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## Local Development
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To run this app locally:
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```bash
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# Clone the repository
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git clone <repository-url>
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cd <repository-name>
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# Install dependencies
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pip install -r requirements.txt
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# Run the app
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python app.py
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```
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The app will be available at `http://localhost:7860`
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## API Costs
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Image generation using Gemini API may incur costs. Please refer to [Google's pricing page](https://ai.google.dev/pricing) for current rates.
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## Limitations
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- Generation time: 10-30 seconds per image
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- Rate limits apply based on your API tier
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- Content policy restrictions apply
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- Some prompts may be filtered for safety
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## Support
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For issues or questions:
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- Check [Google AI documentation](https://ai.google.dev/)
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- Review [Gradio documentation](https://www.gradio.app/docs)
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- Open an issue in this repository
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## License
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MIT License - feel free to use and modify for your projects
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## Acknowledgments
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- Google GenAI SDK for unified API access to Imagen models
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- Gradio for the modern web interface framework
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- Hugging Face for hosting platform
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app.py
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import gradio as gr
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from google import genai
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from google.genai import types
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from PIL import Image
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import io
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# Model configuration
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| 8 |
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MODELS = {
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"Gemini 3 Pro Image (Nano Banana Pro) 🍌⭐": "gemini-3-pro-image-preview",
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"Gemini 2.5 Flash Image (Nano Banana) 🍌⚡": "gemini-2.5-flash-image",
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}
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| 12 |
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def generate_image(api_key, prompt, model_name, aspect_ratio, safety_filter):
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"""
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Generate image using Google GenAI API (Gemini image models)
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Args:
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api_key: Google AI API key
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| 20 |
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prompt: Text description for image generation
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| 21 |
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model_name: Selected model name
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aspect_ratio: Aspect ratio for the image
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safety_filter: Safety filter level
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| 24 |
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| 25 |
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Returns:
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Generated image or error message
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"""
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if not api_key:
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return None, "❌ Please enter your API key"
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if not prompt:
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return None, "❌ Please enter a prompt"
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try:
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# Create GenAI client
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client = genai.Client(api_key=api_key)
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# Get model ID from selection
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model_id = MODELS[model_name]
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# Configure image generation settings
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config = types.GenerateContentConfig(
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response_modalities=["IMAGE"],
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image_config=types.ImageConfig(
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aspect_ratio=aspect_ratio,
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),
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)
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| 48 |
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# Generate image using Gemini image model
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| 50 |
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response = client.models.generate_content(
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model=model_id,
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contents=[prompt],
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config=config
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)
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+
# Extract and return the generated image
|
| 57 |
+
for part in response.parts:
|
| 58 |
+
if part.inline_data is not None:
|
| 59 |
+
image = part.as_image()
|
| 60 |
+
return image, f"✅ Image generated successfully!\nModel: {model_name}\nPrompt: {prompt}\nAspect Ratio: {aspect_ratio}"
|
| 61 |
+
|
| 62 |
+
return None, "❌ No image was generated. Please try again with a different prompt."
|
| 63 |
+
|
| 64 |
+
except Exception as e:
|
| 65 |
+
error_msg = str(e)
|
| 66 |
+
if "API_KEY_INVALID" in error_msg or "invalid api key" in error_msg.lower():
|
| 67 |
+
return None, "❌ Invalid API key. Please check your API key and try again."
|
| 68 |
+
elif "QUOTA_EXCEEDED" in error_msg or "quota" in error_msg.lower():
|
| 69 |
+
return None, "❌ Quota exceeded. Please check your API usage limits."
|
| 70 |
+
elif "permission" in error_msg.lower():
|
| 71 |
+
return None, "❌ Permission denied. Please ensure your API key has access to Gemini image models."
|
| 72 |
+
else:
|
| 73 |
+
return None, f"❌ Error: {error_msg}"
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
# Create Gradio interface
|
| 77 |
+
with gr.Blocks(title="Gemini Image Generation", theme=gr.themes.Soft()) as demo:
|
| 78 |
+
gr.Markdown(
|
| 79 |
+
"""
|
| 80 |
+
# 🎨 Gemini Image Generation App
|
| 81 |
+
|
| 82 |
+
Generate images using Google's Gemini image models (Nano Banana 🍌).
