121 lines
3.3 KiB
Python
121 lines
3.3 KiB
Python
#!/usr/bin/env python3
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# /// script
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# dependencies = ["google-genai", "pillow", "python-dotenv"]
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# ///
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"""
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Edit existing images using Google's Nano Banana Pro.
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Usage:
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uv run edit.py input.png "edit instructions" output.png
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Arguments:
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input - Input image file path
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instructions - Text description of edits to make
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output - Output file path (PNG)
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Examples:
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uv run edit.py photo.png "Change background to sunset" edited.png
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uv run edit.py logo.png "Make the text larger and blue" logo_v2.png
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"""
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import sys
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import os
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import json
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from pathlib import Path
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from dotenv import load_dotenv
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from google import genai
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from google.genai.types import GenerateContentConfig, Part
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from PIL import Image
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# Load API key from Geoffrey secrets
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SECRETS_PATH = Path.home() / "Library/Mobile Documents/com~apple~CloudDocs/Geoffrey/secrets/.env"
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if SECRETS_PATH.exists():
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load_dotenv(SECRETS_PATH)
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def main():
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if len(sys.argv) < 4:
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print("Usage: uv run edit.py input.png \"edit instructions\" output.png")
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sys.exit(1)
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input_path = sys.argv[1]
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instructions = sys.argv[2]
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output_path = sys.argv[3]
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# Validate input exists
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if not os.path.exists(input_path):
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print(f"Error: Input file not found: {input_path}")
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sys.exit(1)
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# Initialize client
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api_key = os.environ.get("GEMINI_API_KEY")
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if not api_key:
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print("Error: GEMINI_API_KEY environment variable not set")
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sys.exit(1)
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client = genai.Client(api_key=api_key)
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# Load input image
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print(f"Loading input image: {input_path}")
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input_image = Image.open(input_path)
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# Configure generation
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config = GenerateContentConfig(
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response_modalities=["TEXT", "IMAGE"]
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)
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print(f"Editing image...")
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print(f" Instructions: {instructions[:100]}{'...' if len(instructions) > 100 else ''}")
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try:
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# Create content with image and instructions
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response = client.models.generate_content(
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model="gemini-3-pro-image-preview",
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contents=[
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Part.from_image(input_image),
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f"Edit this image: {instructions}"
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],
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config=config
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)
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# Extract and save edited image
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saved = False
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text_response = ""
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for part in response.candidates[0].content.parts:
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if hasattr(part, 'inline_data') and part.inline_data:
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image = part.as_image()
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output_file = Path(output_path)
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output_file.parent.mkdir(parents=True, exist_ok=True)
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image.save(output_path)
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saved = True
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print(f"\nEdited image saved: {output_path}")
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elif hasattr(part, 'text') and part.text:
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text_response = part.text
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if text_response:
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print(f"\nModel response: {text_response}")
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if not saved:
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print("\nError: No edited image was generated")
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sys.exit(1)
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result = {
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"success": True,
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"input": input_path,
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"output": output_path,
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"text_response": text_response
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}
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print(f"\n{json.dumps(result)}")
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except Exception as e:
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print(f"\nError editing image: {e}")
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sys.exit(1)
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if __name__ == "__main__":
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main()
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