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gemini-imagegenlisted

This skill should be used when generating and editing images using the Gemini API (Nano Banana Pro). It applies when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.
CodeWithBehnam/cc-docs · ★ 0 · AI & Automation · score 70
Install: claude install-skill CodeWithBehnam/cc-docs
# Gemini Image Generation (Nano Banana Pro) Generate and edit images using Google's Gemini API. The environment variable `GEMINI_API_KEY` must be set. ## Default Model | Model | Resolution | Best For | |-------|------------|----------| | `gemini-3-pro-image-preview` | 1K-4K | All image generation (default) | **Note:** Always use this Pro model. Only use a different model if explicitly requested. ## Quick Reference ### Default Settings - **Model:** `gemini-3-pro-image-preview` - **Resolution:** 1K (default, options: 1K, 2K, 4K) - **Aspect Ratio:** 1:1 (default) ### Available Aspect Ratios `1:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, `21:9` ### Available Resolutions `1K` (default), `2K`, `4K` ## Core API Pattern ```python import os from google import genai from google.genai import types client = genai.Client(api_key=os.environ["GEMINI_API_KEY"]) # Basic generation (1K, 1:1 - defaults) response = client.models.generate_content( model="gemini-3-pro-image-preview", contents=["Your prompt here"], config=types.GenerateContentConfig( response_modalities=['TEXT', 'IMAGE'], ), ) for part in response.parts: if part.text: print(part.text) elif part.inline_data: image = part.as_image() image.save("output.png") ``` ## Custom Resolution & Aspect Ratio ```python from google.genai import types response = client.models.generate_content( model="gemini-3-pro-image-preview", contents=[prompt],