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.
View on GitHubSiTaggart/claude-devbench
devbench
January 21, 2026
Select agents to install to:
npx add-skill https://github.com/SiTaggart/claude-devbench/blob/main/plugins/devbench/skills/gemini-imagegen/SKILL.md -a claude-code --skill gemini-imagegenInstallation paths:
.claude/skills/gemini-imagegen/# 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],
config=types.GenerateContentConfig(
response_modalities=['TEXT', 'IMAGE'],
image_config=types.ImageConfig(
aspect_ratio="16:9", # Wide format
image_size="2K" # Higher resolution
),
)
)
```
### Resolution Examples
```python
# 1K (default) - Fast, good for previews
image_config=types.ImageConfig(image_size="1K")
# 2K - Balanced quality/speed
image_config=types.ImageConfig(image_size="2K")
# 4K - Maximum quality, slower
image_config=typ