Skill: 0n1onr1ng/nano-banana-skills (version 1.0.0)

--- name: gemini-image description: Generate images using Google Gemini models (Nano Banana 2 / gemini-3-pro-image-preview). Use when the user asks to create, generate, or make an image, picture, photo, or visual from a text description. Also supports image-to-image generation (modify/edit existing images). Supports multiple aspect ratios (1:1, 16:9, 9:16, 4:3, 3:4) and resolutions up to 4K. Triggers on phrases like "generate an image", "create a picture", "make me a photo", "draw", "visualize", "edit this image", "modify this picture", or any request to produce or transform visual content. --- # Gemini Image Generation Generate images from text descriptions or modify existing images using Google's Gemini models via the Wisdom Gate API. ## Quick Usage ### Text-to-Image ```bash python scripts/generate_image.py "your prompt here" [--aspect-ratio RATIO] [--size SIZE] [--output PATH] ``` ### Image-to-Image (Single or Multiple) ```bash # Single image python scripts/generate_image.py "modification prompt" --input input.jpg [--output PATH] # Multiple images (up to 14) python scripts/generate_image.py "combine these people in an office photo" --input person1.jpg person2.jpg person3.jpg ``` ### Multi-Turn Refinement ```bash # First turn: Generate initial image (auto-selects Nano Banana 2) python scripts/refine_image.py "Create a vibrant infographic about photosynthesis" --reset # Second turn: Refine with quality priority python scripts/refine_image.py "Make it more colorful and add more visual elements" --quality # Third turn: Further refinement with specific model python scripts/refine_image.py "Add labels to each component" --model nano-banana-pro # Start a new conversation with budget model python scripts/refine_image.py "New prompt here" --reset --model nano-banana ``` **Parameters (generate_image.py):** - `prompt` (required): Text description of the image to generate or modification to apply - `--input`: Input image path(s) for image-to-image generation - supports up to 14 images (optional) - `--aspect-ratio`: Image aspect ratio (text-to-image only) - `1:1` (default), `16:9`, `9:16`, `21:9`, `4:3`, `3:4`, `5:4`, `4:5`, `2:3`, `3:2`, `1:4`, `4:1`, `1:8`, `8:1` - `--size`: Image resolution (text-to-image only) - `0.5K`, `1K` (default), `2K`, `4K` - `--output`: Output file path (default: `generated_image.png`) - `--model`: Force specific model - `nano-banana`, `nano-banana-2`, `nano-banana-pro` (auto-select if not specified) - `--quality`: Prioritize quality over cost (uses Nano Banana Pro when possible) **Parameters (refine_image.py):** - `prompt` (required): Refinement instruction or initial prompt - `--history`: Conversation history file (default: `conversation.json`) - `--output`: Output file path (default: `refined_image.png`) - `--reset`: Reset conversation history and start fresh - `--model`: Force specific model - `nano-banana`, `nano-banana-2`, `nano-banana-pro` (auto-select if not specified) - `--quality`: Prioritize quality over cost (uses Nano Banana Pro) **Environment:** - Requires `WISGATE_KEY` environment variable - Alternative: Set `Authorization: Bearer YOUR_KEY` header (modify script if needed) ## Examples ### Text-to-Image ```bash # Basic generation (auto-selects Nano Banana 2 for best balance) python scripts/generate_image.py "A serene mountain landscape at sunset" # High quality mode (uses Nano Banana Pro) python scripts/generate_image.py "Futuristic city skyline" --quality --aspect-ratio 16:9 --size 4K # Budget mode (force cheapest model) python scripts/generate_image.py "Simple illustration" --model nano-banana --size 2K # Portrait orientation with specific model python scripts/generate_image.py "Portrait of a wise old wizard" --aspect-ratio 9:16 --model nano-banana-pro ``` ### Image-to-Image ```bash # Modify an existing image (auto-selects appropriate model) python scripts/generate_image.py "make it look like a watercolor painting" --input photo.jpg # Style transfer with quality priority python scripts/generate_image.py "Van Gogh style" --input portrait.png --quality # Multiple reference images (auto-uses Nano Banana Pro for best quality) python scripts/generate_image.py "group photo of these people at a party" --input person1.jpg person2.jpg person3.jpg person4.jpg # Budget multi-image (force cheaper model) python scripts/generate_image.py "combine these items" --input item1.jpg item2.jpg --model nano-banana-2 ``` ## Models | Model | Alias | Description | Resolutions | Cost | |-------|-------|-------------|-------------|------| | **gemini-2.5-flash-image** | `nano-banana` | Cheapest, fast & economical | 1K, 2K | 💰 Low | | **gemini-3.1-flash-image-preview** | `nano-banana-2` | Best value, recommended | 0.5K, 1K, 2K, 4K | 💰💰 Medium | | **gemini-3-pro-image-preview** | `nano-banana-pro` | Best performance, high quality | 1K, 2K, 4K | 💰💰💰 High | **Smart Model Selection (Default Behavior):** - Multiple image input (>1 image) → Automatically uses Nano Banana Pro (best quality) - 4K resolution → Nano Banana 2 or Pro (depends on `--quality` flag) - 0.5K resolution → Nano Banana 2 (only supported model) - Other scenarios → Nano Banana 2 (best value) **Manual Model Override:** Use the `--model` parameter to force a specific model: ```bash python scripts/generate_image.py "prompt" --model nano-banana # Cheapest python scripts/generate_image.py "prompt" --model nano-banana-2 # Best value python scripts/generate_image.py "prompt" --model nano-banana-pro # Best quality ``` **Quality Priority Mode:** Use the `--quality` flag to prefer Nano Banana Pro when possible: ```bash python scripts/generate_image.py "prompt" --quality ``` **API Endpoint Format:** ``` https://api.wisgate.ai/v1beta/models/{model}:generateContent ``` **Authentication:** - Header: `x-goog-[REDACTED_SECRET]` - Or: `[REDACTED_SECRET]` ## Workflow ### One-Shot Generation (generate_image.py) 1. Check if `WISDOM_GATE_KEY` is set in environment 2. For text-to-image: Run script with prompt and desired parameters 3. For image-to-image: Run script with prompt and `--input` pointing to the source image(s) 4. Save the generated image to the specified output path 5. Show the image to the user or confirm the save location ### Multi-Turn Refinement (refine_image.py) 1. First turn: Use `--reset` to start a new conversation 2. Subsequent turns: Run without `--reset` to refine based on previous results 3. Conversation history is automatically saved to `conversation.json` (or custom path) 4. Each turn generates a new image based on the full conversation context 5. Use `--reset` again to start a completely new conversation ## Notes - Images are returned as base64-encoded PNG data - Text-to-image includes Google Search grounding by default for better results - Image-to-image supports JPEG, PNG, and WebP input formats - Aspect ratio and size parameters only apply to text-to-image generation - **Multi-image limits**: Up to 14 reference images total (recommended: up to 6 objects or up to 5 people for best quality) - **Force image output**: Set `responseModalities: ["IMAGE"]` (without TEXT) to ensure image generation - **Model differences**: Different models support different resolutions and aspect ratios - consult the table above - **Multi-turn editing**: Use `refine_image.py` for iterative refinement with conversation history - **Conversation persistence**: History is saved to JSON file and can be resumed across sessions - **Safety settings**: API supports content filtering via `safetySettings` parameter (not exposed in scripts by default) - **Token usage**: Check `usageMetadata` in API response for prompt/candidate/total token counts - **Finish reasons**: API returns `finishReason` (STOP, MAX_TOKENS, SAFETY, RECITATION, OTHER)


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)