Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image). Use for image create/modify requests incl. edits. Supports text-to-image + image-to-image; 1K/2K/4K; use --input-image.
---
name: nano-banana-pro
description: Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image). Use for image create/modify requests incl. edits. Supports text-to-image + image-to-image; 1K/2K/4K; use --input-image.
---
# Nano Banana Pro Image Generation & Editing
Generate new images or edit existing ones using Google's Nano Banana Pro API (Gemini 3 Pro Image).
## Usage
Run the script using absolute path (do NOT cd to skill directory first):
**Generate new image:**
```bash
uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "your image description" --filename "output-name.png" [--resolution 1K|2K|4K] [--api-key KEY]
```
**Edit existing image:**
```bash
uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "editing instructions" --filename "output-name.png" --input-image "path/to/input.png" [--resolution 1K|2K|4K] [--api-key KEY]
```
**Important:** Always run from the user's current working directory so images are saved where the user is working, not in the skill directory.
## Default Workflow (draft → iterate → final)
Goal: fast iteration without burning time on 4K until the prompt is correct.
- Draft (1K): quick feedback loop
- `uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "<draft prompt>" --filename "yyyy-mm-dd-hh-mm-ss-draft.png" --resolution 1K`
- Iterate: adjust prompt in small diffs; keep filename new per run
- If editing: keep the same `--input-image` for every iteration until you’re happy.
- Final (4K): only when prompt is locked
- `uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "<final prompt>" --filename "yyyy-mm-dd-hh-mm-ss-final.png" --resolution 4K`
## Resolution Options
The Gemini 3 Pro Image API supports three resolutions (uppercase K required):
- **1K** (default) - ~1024px resolution
- **2K** - ~2048px resolution
- **4K** - ~4096px resolution
Map user requests to API parameters:
- No mention of resolution → `1K`
- "low resolution", "1080", "1080p", "1K" → `1K`
- "2K", "2048", "normal", "medium resolution" → `2K`
- "high resolution", "high-res", "hi-res", "4K", "ultra" → `4K`
## API Key
The script checks for API key in this order:
1. `--api-key` argument (use if user provided key in chat)
2. `GEMINI_API_KEY` environment variable
If neither is available, the script exits with an error message.
## Preflight + Common Failures (fast fixes)
- Preflight:
- `command -v uv` (must exist)
- `test -n \"$GEMINI_API_KEY\"` (or pass `--api-key`)
- If editing: `test -f \"path/to/input.png\"`
- Common failures:
- `Error: No API key provided.` → set `GEMINI_API_KEY` or pass `--api-key`
- `Error loading input image:` → wrong path / unreadable file; verify `--input-image` points to a real image
- “quota/permission/403” style API errors → wrong key, no access, or quota exceeded; try a different key/account
## Filename Generation
Generate filenames with the pattern: `yyyy-mm-dd-hh-mm-ss-name.png`
**Format:** `{timestamp}-{descriptive-name}.png`
- Timestamp: Current date/time in format `yyyy-mm-dd-hh-mm-ss` (24-hour format)
- Name: Descriptive lowercase text with hyphens
- Keep the descriptive part concise (1-5 words typically)
- Use context from user's prompt or conversation
- If unclear, use random identifier (e.g., `x9k2`, `a7b3`)
Examples:
- Prompt "A serene Japanese garden" → `2025-11-23-14-23-05-japanese-garden.png`
- Prompt "sunset over mountains" → `2025-11-23-15-30-12-sunset-mountains.png`
- Prompt "create an image of a robot" → `2025-11-23-16-45-33-robot.png`
- Unclear context → `2025-11-23-17-12-48-x9k2.png`
## Image Editing
When the user wants to modify an existing image:
1. Check if they provide an image path or reference an image in the current directory
2. Use `--input-image` parameter with the path to the image
3. The prompt should contain editing instructions (e.g., "make the sky more dramatic", "remove the person", "change to cartoon style")
4. Common editing tasks: add/remove elements, change style, adjust colors, blur background, etc.
## Prompt Handling
**For generation:** Pass user's image description as-is to `--prompt`. Only rework if clearly insufficient.
**For editing:** Pass editing instructions in `--prompt` (e.g., "add a rainbow in the sky", "make it look like a watercolor painting")
Preserve user's creative intent in both cases.
## Prompt Templates (high hit-rate)
Use templates when the user is vague or when edits must be precise.
- Generation template:
- “Create an image of: <subject>. Style: <style>. Composition: <camera/shot>. Lighting: <lighting>. Background: <background>. Color palette: <palette>. Avoid: <list>.”
