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tuzi-nano-banana图兹纳米香蕉

Agent Skill

tuzi-nano-banana 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。

总安装

13,603

周安装

545

GitHub Stars

1

下载量

4,404
OpenClaw

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:tuzi-nano-banana(图兹纳米香蕉)
来源仓库:https://github.com/ljquan/tuzi-nano-banana
安装命令:
openclaw skills install tuzi-nano-banana
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 tuzi-nano-banana

简介

tuzi-nano-banana 用于图像生成与编辑任务,支持多平台 API。

  • 适合在 OpenClaw 中实现文字转图像或图像转图像编辑。
  • 提供 1K/2K/4K 分辨率选项,集成 Tuzi、Gemini、OpenAI 等接口。
  • 使用时应确认素材路径、版权授权及导出格式要求。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
tuzi-nano-banana
description
Generate/edit images via Tuzi API (default), Google Gemini, OpenAI, DashScope, Replicate. Text-to-image + image-to-image editing; 1K/2K/4K resolution. Use for image create/modify/edit requests incl. --input-image.

Nano Banana Image Generation & Editing

Multi-provider image generation and editing. Default provider: Tuzi (兔子API, api.tu-zi.com).

Script Directory

Agent Execution:

  1. SKILL_DIR = this SKILL.md file's directory
  2. Script path = ${SKILL_DIR}/scripts/main.ts

Usage

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

Generate new image:

npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "your image description" --filename "output.png" [--resolution 1K|2K|4K] [--provider tuzi|google|openai|dashscope|replicate] [--model MODEL_ID]

Edit existing image:

npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "editing instructions" --filename "output.png" --input-image "path/to/input.png" [--resolution 1K|2K|4K]

Important: Always run from the user's current working directory so images are saved where the user is working.

Default Workflow (draft → iterate → final)

Goal: fast iteration without burning time on 4K until the prompt is correct.

  • Draft (1K): quick feedback loop

- npx -y bun ${SKILL_DIR}/scripts/main.ts --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

- npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "<final prompt>" --filename "yyyy-mm-dd-hh-mm-ss-final.png" --resolution 4K

Options

OptionDescription
--prompt <text>, -pPrompt text (required)
--filename <path>, -fOutput filename (required)
--input-image <path>, -iInput image for editing
`--resolution 1K\2K\4K, -r`Output resolution (default: 1K)
`--provider tuzi\google\openai\dashscope\replicate`Force provider (default: auto-detect, Tuzi first)
--model <id>, -mModel ID
--api-key <key>, -kAPI key (overrides env var)

Resolution Options

  • 1K (default) - ~1024px resolution
  • 2K - ~2048px resolution
  • 4K - ~4096px resolution

Map user requests:

  • 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

Provider Selection

  1. --provider specified → use it
  2. --api-key provided (no --provider) → Google (direct Gemini API)
  3. Only one API key available → use that provider
  4. Multiple available → Tuzi first

Tuzi Models

Model IDQualityNotes
gemini-3-pro-image-preview1k/2k/4kDefault. High quality
gemini-3.1-flash-image-preview1k/2k/4kFast, extended aspect ratios
gemini-3-pro-image-preview-vip1k built-inVIP
gemini-3-pro-image-preview-2k-vip2k built-inVIP
gemini-3-pro-image-preview-4k-vip4k built-inVIP

Environment Variables

VariableDescription
TUZI_API_KEYTuzi API key (https://api.tu-zi.com)
TUZI_IMAGE_MODELTuzi default model
TUZI_BASE_URLCustom Tuzi endpoint
GEMINI_API_KEYGoogle Gemini API key
GOOGLE_API_KEYGoogle API key (alias)
OPENAI_API_KEYOpenAI API key
DASHSCOPE_API_KEYDashScope API key
REPLICATE_API_TOKENReplicate API token

Load Priority: CLI --api-key > env vars > <cwd>/.tuzi-skills/.env > ~/.tuzi-skills/.env

Image Editing

When the user wants to modify an existing image:

  1. Use --input-image parameter with the path to the image
  2. The prompt should contain editing instructions
  3. Resolution auto-detects from input image size if not specified

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")

Prompt Templates

  • Generation: "Create an image of: <subject>. Style: <style>. Composition: <camera/shot>. Lighting: <lighting>. Background: <background>."
  • Editing: "Change ONLY: <single change>. Keep identical: subject, composition, pose, lighting, color palette, background, text, and overall style."

Filename Generation

Pattern: yyyy-mm-dd-hh-mm-ss-name.png

  • Timestamp: Current date/time in 24-hour format
  • Name: Descriptive lowercase text with hyphens (1-5 words)

Preflight + Common Failures

  • command -v npx (must exist)
  • API key must be available (env or --api-key)
  • If editing: input image must exist

Output

  • Saves PNG to current directory (or specified path)
  • Script outputs the full path to the generated image
  • Do not read the image back - just inform the user of the saved path

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

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按下载量换算3,614

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可疑

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可疑

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权限和风险

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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