Initial commit

skills/gemini-imagegen/scripts/generate_image.py

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+#!/usr/bin/env python3
+"""
+Generate images from text prompts using Gemini API.
+
+Usage:
+    python generate_image.py "prompt" output.png [--model MODEL] [--aspect RATIO] [--size SIZE]
+
+Examples:
+    python generate_image.py "A cat in space" cat.png
+    python generate_image.py "A logo for Acme Corp" logo.png --model gemini-3-pro-image-preview --aspect 1:1
+    python generate_image.py "Epic landscape" landscape.png --aspect 16:9 --size 2K
+
+Environment:
+    GEMINI_API_KEY - Required API key
+"""
+
+import argparse
+import os
+import sys
+
+from google import genai
+from google.genai import types
+
+
+def generate_image(
+    prompt: str,
+    output_path: str,
+    model: str = "gemini-2.5-flash-image",
+    aspect_ratio: str | None = None,
+    image_size: str | None = None,
+) -> str | None:
+    """Generate an image from a text prompt.
+    
+    Args:
+        prompt: Text description of the image to generate
+        output_path: Path to save the generated image
+        model: Gemini model to use
+        aspect_ratio: Aspect ratio (1:1, 16:9, 9:16, etc.)
+        image_size: Resolution (1K, 2K, 4K - 4K only for pro model)
+    
+    Returns:
+        Any text response from the model, or None
+    """
+    api_key = os.environ.get("GEMINI_API_KEY")
+    if not api_key:
+        raise EnvironmentError("GEMINI_API_KEY environment variable not set")
+    
+    client = genai.Client(api_key=api_key)
+    
+    # Build config
+    config_kwargs = {"response_modalities": ["TEXT", "IMAGE"]}
+    
+    image_config_kwargs = {}
+    if aspect_ratio:
+        image_config_kwargs["aspect_ratio"] = aspect_ratio
+    if image_size:
+        image_config_kwargs["image_size"] = image_size
+    
+    if image_config_kwargs:
+        config_kwargs["image_config"] = types.ImageConfig(**image_config_kwargs)
+    
+    config = types.GenerateContentConfig(**config_kwargs)
+    
+    response = client.models.generate_content(
+        model=model,
+        contents=[prompt],
+        config=config,
+    )
+    
+    text_response = None
+    image_saved = False
+    
+    for part in response.parts:
+        if part.text is not None:
+            text_response = part.text
+        elif part.inline_data is not None:
+            image = part.as_image()
+            image.save(output_path)
+            image_saved = True
+    
+    if not image_saved:
+        raise RuntimeError("No image was generated. Check your prompt and try again.")
+    
+    return text_response
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Generate images from text prompts using Gemini API",
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+        epilog=__doc__
+    )
+    parser.add_argument("prompt", help="Text prompt describing the image")
+    parser.add_argument("output", help="Output file path (e.g., output.png)")
+    parser.add_argument(
+        "--model", "-m",
+        default="gemini-2.5-flash-image",
+        choices=["gemini-2.5-flash-image", "gemini-3-pro-image-preview"],
+        help="Model to use (default: gemini-2.5-flash-image)"
+    )
+    parser.add_argument(
+        "--aspect", "-a",
+        choices=["1:1", "2:3", "3:2", "3:4", "4:3", "4:5", "5:4", "9:16", "16:9", "21:9"],
+        help="Aspect ratio"
+    )
+    parser.add_argument(
+        "--size", "-s",
+        choices=["1K", "2K", "4K"],
+        help="Image resolution (4K only available with pro model)"
+    )
+    
+    args = parser.parse_args()
+    
+    try:
+        text = generate_image(
+            prompt=args.prompt,
+            output_path=args.output,
+            model=args.model,
+            aspect_ratio=args.aspect,
+            image_size=args.size,
+        )
+        
+        print(f"Image saved to: {args.output}")
+        if text:
+            print(f"Model response: {text}")
+            
+    except Exception as e:
+        print(f"Error: {e}", file=sys.stderr)
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()