- Editing template (preserve everything else):
- “Change ONLY: <single change>. Keep identical: subject, composition/crop, pose, lighting, color palette, background, text, and overall style. Do not add new objects. If text exists, keep it unchanged.”
## Output
- Saves PNG to current directory (or specified path if filename includes directory)
- Script outputs the full path to the generated image
- **Do not read the image back** - just inform the user of the saved path
## Examples
**Generate new image:**
```bash
uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "A serene Japanese garden with cherry blossoms" --filename "2025-11-23-14-23-05-japanese-garden.png" --resolution 4K
```
**Edit existing image:**
```bash
uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "make the sky more dramatic with storm clouds" --filename "2025-11-23-14-25-30-dramatic-sky.png" --input-image "original-photo.jpg" --resolution 2K
```
don't have the plugin yet? install it then click "run inline in claude" again.
added explicit input definitions for api key and gemini endpoint with rate limit notes, expanded procedure into 7 numbered steps with input/output pairs, extracted 5 decision points covering api key fallback, image vs generation mode, filename handling, prompt clarity, and rate limit behavior, and documented output contract with file size expectations and error message format.
Generate new images or edit existing ones using Google's Nano Banana Pro API (Gemini 3 Pro Image). Use this skill when the user asks for image creation ("draw me a...", "generate an image of...") or image modification ("make the sky darker", "change this to watercolor"). Supports both text-to-image and image-to-image workflows with three resolution tiers (1K, 2K, 4K). The default workflow starts at 1K for fast iteration, then scales to 4K once the prompt is locked.
Required:
--prompt: Text description (generation) or editing instructions (image-to-image). String, no length limit enforced by skill but keep under 500 chars for best results.--filename: Output PNG filename. Format: yyyy-mm-dd-hh-mm-ss-descriptive-name.png. String.Optional:
--input-image: Path to an existing image for editing. String (absolute or relative path). Skip for generation-only requests.--resolution: One of 1K, 2K, or 4K (uppercase). Defaults to 1K if omitted.--api-key: Gemini API key. String. Override environment variable if provided.External Connections:
GEMINI_API_KEY environment variable or pass --api-key flag. OAuth scope: generative-ai-platform.googleapis.com. No rate limits documented publicly; expect standard Google Cloud quotas (typically 60 req/min for free tier, higher for paid).Environment:
GEMINI_API_KEY: Must be set or passed as --api-key. If neither exists, skill exits with error.uv: UV Python runner must be installed and in PATH.Context:
Validate prerequisites (input: user request, environment):
command -v uv exists in PATH.GEMINI_API_KEY env var OR --api-key argument is provided. If neither, exit with "Error: No API key provided."--input-image is specified, verify file exists and is readable. If not, exit with "Error loading input image: [path]".Parse or infer resolution (input: user request, --resolution flag):
1K.1K.2K.4K.--resolution flag provided, use that value (case-insensitive, normalize to uppercase).Generate or infer filename (input: user request, --filename flag):
--filename provided, use it as-is.yyyy-mm-dd-hh-mm-ss-{descriptive-name}.png.x9k2).Prepare prompt (input: user request, --input-image flag):
--input-image): pass user's image description as-is to --prompt. Only rework if clearly insufficient or incoherent.--input-image provided): expect editing instructions in --prompt (e.g., "make the sky more dramatic", "remove the person", "change to cartoon style"). Optionally expand using the editing template: "Change ONLY: [single change]. Keep identical: subject, composition/crop, pose, lighting, color palette, background, text, and overall style. Do not add new objects."Execute API call (input: prompt, filename, resolution, input-image path, API key):
uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "{prompt}" --filename "{filename}" --resolution {resolution} [--input-image "{input-image}"] [--api-key "{api-key}"]Handle API response (input: API response, network conditions):
Confirm to user (input: success/failure from step 6):
Resolution fallback:
1K and log a warning.API key source:
--api-key argument is provided, use it (highest priority).GEMINI_API_KEY environment variable is set, use it.Image editing vs. generation:
--input-image path is provided and file exists, treat request as image editing. Prompt should contain editing instructions.--input-image is not provided or file does not exist, treat request as text-to-image generation. Prompt should contain image description.--input-image is provided but file does not exist, fail fast with "Error loading input image: [path]".Filename handling:
--filename with directory path (e.g., subdir/image.png), create subdirectory if it does not exist and save there.Prompt clarity:
Rate limit / quota:
Network timeout:
Empty result set:
Success case:
yyyy-mm-dd-hh-mm-ss-descriptive-name.png (if auto-generated) or user-provided filename./Users/alice/projects/2025-11-23-14-23-05-japanese-garden.png).Failure case: