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97bc889
feat(skills): add nano-banana-pro-openrouter skill
nblog ef4aa0b
fix(skill): update descriptions and improve error handling in generat…
nblog 5efb732
feat(skills): add nano-banana-pro-openrouter skill with image generat…
nblog b8bbc75
fix(generate_image): improve input image handling and validate output…
nblog 79c3429
fix(generate_image): enhance image handling and output path resolutio…
nblog 55da61a
fix(SYSTEM_TEMPLATE): clarify language matching requirement for gener…
nblog b087965
fix(SKILL.md): enhance troubleshooting section with common errors and…
nblog b1e5581
Merge remote-tracking branch 'origin/main' into add-nano-banana-pro-o…
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| --- | ||
| name: nano-banana-pro-openrouter | ||
| description: 'Generate or edit images via OpenRouter with the Gemini 3 Pro Image model. Use for prompt-only image generation, image edits, and multi-image compositing; supports 1K/2K/4K output.' | ||
| metadata: | ||
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| emoji: 🍌 | ||
| requires: | ||
| bins: | ||
| - uv | ||
| env: | ||
| - OPENROUTER_API_KEY | ||
| primaryEnv: OPENROUTER_API_KEY | ||
| --- | ||
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| # Nano Banana Pro OpenRouter | ||
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| ## Overview | ||
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| Generate or edit images with OpenRouter using the `google/gemini-3-pro-image-preview` model. Support prompt-only generation, single-image edits, and multi-image composition. | ||
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| ### Prompt-only generation | ||
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| ``` | ||
| uv run {baseDir}/scripts/generate_image.py \ | ||
| --prompt "A cinematic sunset over snow-capped mountains" \ | ||
| --filename sunset.png | ||
| ``` | ||
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| ### Edit a single image | ||
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| ``` | ||
| uv run {baseDir}/scripts/generate_image.py \ | ||
| --prompt "Replace the sky with a dramatic aurora" \ | ||
| --input-image input.jpg \ | ||
| --filename aurora.png | ||
| ``` | ||
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| ### Compose multiple images | ||
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| ``` | ||
| uv run {baseDir}/scripts/generate_image.py \ | ||
| --prompt "Combine the subjects into a single studio portrait" \ | ||
| --input-image face1.jpg \ | ||
| --input-image face2.jpg \ | ||
| --filename composite.png | ||
| ``` | ||
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| ## Resolution | ||
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| - Use `--resolution` with `1K`, `2K`, or `4K`. | ||
| - Default is `1K` if not specified. | ||
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| ## System prompt customization | ||
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| The skill reads an optional system prompt from `assets/SYSTEM_TEMPLATE`. This allows you to customize the image generation behavior without modifying code. | ||
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| ## Behavior and constraints | ||
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| - Accept up to 3 input images via repeated `--input-image`. | ||
| - `--filename` accepts relative paths (saves to current directory) or absolute paths. | ||
| - If multiple images are returned, append `-1`, `-2`, etc. to the filename. | ||
| - Print `MEDIA: <path>` for each saved image. Do not read images back into the response. | ||
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| ## Troubleshooting | ||
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| If the script exits non-zero, check stderr against these common blockers: | ||
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| | Symptom | Resolution | | ||
| |---------|------------| | ||
| | `OPENROUTER_API_KEY is not set` | Ask the user to set it. PowerShell: `$env:OPENROUTER_API_KEY = "sk-or-..."` / bash: `export OPENROUTER_API_KEY="sk-or-..."` | | ||
| | `uv: command not found` or not recognized | macOS/Linux: <code>curl -LsSf https://astral.sh/uv/install.sh | sh</code>. Windows: <code>powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"</code>. Then restart the terminal. | | ||
| | `AuthenticationError` / HTTP 401 | Key is invalid or has no credits. Verify at <https://openrouter.ai/settings/keys>. | | ||
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| For transient errors (HTTP 429, network timeouts), retry once after 30 seconds. Do not retry the same error more than twice — surface the issue to the user instead. | ||
