Nano Banana Image Generation Skill
Use this skill to generate and edit images using the google-genai Python SDK with Gemini's specialized image models (Nano Banana).
Quick Start Setup
from google import genai
from google.genai import types
from PIL import Image
import io
client = genai.Client()Reference Materials
- Model Capabilities: Comparison of Gemini 2.5 vs 3 Pro, resolutions, and token costs.
- Image Generation: Text-to-Image, Interleaved Text/Image.
- Image Editing: Subject Customization, Style Transfer, Multi-turn Editing.
- Thinking Process: Understanding thoughts and signatures (Gemini 3 Pro).
- Recipes: Extensive collection of examples (Logos, Stickers, Mockups, Comics, etc.).
- Source Code: Deep inspection of SDK internals.
Available Models
gemini-2.5-flash-image(Nano Banana): Fast, high-quality generation and editing. Best for most use cases.gemini-3-pro-image-preview(Nano Banana Pro): Highest fidelity, supports2Kand4Kresolution, complex prompt adherence, and grounding.
Common Workflows
1. Fast Generation
response = client.models.generate_content(
model='gemini-2.5-flash-image',
contents='A cute robot eating a banana',
config=types.GenerateContentConfig(
response_modalities=['IMAGE']
)
)2. High-Quality Editing
response = client.models.generate_content(
model='gemini-3-pro-image-preview',
contents=[
types.Part.from_uri(file_uri='gs://.../shoe.jpg', mime_type='image/jpeg'),
"Change the color of the shoe to neon green."
],
config=types.GenerateContentConfig(response_modalities=['IMAGE'])
)