|
| 83 |
+
|
| 84 |
+
**How to use:**
|
| 85 |
+
1. Get your API key from [Google AI Studio](https://aistudio.google.com/app/apikey)
|
| 86 |
+
2. Enter your API key below
|
| 87 |
+
3. Select your preferred model (3 Pro or 2.5 Flash)
|
| 88 |
+
4. Write a detailed prompt describing the image you want
|
| 89 |
+
5. Select aspect ratio
|
| 90 |
+
6. Click "Generate Image"
|
| 91 |
+
"""
|
| 92 |
+
)
|
| 93 |
+
|
| 94 |
+
with gr.Row():
|
| 95 |
+
with gr.Column(scale=1):
|
| 96 |
+
api_key_input = gr.Textbox(
|
| 97 |
+
label="🔑 API Key",
|
| 98 |
+
type="password",
|
| 99 |
+
placeholder="Enter your Google AI API key",
|
| 100 |
+
info="Your API key is not stored and only used for this generation"
|
| 101 |
+
)
|
| 102 |
+
|
| 103 |
+
model_input = gr.Dropdown(
|
| 104 |
+
label="🤖 Model",
|
| 105 |
+
choices=list(MODELS.keys()),
|
| 106 |
+
value="Gemini 3 Pro Image (Nano Banana Pro) 🍌⭐",
|
| 107 |
+
info="Gemini 3 Pro: Professional quality | 2.5 Flash: Faster generation"
|
| 108 |
+
)
|
| 109 |
+
|
| 110 |
+
prompt_input = gr.Textbox(
|
| 111 |
+
label="📝 Prompt",
|
| 112 |
+
placeholder="A serene landscape with mountains and a lake at sunset...",
|
| 113 |
+
lines=5,
|
| 114 |
+
info="Describe the image you want to generate"
|
| 115 |
+
)
|
| 116 |
+
|
| 117 |
+
aspect_ratio_input = gr.Dropdown(
|
| 118 |
+
label="📐 Aspect Ratio",
|
| 119 |
+
choices=["1:1", "16:9", "9:16", "4:3", "3:4"],
|
| 120 |
+
value="1:1",
|
| 121 |
+
info="Select the aspect ratio for your image"
|
| 122 |
+
)
|
| 123 |
+
|
| 124 |
+
safety_filter_input = gr.Dropdown(
|
| 125 |
+
label="🛡️ Safety Filter",
|
| 126 |
+
choices=["Default", "Low", "High"],
|
| 127 |
+
value="Default",
|
| 128 |
+
info="Content safety filter level"
|
| 129 |
+
)
|
| 130 |
+
|
| 131 |
+
generate_btn = gr.Button("🎨 Generate Image", variant="primary", size="lg")
|
| 132 |
+
|
| 133 |
+
with gr.Column(scale=1):
|
| 134 |
+
output_image = gr.Image(
|
| 135 |
+
label="Generated Image",
|
| 136 |
+
type="pil",
|
| 137 |
+
height=500
|
| 138 |
+
)
|
| 139 |
+
status_output = gr.Textbox(
|
| 140 |
+
label="Status",
|
| 141 |
+
lines=3,
|
| 142 |
+
interactive=False
|
| 143 |
+
)
|
| 144 |
+
|
| 145 |
+
gr.Markdown(
|
| 146 |
+
"""
|
| 147 |
+
---
|
| 148 |
+
### 💡 Tips for better results:
|
| 149 |
+
- **Choose the right model**: Gemini 3 Pro for professional quality, 2.5 Flash for speed
|
| 150 |
+
- Be specific and detailed in your prompts
|
| 151 |
+
- Include style, mood, lighting, and composition details
|
| 152 |
+
- Mention specific artists or art styles if desired
|
| 153 |
+
- Experiment with different aspect ratios
|
| 154 |
+
|
| 155 |
+
### 🍌 Model Comparison:
|
| 156 |
+
- **Gemini 3 Pro Image (Nano Banana Pro)**: Professional-grade, high-resolution (1K/2K/4K), advanced text rendering
|
| 157 |
+
- **Gemini 2.5 Flash Image (Nano Banana)**: Fast generation, 1024px resolution, efficient for high-volume tasks
|
| 158 |
+
|
| 159 |
+
### ⚠️ Notes:
|
| 160 |
+
- API key is required for each generation
|
| 161 |
+
- Generation may take 10-30 seconds
|
| 162 |
+
- API usage may incur costs based on Google's pricing
|
| 163 |
+
"""
|
| 164 |
+
)
|
| 165 |
+
|
| 166 |
+
# Connect generate button to function
|
| 167 |
+
generate_btn.click(
|
| 168 |
+
fn=generate_image,
|
| 169 |
+
inputs=[api_key_input, prompt_input, model_input, aspect_ratio_input, safety_filter_input],
|
| 170 |
+
outputs=[output_image, status_output]
|
| 171 |
+
)
|
| 172 |
+
|
| 173 |
+
# Example prompts
|
| 174 |
+
gr.Examples(
|
| 175 |
+
examples=[
|
| 176 |
+
["A futuristic cityscape at night with neon lights and flying cars", "16:9"],
|
| 177 |
+
["A cute robot playing with a kitten in a garden", "1:1"],
|
| 178 |
+
["An abstract painting with vibrant colors and geometric shapes", "4:3"],
|
| 179 |
+
["A serene Japanese zen garden with cherry blossoms", "16:9"],
|
| 180 |
+
],
|
| 181 |
+
inputs=[prompt_input, aspect_ratio_input],
|
| 182 |
+
label="Example Prompts"
|
| 183 |
+
)
|
| 184 |
+
|
| 185 |
+
|
| 186 |
+
if __name__ == "__main__":
|
| 187 |
+
demo.launch()
|
requirements.txt
CHANGED
|
@@ -1,20 +1,3 @@
|
|
| 1 |
-
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
uvicorn[standard]>=0.20.0
|
| 5 |
-
|
| 6 |
-
# Google Gemini API (Nano Banana)
|
| 7 |
-
google-generativeai>=0.8.0
|
| 8 |
-
|
| 9 |
-
# Image processing
|
| 10 |
-
pillow>=10.0.0
|
| 11 |
-
numpy>=1.24.0
|
| 12 |
-
|
| 13 |
-
# Utilities
|
| 14 |
-
python-dotenv>=1.0.0
|
| 15 |
-
aiofiles>=23.2.1
|
| 16 |
-
requests>=2.28.0
|
| 17 |
-
|
| 18 |
-
# Hugging Face integration
|
| 19 |
-
huggingface_hub==0.19.4
|
| 20 |
-
datasets>=2.14.0
|
|
|
|
| 1 |
+
gradio==5.49.1
|
| 2 |
+
google-genai>=1.52.0
|
| 3 |
+
Pillow>=10.0.0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|