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| You are a visionary image‑creation artist with a poetic, dreamlike imagination. | ||
| Your role is to transform any user request—whether highly detailed or very minimal—into a vivid, concrete, and model‑ready image description. | ||
| When information is missing, infer the user's intent in a gentle and intuitive way (such as creating a character portrait, sticker design, sci‑fi avatar, creature concept, etc.). | ||
| If the user does not specify an art style, you may offer subtle optional suggestions (for example, "soft illustration," "minimal line style," or "playful entertainment‑meme style") without imposing them. | ||
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| Your responsibilities: | ||
| - Ensure any text appearing in the image matches the user's language (unless explicitly specified otherwise) | ||
| - Create visually compelling and technically excellent images | ||
| - Pay attention to composition, lighting, color, and visual balance | ||
| - Follow the user's specific style preferences and requirements | ||
| - For image edits, preserve the original context while making requested modifications | ||
| - For multi-image composition, seamlessly blend subjects into cohesive results | ||
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| Remember: Output only the generated image without additional commentary. |
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skills/nano-banana-pro-openrouter/scripts/generate_image.py
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| #!/usr/bin/env python3 | ||
| # /// script | ||
| # requires-python = ">=3.10" | ||
| # dependencies = [ | ||
| # "openai", | ||
| # ] | ||
| # /// | ||
| """ | ||
| Generate or edit images via OpenRouter using openai-python. | ||
| """ | ||
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| import argparse | ||
| import base64 | ||
| import mimetypes | ||
| import os | ||
| from pathlib import Path | ||
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| from openai import OpenAI | ||
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| # Configuration | ||
| MAX_INPUT_IMAGES = 3 | ||
| MIME_TO_EXT = { | ||
| "image/png": ".png", | ||
| "image/jpeg": ".jpg", | ||
| "image/jpg": ".jpg", | ||
| "image/webp": ".webp", | ||
| } | ||
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| def parse_args(): | ||
| parser = argparse.ArgumentParser(description="Generate or edit images via OpenRouter.") | ||
| parser.add_argument("--prompt", required=True, help="Prompt describing the desired image.") | ||
| parser.add_argument("--filename", required=True, help="Output filename (relative to CWD).") | ||
| parser.add_argument( | ||
| "--resolution", | ||
| type=str.upper, | ||
| choices=["1K", "2K", "4K"], | ||
| default="1K", | ||
| help="Output resolution: 1K, 2K, or 4K.", | ||
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| ) | ||
| parser.add_argument( | ||
| "--input-image", | ||
| action="append", | ||
| default=[], | ||
| help=f"Optional input image path (repeatable, max {MAX_INPUT_IMAGES}).", | ||
| ) | ||
| return parser.parse_args() | ||
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| def require_api_key(): | ||
| api_key = os.environ.get("OPENROUTER_API_KEY") | ||
| if not api_key: | ||
| raise SystemExit("OPENROUTER_API_KEY is not set in the environment.") | ||
| return api_key | ||
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| def encode_image_to_data_url(path: Path) -> str: | ||
| if not path.exists(): | ||
| raise SystemExit(f"Input image not found: {path}") | ||
| mime, _ = mimetypes.guess_type(str(path)) | ||
| if not mime: | ||
| mime = "image/png" | ||
| data = path.read_bytes() | ||
| encoded = base64.b64encode(data).decode("utf-8") | ||
| return f"data:{mime};base64,{encoded}" | ||
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| def build_message_content(prompt: str, input_images: list[str]) -> list[dict]: | ||
| content: list[dict] = [{"type": "text", "text": prompt}] | ||
| for image_path in input_images: | ||
| data_url = encode_image_to_data_url(Path(image_path)) | ||
| content.append({"type": "image_url", "image_url": {"url": data_url}}) | ||
| return content | ||
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| def parse_data_url(data_url: str) -> tuple[str, bytes]: | ||
| if not data_url.startswith("data:") or ";base64," not in data_url: | ||
| raise SystemExit("Image URL is not a base64 data URL.") | ||
| header, encoded = data_url.split(",", 1) | ||
| mime = header[5:].split(";", 1)[0] | ||
| try: | ||
| raw = base64.b64decode(encoded) | ||
| except Exception as e: | ||
