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morfeo-nano-banana-pro莫菲奥纳米香蕉专业版

Agent Skill

morfeo-nano-banana-pro 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:morfeo-nano-banana-pro(莫菲奥纳米香蕉专业版)
来源仓库:https://github.com/pauldelavallaz/morfeo-nano-banana-pro
安装命令:
openclaw skills install morfeo-nano-banana-pro
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 morfeo-nano-banana-pro

简介

使用 Google 的 Nano Banana Pro (Gemini 3 Pro Image) API 生成和编辑图像。当用户要求生成、创建、编辑、修改、更改、更改或更新图像时使用。当用户引用现有图像文件并要求以任何方式修改它时也可使用(例如,“修改此图像”、“更改背景”、“用 Y 替换 X”)。支持文本到图像生成和图像到图像编辑,分辨率可配置(默认为 1K,高分辨率为 2K 或 4K)。不要先读取图像文件 - 直接通过 --input-image 参数使用此技能。

SKILL.md

name
nano-banana-pro
description
Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.

Nano Banana Pro Image Generation & Editing

Generate new images or edit existing ones using Google's Nano Banana Pro API (Gemini 3 Pro Image).

API Technical Specification

Endpoints & Authentication

Google AI Studio (Public Preview):

POST https://generativelanguage.googleapis.com/v1beta/models/gemini-3-pro-image-preview:generateContent?key=${API_KEY}

Vertex AI (Enterprise):

POST https://${REGION}-aiplatform.googleapis.com/v1/projects/${PROJECT_ID}/locations/${REGION}/publishers/google/models/gemini-3-pro-image-preview:predict

Model IDs

  • API: gemini-3-pro-image-preview
  • SDK interno: nanobanana-pro-001

Parameters

ParameterValuesDescription
aspect_ratio1:1, 4:3, 3:4, 16:9, 9:16Output aspect ratio
output_mime_typeimage/png, image/jpegOutput format
reference_imagesArray (max 14)Reference images for consistency
reference_typeCHARACTER, STYLE, SUBJECTHow to use reference
person_generationALLOW_ADULT, DONT_ALLOW, FILTER_SENSITIVEPerson generation policy
image_size1K, 2K, 4KOutput resolution

Reference Types

  • STYLE: Transfer visual style, color palette, mood from reference
  • CHARACTER: Maintain facial features, traits consistency across images
  • SUBJECT: Keep the subject/product consistent (use for product photography!)

Advanced Capabilities

  • Text Rendering: Native text rendering without spelling errors
  • In-context Editing: Send existing image + modification prompt (automatic in-painting)
  • High Resolution: Native upscale to 4K via upscale: true

Usage

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

Generate new image:

uv run ~/.clawdbot/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:

uv run ~/.clawdbot/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]

With reference image (product/style/character consistency):

uv run ~/.clawdbot/skills/nano-banana-pro/scripts/generate_image.py \
  --prompt "your description" \
  --filename "output-name.png" \
  --reference-image "path/to/reference.jpg" \
  --reference-type SUBJECT|STYLE|CHARACTER \
  [--resolution 1K|2K|4K]

Important: Always run from the user's current working directory so images are saved where the user is working, not in the skill directory.

Resolution Options

  • 1K (default) - ~1024px resolution
  • 2K - ~2048px resolution (recommended for most uses)
  • 4K - ~4096px resolution (high quality)

Map user requests:

  • No mention → 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
  2. GEMINI_API_KEY environment variable

Filename Generation

Format: {timestamp}-{descriptive-name}.png

  • Timestamp: yyyy-mm-dd-hh-mm-ss (24-hour format)
  • Name: Descriptive lowercase with hyphens

Examples:

  • 2025-11-23-14-23-05-japanese-garden.png
  • 2025-11-23-15-30-12-sunset-mountains.png

Prompt Engineering Framework

You are an expert Prompt Engineer specializing in Nano Banana Pro. Transform basic user ideas and reference images into high-fidelity, descriptive prompts.

1. Input Analysis

When provided with a user idea and reference images, evaluate:

  • Subject Matter: Identify primary actors, objects, or focal points
  • Reference Utility: Determine if image provides composition (layout), style (aesthetic/texture), or character (specific features)
  • Text Requirements: Note any specific text to render within the image

2. Prompt Construction Framework

Structure optimized prompts using this hierarchy:

Core Subject & Action

Clear description of "who" or "what" is doing "what."

Style & Medium

Specify artistic medium:

  • Hyper-realistic photography
  • Oil painting
  • 3D render
  • Minimalist vector
  • Commercial food photography
  • Editorial style

Reference Integration

Explicitly instruct on how to use uploaded images:

"Retain the product packaging from the reference image as the hero element" "Apply the warm lighting aesthetic from Reference A"

Technical Details

Lighting:

  • Cinematic rim lighting
  • Soft diffused sunlight
  • Harsh strobes
  • Warm tungsten lighting
  • Golden hour warmth

Composition:

  • Wide-angle shot
  • Macro detail
  • Bird's-eye view
  • Shallow depth of field
  • Product as hero element

Color Theory:

  • Monochromatic blue
  • High-contrast complementary
  • Warm amber tones
  • Dark moody palette

Text Rendering: Use double quotes for specific text:

"The word 'FUTURE' written in bold, brushed-metal 3D lettering across the center"

3. Optimization Rules

DO:

  • Use descriptive positive language
  • Expand vague terms ("cool" → "iridescent", "pretty" → "ethereal", "realistic" → "photorealistic 8k texture")
  • Maintain consistency with reference images
  • Use powerful adjectives for mood ("gritty," "serene," "industrial," "whimsical")
  • Specify "8k texture detail" or "8k photorealistic detail" for quality

DON'T:

  • Use negative prompts (say what you want, not what you don't)
  • Contradict visual data in reference images
  • Use vague terms without expansion

4. Product Photography Best Practices

When generating images with products as protagonists:

  1. Always use --reference-type SUBJECT to maintain product consistency
  2. Describe the product prominently in the prompt:

> "Milkaut Crematto container with blue label and red lid prominently displayed"

  1. Position product as hero element:

> "the product container as co-star product placement" > "product container in sharp focus"

  1. Include product in scene naturally:

> "positioned next to", "beside", "prominently arranged"

Example Product Photography Prompt:

Hyper-realistic commercial food photography with a [PRODUCT NAME] container 
prominently displayed next to [FOOD ITEM], [food description], 
[setting/background], [lighting style], the [product] as hero element, 
8k photorealistic detail

5. Output Format

Provide the optimized prompt in English, without additional commentary.


Examples

Product + Food Scene

uv run ~/.clawdbot/skills/nano-banana-pro/scripts/generate_image.py \
  --prompt "Hyper-realistic commercial food photography with a Milkaut Crematto container prominently displayed next to a gourmet double smash burger with perfectly melted cheddar cheese cascading down juicy beef patties, artisan brioche bun, wisps of steam rising, dark moody background with dramatic rim lighting, the cream cheese container as hero product placement, 8k texture detail" \
  --filename "2026-01-28-product-burger.png" \
  --reference-image "product-photo.jpg" \
  --reference-type SUBJECT \
  --resolution 2K

Style Transfer

uv run ~/.clawdbot/skills/nano-banana-pro/scripts/generate_image.py \
  --prompt "Using the warm golden hour aesthetic from the reference, create a serene Japanese garden with cherry blossoms, koi pond reflecting soft pink petals, traditional wooden bridge, ethereal morning mist, 8k photorealistic detail" \
  --filename "2026-01-28-japanese-garden.png" \
  --reference-image "style-reference.jpg" \
  --reference-type STYLE \
  --resolution 2K

Image Editing

uv run ~/.clawdbot/skills/nano-banana-pro/scripts/generate_image.py \
  --prompt "Change the background to a dramatic sunset over mountains, maintain the subject in sharp focus" \
  --filename "2026-01-28-edited-sunset.png" \
  --input-image "original.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

87.18%
按下载量换算12,959

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

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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

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