nano-banana-veo

Generate images with Nano Banana (Gemini 3 Pro Image) and animate them into videos with Veo 3.1. Use when creating AI-generated visual assets for websites, landing pages, or marketing materials that need both static images and animated video content. Requires GEMINI_API_KEY environment variable.

3,891 stars

Best use case

nano-banana-veo is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Generate images with Nano Banana (Gemini 3 Pro Image) and animate them into videos with Veo 3.1. Use when creating AI-generated visual assets for websites, landing pages, or marketing materials that need both static images and animated video content. Requires GEMINI_API_KEY environment variable.

Teams using nano-banana-veo should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/nano-banana-veo/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/bermyboystechsolutions/nano-banana-veo/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/nano-banana-veo/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How nano-banana-veo Compares

Feature / Agentnano-banana-veoStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Generate images with Nano Banana (Gemini 3 Pro Image) and animate them into videos with Veo 3.1. Use when creating AI-generated visual assets for websites, landing pages, or marketing materials that need both static images and animated video content. Requires GEMINI_API_KEY environment variable.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Nano Banana + Veo Workflow

Generate premium images and animate them into cinematic videos using Google's Gemini API.

## Quick Start

```bash
# Generate just an image
uv run {baseDir}/scripts/generate.py \
  --image-prompt "iPhone floating against dark background, premium product photography" \
  --output-image hero.png

# Generate image + video
uv run {baseDir}/scripts/generate.py \
  --image-prompt "iPhone floating against dark background, premium product photography" \
  --video-prompt "iPhone gently rotating and floating, smooth seamless motion, cinematic lighting" \
  --output-image hero.png \
  --output-video hero.mp4 \
  --video-duration 4
```

## Parameters

| Parameter | Required | Default | Description |
|-----------|----------|---------|-------------|
| `--image-prompt` | ✅ | - | Prompt for image generation |
| `--video-prompt` | ❌ | image-prompt | Prompt for video animation |
| `--output-image` | ✅ | - | Output path for image (.png/.jpg) |
| `--output-video` | ❌ | - | Output path for video (.mp4) |
| `--resolution` | ❌ | 1K | Image resolution: 1K, 2K, 4K |
| `--video-duration` | ❌ | 4 | Video seconds (4-8, Veo requirement) |
| `--video-resolution` | ❌ | 720p | Video quality: 720p, 1080p, 4k |

## Prerequisites

- `GEMINI_API_KEY` environment variable set
- `google-genai` and `requests` Python packages

## Installation

```bash
# Install dependencies
pip install google-genai requests

# Or with uv
uv pip install google-genai requests
```

## Workflow Examples

### Hero Section Asset
```bash
uv run {baseDir}/scripts/generate.py \
  --image-prompt "Sleek iPhone 15 Pro showing Islamic prayer app interface, dark green and gold accents, floating against pure black background, dramatic studio lighting, premium product photography, 8K quality" \
  --video-prompt "iPhone floating and gently rotating in space, subtle purple glow, smooth seamless boomerang motion, premium cinematic lighting, dark background" \
  --output-image namazlock-hero.png \
  --output-video namazlock-hero.mp4 \
  --video-duration 4
```

### Feature Showcase
```bash
uv run {baseDir}/scripts/generate.py \
  --image-prompt "Minimalist smartphone displaying prayer time interface, clean UI, dark mode with gold accents, studio lighting" \
  --output-image feature.png \
  --resolution 2K
```

## Output

- Images are saved in PNG format
- Videos are saved in MP4 format (H.264 encoded)
- Veo generation takes ~30-60 seconds (async polling handled automatically)

## Notes

- Veo 3.1 requires 4-8 second duration (enforced by API)
- Video generation is asynchronous — script handles polling automatically
- Use `{baseDir}` placeholder in paths — it resolves to the skill directory

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