nano-banana-pro
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ChineseNano Banana Pro Image Generation & Editing
Nano Banana Pro 图片生成与编辑
Generate new images or edit existing ones using Google's Nano Banana Pro API (Gemini 3 Pro Image).
使用Google的Nano Banana Pro API(Gemini 3 Pro Image)生成新图片或编辑现有图片。
Usage
使用方法
Run the script using absolute path (do NOT cd to skill directory first):
Generate new image:
bash
uv run ~/.claude/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 ~/.claude/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.
使用绝对路径运行脚本(请勿先切换到skill目录):
生成新图片:
bash
uv run ~/.claude/skills/nano-banana-pro/scripts/generate_image.py --prompt "你的图片描述" --filename "输出名称.png" [--resolution 1K|2K|4K] [--api-key KEY]编辑现有图片:
bash
uv run ~/.claude/skills/nano-banana-pro/scripts/generate_image.py --prompt "编辑指令" --filename "输出名称.png" --input-image "输入图片路径.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脚本,这样图片会保存到用户正在工作的位置,而非skill目录。
Resolution Options
分辨率选项
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
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
将用户需求映射到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”、“high-res”、“hi-res”、“4K”、“超清” →
4K
API Key
API密钥
The script checks for API key in this order:
- argument (use if user provided key in chat)
--api-key - environment variable
GEMINI_API_KEY
If neither is available, the script exits with an error message.
脚本将按以下顺序查找API密钥:
- 参数(如果用户在对话中提供了密钥)
--api-key - 环境变量
GEMINI_API_KEY
如果两者都不存在,脚本将退出并显示错误信息。
Filename Generation
文件名生成
Generate filenames with the pattern:
yyyy-mm-dd-hh-mm-ss-name.pngFormat:
{timestamp}-{descriptive-name}.png- Timestamp: Current date/time in format (24-hour format)
yyyy-mm-dd-hh-mm-ss - 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
按照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(24小时制)
yyyy-mm-dd-hh-mm-ss - 名称:小写描述性文本,用连字符连接
- 描述性部分保持简洁(通常1-5个词)
- 使用用户提示或对话中的上下文
- 如果上下文不明确,使用随机标识符(例如:、
x9k2)a7b3
示例:
- 提示“宁静的日式庭院” →
2025-11-23-14-23-05-japanese-garden.png - 提示“山间日落” →
2025-11-23-15-30-12-sunset-mountains.png - 提示“创建一张机器人的图片” →
2025-11-23-16-45-33-robot.png - 上下文不明确 →
2025-11-23-17-12-48-x9k2.png
Image Editing
图片编辑
When the user wants to modify an existing image:
- Check if they provide an image path or reference an image in the current directory
- Use parameter with the path to the image
--input-image - The prompt should contain editing instructions (e.g., "make the sky more dramatic", "remove the person", "change to cartoon style")
- Common editing tasks: add/remove elements, change style, adjust colors, blur background, etc.
当用户想要修改现有图片时:
- 检查用户是否提供了图片路径或引用了当前目录中的图片
- 使用参数传入图片路径
--input-image - 提示语应包含编辑指令(例如:“让天空更有戏剧性”、“移除人物”、“改为卡通风格”)
- 常见编辑任务:添加/移除元素、更改风格、调整颜色、模糊背景等
Prompt Handling
提示语处理
For generation: Pass user's image description as-is to . Only rework if clearly insufficient.
--promptFor editing: Pass editing instructions in (e.g., "add a rainbow in the sky", "make it look like a watercolor painting")
--promptPreserve user's creative intent in both cases.
生成图片时: 将用户的图片描述直接传递给。仅在描述明显不足时进行调整。
--prompt编辑图片时: 将编辑指令传递给(例如:“在天空中添加彩虹”、“让它看起来像水彩画”)
--prompt两种情况都要保留用户的创意意图。
Output
输出
- 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
- 将PNG图片保存到当前目录(如果文件名包含目录,则保存到指定路径)
- 脚本会输出生成图片的完整路径
- 请勿读取生成的图片 - 只需告知用户保存路径即可
Examples
示例
Generate new image:
bash
uv run ~/.claude/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 4KEdit existing image:
bash
uv run ~/.claude/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生成新图片:
bash
uv run ~/.claude/skills/nano-banana-pro/scripts/generate_image.py --prompt "带有樱花的宁静日式庭院" --filename "2025-11-23-14-23-05-japanese-garden.png" --resolution 4K编辑现有图片:
bash
uv run ~/.claude/skills/nano-banana-pro/scripts/generate_image.py --prompt "让天空更有戏剧性,加上暴风雨云" --filename "2025-11-23-14-25-30-dramatic-sky.png" --input-image "original-photo.jpg" --resolution 2K