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Nano Banana Pro Zh

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L-LesterYu
nano-banana-pro-zh

使用 Nano Banana Pro (Gemini 3 Pro Image) 生成/编辑图像。用于图像创建或修改请求，支持文生图和图生图；支持 1K/2K/4K 分辨率；可使用 --input-image 参数编辑现有图像。

Overview

PublisherL-LesterYu
RepositoryOpenClaw-hot-skills-zh
Skill namenano-banana-pro-zh
Stars
57
Forks
9
Bundled files
2
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by L-LesterYu on GitHub. Read the source before you install it.

Installation

Install the Nano Banana Pro Zh AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/L-LesterYu/OpenClaw-hot-skills-zh/tree/main/skills/nano-banana-pro-zh
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/L-LesterYu/OpenClaw-hot-skills-zh.git /tmp/OpenClaw-hot-skills-zh
mkdir -p .claude/skills
cp -r /tmp/OpenClaw-hot-skills-zh/skills/nano-banana-pro-zh .claude/skills/nano-banana-pro-zh
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nano Banana Pro Zh in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nano Banana Pro Zh on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nano Banana Pro Zh is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Nano Banana Pro 图像生成与编辑

使用 Google 的 Nano Banana Pro API (Gemini 3 Pro Image) 生成新图像或编辑现有图像。

使用方法

使用绝对路径运行脚本（请勿先 cd 到技能目录）：

生成新图像：

bash
uv run ~/.codex/skills/nano-banana-pro-zh/scripts/generate_image.py --prompt "你的图像描述" --filename "输出文件名.png" [--resolution 1K|2K|4K] [--api-key KEY]

编辑现有图像：

bash
uv run ~/.codex/skills/nano-banana-pro-zh/scripts/generate_image.py --prompt "编辑指令" --filename "输出文件名.png" --input-image "输入图像路径.png" [--resolution 1K|2K|4K] [--api-key KEY]

重要提示： 始终从用户当前工作目录运行，以便图像保存在用户工作位置，而不是技能目录中。

默认工作流（草稿 → 迭代 → 最终）

目标：快速迭代，在提示词正确之前不要浪费时间生成 4K 图像。

  • 草稿 (1K)：快速反馈循环
    • uv run ~/.codex/skills/nano-banana-pro-zh/scripts/generate_image.py --prompt "<草稿提示词>" --filename "yyyy-mm-dd-hh-mm-ss-draft.png" --resolution 1K
  • 迭代：以小幅差异调整提示词；每次运行保持文件名更新
    • 如果是编辑：每次迭代使用相同的 --input-image 直到满意为止
  • 最终 (4K)：仅在提示词确定后使用
    • uv run ~/.codex/skills/nano-banana-pro-zh/scripts/generate_image.py --prompt "<最终提示词>" --filename "yyyy-mm-dd-hh-mm-ss-final.png" --resolution 4K

分辨率选项

Gemini 3 Pro Image API 支持三种分辨率（K 必须大写）：

  • 1K（默认）- 约 1024px 分辨率
  • 2K - 约 2048px 分辨率
  • 4K - 约 4096px 分辨率

将用户请求映射到 API 参数：

  • 未提及分辨率 → 1K
  • "低分辨率"、"1080"、"1080p"、"1K" → 1K
  • "2K"、"2048"、"普通"、"中等分辨率" → 2K
  • "高分辨率"、"高清"、"hi-res"、"4K"、"超清" → 4K

API 密钥

脚本按以下顺序检查 API 密钥：

  1. --api-key 参数（如果用户在聊天中提供了密钥）
  2. GEMINI_API_KEY 环境变量

如果两者都不可用，脚本将退出并显示错误消息。

预检与常见故障（快速修复）

  • 预检：

    • command -v uv（必须存在）
    • test -n \"$GEMINI_API_KEY\"（或传递 --api-key）
    • 如果是编辑：test -f "path/to/input.png"