| raise SystemExit(f"Failed to decode base64 image payload: {e}") | ||
| return mime, raw | ||
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| def resolve_output_path(filename: str, image_index: int, total_count: int, mime: str) -> Path: | ||
| output_path = Path(filename) | ||
| suffix = output_path.suffix | ||
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| # Validate/correct suffix matches MIME type | ||
| expected_suffix = MIME_TO_EXT.get(mime, ".png") | ||
| if suffix and suffix.lower() != expected_suffix.lower(): | ||
| print(f"Warning: filename extension '{suffix}' doesn't match returned MIME type '{mime}'. Using '{expected_suffix}' instead.") | ||
| suffix = expected_suffix | ||
| elif not suffix: | ||
| suffix = expected_suffix | ||
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| # Single image: use original stem + corrected suffix | ||
| if total_count <= 1: | ||
| return output_path.with_suffix(suffix) | ||
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| # Multiple images: append numbering | ||
| return output_path.with_name(f"{output_path.stem}-{image_index + 1}{suffix}") | ||
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| def extract_image_url(image: dict | object) -> str | None: | ||
| if isinstance(image, dict): | ||
| return image.get("image_url", {}).get("url") or image.get("url") | ||
| return None | ||
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| def load_system_prompt(): | ||
| """Load system prompt from assets/SYSTEM_TEMPLATE if it exists and is not empty.""" | ||
| script_dir = Path(__file__).parent.parent | ||
| template_path = script_dir / "assets" / "SYSTEM_TEMPLATE" | ||
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| if template_path.exists(): | ||
| content = template_path.read_text(encoding="utf-8").strip() | ||
| if content: | ||
| return content | ||
| return None | ||
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| def main(): | ||
| args = parse_args() | ||
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| if len(args.input_image) > MAX_INPUT_IMAGES: | ||
| raise SystemExit(f"Too many input images: {len(args.input_image)} (max {MAX_INPUT_IMAGES}).") | ||
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| image_size = args.resolution | ||
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| client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=require_api_key()) | ||
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| # Build messages with optional system prompt | ||
| messages = [] | ||
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| system_prompt = load_system_prompt() | ||
| if system_prompt: | ||
| messages.append({ | ||
| "role": "system", | ||
| "content": system_prompt, | ||
| }) | ||
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| messages.append({ | ||
| "role": "user", | ||
| "content": build_message_content(args.prompt, args.input_image), | ||
| }) | ||
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| response = client.chat.completions.create( | ||
| model="google/gemini-3-pro-image-preview", | ||
| messages=messages, | ||
| extra_body={ | ||
| "modalities": ["image", "text"], | ||
| # https://openrouter.ai/docs/guides/overview/multimodal/image-generation#image-configuration-options | ||
| "image_config": { | ||
| # "aspect_ratio": "16:9", | ||
| "image_size": image_size, | ||
| } | ||
| }, | ||
| ) | ||
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| message = response.choices[0].message | ||
| images = getattr(message, "images", None) | ||
| if not images: | ||
| raise SystemExit("No images returned by the API.") | ||
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| # Create output directory once before processing images | ||
| output_base_path = Path(args.filename) | ||
| if output_base_path.parent and str(output_base_path.parent) != '.': | ||
| output_base_path.parent.mkdir(parents=True, exist_ok=True) | ||
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| saved_paths = [] | ||
| for idx, image in enumerate(images): | ||
| image_url = extract_image_url(image) | ||
| if not image_url: | ||
| raise SystemExit("Image payload missing image_url.url.") | ||
| mime, raw = parse_data_url(image_url) | ||
| output_path = resolve_output_path(args.filename, idx, len(images), mime) | ||
| output_path.write_bytes(raw) | ||
| saved_paths.append(output_path.resolve()) | ||
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| for path in saved_paths: | ||
| print(f"Saved image to: {path}") | ||
| print(f"MEDIA: {path}") | ||
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| if __name__ == "__main__": | ||
| main() | ||
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