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nano-banana-image-gen纳米香蕉图像生成

Agent Skill

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

总安装

1,080

周安装

45

GitHub Stars

176

下载量

360
CodexClaudeCursorGemini CLI

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

unknown

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:nano-banana-image-gen(纳米香蕉图像生成)
来源仓库:https://github.com/jamditis/claude-skills-journalism
仓库路径:skills/nano-banana-image-gen
安装命令:
npx skills add https://github.com/jamditis/claude-skills-journalism --skill nano-banana-image-gen
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/jamditis/claude-skills-journalism --skill nano-banana-image-gen

简介

用于辅助图像生成、图片编辑和视觉素材处理。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据文本生成图片或调用图像工具。
  • 使用时需确认输入图片、版权来源和模型限制;涉及人物或品牌时应核对授权与合规性。
  • 安装命令:npx skills add https://github.com/jamditis/claude-skills-journalism --skill nano-banana-image-gen
  • 注意:输出格式和模型能力有限,公开展示素材需额外验证真实性与授权。

SKILL.md

Nano Banana 2 image generation reference

Nano Banana (NB) is Google's Gemini image generation family. NB2 = Gemini 3.1 Flash.

Model selection

ModelBest forTradeoffs
NB1Existing workflows that already work, lowest cost, speed-criticalNo thinking, no visual grounding, no extreme ratios
NB2Default for new projects (~95% of Pro quality)~15% slower than Pro at 2K, weaker arm/leg composition, spelling errors in infographics
ProComplex multi-layered prompts, extreme logical constraints, interior scale/logicMost expensive

Decision: Start with NB2. Step up to Pro only if NB2 consistently fails your specific prompt.

Visual grounding (NB2 only)

NB2 searches the internet for reference images before generating. Useful for:

  • Specific real-world locations (churches, bridges, city squares, niche buildings)
  • Exact animal species, breeds, insects
  • Historically accurate scenes

Example: "Generate a cinematic, golden-hour photograph of the main historical church in Voiron, France. Ensure the architectural details, the spire, the surrounding square, and the landscape (mountains) are accurate to reality."

Cost optimization

512px batch-to-upscale workflow:

  1. Use Batch API (50% discount) to generate dozens of 512px variations
  2. Review and pick the best composition
  3. Upscale that image to 1K/2K/4K

512px output runs faster and costs roughly the same as NB1.

Parameters

ParameterValuesNotes
Resolution512px, 1K, 2K, 4K512px for drafts, upscale winners
Aspect ratioStandard + 1:4, 1:8, 4:1, 8:1Extreme ratios for banners, comics, scrolling
Thinking modeOn/OffKeep OFF by default. Enable for complex infographics or grounding + spatial reasoning

Prompt recipes

3D character selfie (requires image upload): Transform personal photos into stylized 3D characters interacting with real selves.

Anime to photorealistic (requires image upload): "Convert this uploaded animated still into an ultra-realistic, cinematic, and fully photorealistic scene. Transform the animated characters into real humans while perfectly preserving their original identities, facial structures, outfits, expressions, and overall likeness."

Historical street view: "Generate a hyper-realistic image of [event] perfectly replicating a Google Maps Street View capture. Include a 123-degree wide-angle barrel distortion..."

Crayon filter: "A child's crayon drawing on white lined notebook paper of [subject]. Use chunky wax-crayon strokes, wobbly outlines, and bright bold colors that messily overflow the lines. Include visible heavy pressure marks, waxy smudges, and uneven scribble shading."

Comic strip: "Create a 4-panel horizontal comic strip (aspect ratio 4:1). [Story]. Use a vibrant, Franco-Belgian comic book style. Keep the [character] design consistent across all panels."

Known limitations

  • Spelling mistakes in infographics (NB1 was better at this)
  • Consistency across multiple generations is weaker than Pro
  • Arm/leg composition issues more frequent than other models
  • Knowledge cutoff prevents referencing very recent products even with search on
  • No seed value support yet (style changes between generations)

Attribution

Based on "Getting the most out of Nano Banana 2" by @NanoBanana on X (Mar 11, 2026). Original thread covers model comparisons, visual grounding, parameters, and prompt techniques for Google's Gemini image generation models.

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能力 3

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能力 4

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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

Codex

37.08%
按下载量换算133

Claude

28.85%
按下载量换算104

Cursor

20.07%
按下载量换算72

Gemini CLI

9.52%
按下载量换算34

安全审计

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Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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