  • 常见故障：

    • 错误：未提供 API 密钥。 → 设置 GEMINI_API_KEY 或传递 --api-key
    • 加载输入图像时出错： → 路径错误或文件不可读；验证 --input-image 指向真实图像
    • "配额/权限/403" 类 API 错误 → 密钥错误、无访问权限或配额超限；尝试使用不同的密钥/账户

文件名生成

使用以下模式生成文件名：yyyy-mm-dd-hh-mm-ss-name.png

格式： {时间戳}-{描述性名称}.png

  • 时间戳：当前日期/时间，格式为 yyyy-mm-dd-hh-mm-ss（24小时制）
  • 名称：带连字符的描述性小写文本
  • 保持描述部分简洁（通常 1-5 个词）
  • 使用用户提示或对话中的上下文
  • 如果不清楚，使用随机标识符（例如 x9k2、a7b3）

示例：

  • 提示 "宁静的日式花园" → 2025-11-23-14-23-05-japanese-garden.png
  • 提示 "山上的日落" → 2025-11-23-15-30-12-sunset-mountains.png
  • 提示 "创建一个机器人图像" → 2025-11-23-16-45-33-robot.png
  • 上下文不明确 → 2025-11-23-17-12-48-x9k2.png

图像编辑

当用户想要修改现有图像时：

  1. 检查他们是否提供了图像路径或引用了当前目录中的图像
  2. 使用 --input-image 参数和图像路径
  3. 提示词应包含编辑指令（例如 "让天空更戏剧化"、"移除人物"、"改为卡通风格"）
  4. 常见编辑任务：添加/移除元素、改变风格、调整颜色、模糊背景等

提示词处理

生成： 将用户的图像描述原样传递给 --prompt。仅在明显不足时进行修改。

编辑： 在 --prompt 中传递编辑指令（例如 "在天空中添加彩虹"、"让它看起来像水彩画"）

在这两种情况下都要保留用户的创意意图。

提示词模板（高成功率）

当用户表达模糊或编辑需要精确时使用模板。

  • 生成模板：

    • "创建图像：<主体>。风格：<风格>。构图：<镜头/拍摄>。光线：<光线>。背景：<背景>。调色板：<调色板>。避免：<列表>。"

  • 编辑模板（保留其他所有内容）：

    • "仅更改：<单个更改>。完全保持：主体、构图/裁剪、姿势、光线、调色板、背景、文本和整体风格。不要添加新对象。如果存在文本，保持不变。"

输出

  • 将 PNG 保存到当前目录（如果文件名包含目录，则保存到指定路径）
  • 脚本输出生成图像的完整路径
  • 不要读回图像 - 只需通知用户保存的路径

示例

生成新图像：

bash
uv run ~/.codex/skills/nano-banana-pro-zh/scripts/generate_image.py --prompt "一个带有樱花的宁静日式花园" --filename "2025-11-23-14-23-05-japanese-garden.png" --resolution 4K

编辑现有图像：

bash
uv run ~/.codex/skills/nano-banana-pro-zh/scripts/generate_image.py --prompt "让天空更具戏剧性，添加暴风云" --filename "2025-11-23-14-25-30-dramatic-sky.png" --input-image "original-photo.jpg" --resolution 2K

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Nano Banana Pro Zh AI skill do?

使用 Nano Banana Pro (Gemini 3 Pro Image) 生成/编辑图像。用于图像创建或修改请求，支持文生图和图生图；支持 1K/2K/4K 分辨率；可使用 --input-image 参数编辑现有图像。

Why use Nano Banana Pro Zh on TypingMind?

Because you install it once and use it with any model. Nano Banana Pro Zh is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nano Banana Pro Zh in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/L-LesterYu/OpenClaw-hot-skills-zh/tree/main/skills/nano-banana-pro-zh. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Nano Banana Pro Zh?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nano Banana Pro Zh?

As many as you like. As long as a model supports skills, you can use Nano Banana Pro Zh with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nano Banana Pro Zh AI skill free?

Yes. It is published on GitHub by L-LesterYu under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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