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nanobanana2nanobanana2 图像

Agent Skill

nanobanana2 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:nanobanana2(nanobanana2 图像)
来源仓库:https://github.com/zealman2025/nanobanana2
安装命令:
openclaw skills install nanobanana2
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install nanobanana2

简介

使用 nanobanana2 生成或编辑图像(Gemini 3.1 Flash)。

  • 支持文本到图像与图像到图像编辑请求。
  • 适用于快速原型设计与视觉内容制作。
  • 需确认 API 调用配额与输出分辨率限制。
  • 注意版权素材使用合规性审查。nanobanana2 属于效率类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
nanobanana2
description
Generate/edit images with nanobanana2 (Gemini 3.1 Flash Image preview). Use for image create/modify requests incl. edits. Supports text-to-image + image-to-image; 512/1K/2K/4K; aspect ratios; use --input-image.

nanobanana2 Image Generation & Editing

Generate new images or edit existing ones using Google's nanobanana2 API (Gemini 3.1 Flash Image preview, model id gemini-3.1-flash-image-preview).

Usage

Run the script using absolute path (do NOT cd to skill directory first):

Generate new image:

uv run "$HOME/.openclaw/skills/skills/nanobanana2/scripts/generate_image.py" --prompt "your image description" --filename "output-name.png" [--resolution 512|1K|2K|4K] [--aspect-ratio RATIO] [--api-key KEY]

Edit existing image:

uv run "$HOME/.openclaw/skills/nanobanana2/scripts/generate_image.py" --prompt "editing instructions" --filename "output-name.png" --input-image "path/to/input.png" [--resolution 512|1K|2K|4K] [--aspect-ratio RATIO] [--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 "$HOME/.openclaw/skills/nanobanana2/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 "$HOME/.openclaw/skills/nanobanana2/scripts/generate_image.py" --prompt "<final prompt>" --filename "yyyy-mm-dd-hh-mm-ss-final.png" --resolution 4K

Resolution (image_size)

nanobanana2 accepts these image_size values (see docs): 512, 1K, 2K, 4K. Use uppercase K for 1K/2K/4K; 512 has no K suffix (smaller output, Flash-only).

  • 512 — lowest tier (~512px shortest side per aspect table); good for thumbnails / fastest drafts
  • 1K (default) — ~1024px class
  • 2K — ~2048px class
  • 4K — ~4096px class

Map user requests:

  • No mention of resolution → 1K
  • "tiny", "thumbnail", "512", "low pixel" → 512
  • "low resolution", "1080", "1080p", "1K" → 1K
  • "2K", "2048", "normal", "medium resolution" → 2K
  • "high resolution", "high-res", "hi-res", "4K", "ultra" → 4K

Aspect ratio (aspect_ratio)

Optional. If omitted, the API defaults apply (e.g. 1:1 for pure text-to-image, or match input image when editing — per API behavior).

Supported values for Gemini 3.1 Flash Image: 1:1, 1:4, 1:8, 2:3, 3:2, 3:4, 4:1, 4:3, 4:5, 5:4, 8:1, 9:16, 16:9, 21:9.

Pass explicitly when the user asks for wallpaper, story, reel, banner, etc., e.g. --aspect-ratio 9:16 or --aspect-ratio 16:9.

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
  • Generated images include SynthID watermark (API policy).

Examples

Generate new image:

uv run "$HOME/.openclaw/skills/nanobanana2/scripts/generate_image.py" --prompt "A serene Japanese garden with cherry blossoms" --filename "2025-11-23-14-23-05-japanese-garden.png" --resolution 4K --aspect-ratio 16:9

Edit existing image:

uv run "$HOME/.openclaw/skills/nanobanana2/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

适合场景

01

文本生成图片

02

图片风格化

03

产品图和创意图

04

需要 FLUX 模型时

能力概览

能力 1

调用 FLUX 图像模型

能力 2

支持文本生图和图像改写

能力 3

覆盖 LoRA 或风格适配

能力 4

适合创意视觉生成

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

73.64%
按下载量换算1,685

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敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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