nano-banana-2▌
inference-sh/skills · updated Apr 8, 2026
Generate images with Google Gemini 3.1 Flash Image Preview via inference.sh CLI.
Nano Banana 2 - Gemini 3.1 Flash Image Preview
Generate images with Google Gemini 3.1 Flash Image Preview via inference.sh CLI.
Quick Start
Requires inference.sh CLI (
infsh). Install instructions
infsh login
infsh app run google/gemini-3-1-flash-image-preview --input '{"prompt": "a banana in space, photorealistic"}'
Examples
Basic Text-to-Image
infsh app run google/gemini-3-1-flash-image-preview --input '{
"prompt": "A futuristic cityscape at sunset with flying cars"
}'
Multiple Images
infsh app run google/gemini-3-1-flash-image-preview --input '{
"prompt": "Minimalist logo design for a coffee shop",
"num_images": 4
}'
Custom Aspect Ratio
infsh app run google/gemini-3-1-flash-image-preview --input '{
"prompt": "Panoramic mountain landscape with northern lights",
"aspect_ratio": "16:9"
}'
Image Editing (with input images)
infsh app run google/gemini-3-1-flash-image-preview --input '{
"prompt": "Add a rainbow in the sky",
"images": ["https://example.com/landscape.jpg"]
}'
High Resolution (4K)
infsh app run google/gemini-3-1-flash-image-preview --input '{
"prompt": "Detailed illustration of a medieval castle",
"resolution": "4K"
}'
With Google Search Grounding
infsh app run google/gemini-3-1-flash-image-preview --input '{
"prompt": "Current weather in Tokyo visualized as an artistic scene",
"enable_google_search": true
}'
Input Options
| Parameter | Type | Description |
|---|---|---|
prompt |
string | Required. What to generate or change |
images |
array | Input images for editing (up to 14). Supported: JPEG, PNG, WebP |
num_images |
integer | Number of images to generate |
aspect_ratio |
string | Output ratio: "1:1", "16:9", "9:16", "4:3", "3:4", "auto" |
resolution |
string | "1K", "2K", "4K" (default: 1K) |
output_format |
string | Output format for images |
enable_google_search |
boolean | Enable real-time info grounding (weather, news, etc.) |
Output
| Field | Type | Description |
|---|---|---|
images |
array | The generated or edited images |
description |
string | Text description or response from the model |
output_meta |
object | Metadata about inputs/outputs for pricing |
Prompt Tips
Styles: photorealistic, illustration, watercolor, oil painting, digital art, anime, 3D render
Composition: close-up, wide shot, aerial view, macro, portrait, landscape
Lighting: natural light, studio lighting, golden hour, dramatic shadows, neon
Details: add specific details about textures, colors, mood, atmosphere
Sample Workflow
# 1. Generate sample input to see all options
infsh app sample google/gemini-3-1-flash-image-preview --save input.json
# 2. Edit the prompt
# 3. Run
infsh app run google/gemini-3-1-flash-image-preview --input input.json
Python SDK
from inferencesh import inference
client = inference()
# Basic generation
result = client.run({
"app": "google/gemini-3-1-flash-image-preview@0c7ma1ex",
"input": {
"prompt": "A banana in space, photorealistic"
}
})
print(result["output"])
# Stream live updates
for update in client.run({
"app": "google/gemini-3-1-flash-image-preview@0c7ma1ex",
"input": {
"prompt": "A futuristic cityscape at sunset"
}
}, stream=True):
if update.get("progress"):
print(f"progress: {update['progress']}%")
if update.get("output"):
print(f"output: {update['output']}")
Related Skills
# Original Nano Banana (Gemini 3 Pro Image, Gemini 2.5 Flash Image)
npx skills add inference-sh/skills@nano-banana
# Full platform skill (all 150+ apps)
npx skills add inference-sh/skills@infsh-cli
# All image generation models
npx skills add inference-sh/skills@ai-image-generation
Browse all image apps: infsh app list --category image
Documentation
- Running Apps - How to run apps via CLI
- Streaming Results - Real-time progress updates
- File Handling - Working with images
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★37 reviews- ★★★★★Evelyn Agarwal· Dec 28, 2024
nano-banana-2 is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Pratham Ware· Dec 24, 2024
nano-banana-2 fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yusuf Wang· Dec 20, 2024
nano-banana-2 fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Chaitanya Patil· Dec 16, 2024
Keeps context tight: nano-banana-2 is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Kiara Iyer· Dec 12, 2024
Keeps context tight: nano-banana-2 is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Michael Sanchez· Nov 19, 2024
Solid pick for teams standardizing on skills: nano-banana-2 is focused, and the summary matches what you get after install.
- ★★★★★Kabir Torres· Nov 11, 2024
Keeps context tight: nano-banana-2 is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Piyush G· Nov 7, 2024
nano-banana-2 has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Diya Torres· Nov 3, 2024
nano-banana-2 has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Shikha Mishra· Oct 26, 2024
Solid pick for teams standardizing on skills: nano-banana-2 is focused, and the summary matches what you get after install.
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