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Nano Banana 2 Best Prompts: 3D Figurines, Characters and More

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本文介绍了 Nano Banana 2 图像生成模型的 15 个以上经过验证的提示词,按 3D 人偶、角色艺术、产品拍摄与模拟图、景观与环境四大类组织。文章提出了「主体+风格+材质+配件+包装+光照」的提示词公式,对比了简单与详细提示词的效果差异,列出了五类常见错误,并附有 Python API 调用示例及常见问题解答。内容实用性强,但部分内容带有明显的平台推广性质。
  • main points
  • unique insights
  • practical applications
  • key topics
  • key insights
  • learning outcomes
  • • main points

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      提供了清晰可复用的提示词结构公式,并通过 15 个分类示例加以落地,降低了用户上手门槛
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      通过简单与详细提示词的对比示例,直观展示了细节描述对输出质量的影响
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      包含可直接运行的 Python API 调用代码,并覆盖批量生成场景,技术落地性强
  • • unique insights

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      指出 Nano Banana 2 在材质区分(如哑光、金属、半透明)方面的优势,并建议用真实玩具品牌风格(如 Funko Pop、Hot Toys)作为风格锚点
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      提出以正向明确指令代替负面提示词的策略,因为该模型的 API 不支持负面提示词参数
  • • practical applications

    • 对需要生成人偶、角色设计、产品概念图的设计师、内容创作者和开发者具有较高的直接参考价值,提示词可复制即用,API 示例可快速接入。
  • • key topics

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      Nano Banana 2 提示词结构公式与核心原则
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      3D 人偶、角色艺术、产品拍摄、环境场景的分类提示词示例
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      简单与详细提示词对比及常见错误规避
  • • key insights

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      以分类提示词库+结构公式的形式降低提示词工程门槛
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      同时覆盖提示词写作、参数设置(分辨率、长宽比)与 API 调用的完整链路
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      给出不同生成方法(简单、详细、公式化)的效率与质量权衡分析
  • • learning outcomes

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      掌握「主体+风格+材质+配件+包装+光照」的提示词结构公式,并能应用于不同类别的图像生成
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      理解简单与详细提示词的差异,学会通过材质、比例、光照等细节控制输出质量
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      能够通过 API 调用 Nano Banana 2 进行单张或批量图像生成,并完成结果轮询
examples
tutorials
code samples
visuals
fundamentals
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“ Introduction: Why Prompt Structure Matters

The quality of a Nano Banana 2 prompt is the single biggest factor in whether generated images look like convincing collectible photography or generic, blurry 3D renders. Across hundreds of prompt variations tested for figurines, character art, product mockups, and stylized illustrations, a clear pattern emerges: prompts that specify structure, materials, lighting cues, and staging produce images that are more shareable and commercially usable, while vague one-line prompts yield unpredictable results. This guide collects more than fifteen of the best Nano Banana 2 prompts, organized by category and tested extensively. Each prompt can be copied directly and comes with an explanation of why it works. Whether you are building an app that generates on-demand figurines, producing social media content, or exploring product visualization, these prompts offer a reliable starting point.

“ The Nano Banana 2 Prompt Formula and Core Principles

Before diving into specific prompts, it helps to understand the structure that consistently produces strong results. High-performing Nano Banana 2 prompts follow a general formula: subject or character, plus style or format, plus material and surface finish, plus accessories or details, plus packaging or environment, plus lighting and photography style. Core principles drawn from testing: state the output format explicitly, because 'a 3D collectible figurine in blister packaging' works far better than 'a figure'. Describe materials and finishes, since terms like glossy painted plastic, matte vinyl, metallic chrome, and translucent resin produce distinct, realistic surfaces. Include packaging and display context such as blister packs, box art, cardboard backing, pedestals, or display cases to anchor the output in a believable product scene. Use photography and lighting vocabulary like product photography, studio lighting, softbox illumination, and macro lens to push toward a polished, professional look. Reference real-world toy brands and styles such as Funko Pop style, Hot Toys-level detail, or vintage Kenner figures to provide strong style anchors, one of the most effective techniques for consistent and targeted results.

“ 3D Collectible Figurine Prompts

Prompt 1 (Classic Collectible Figurine): A 3D collectible figurine of a medieval knight in full plate armor with gold trim, sealed in clear blister packaging with illustrated cardboard backing, hand-painted metallic details, miniature sword and shield accessories, product photography with studio lighting on clean white background, sharp macro lens detail. This covers all key formula elements and succeeds in roughly nine out of ten generations at 1:1 aspect ratio. Prompt 2 (Pop Culture Vinyl Toy): A matte vinyl collectible toy figure of a robot DJ wearing oversized headphones and a leather jacket, displayed on a minimalist white pedestal in Funko Pop proportions with oversized head and small body, rose gold and midnight blue color scheme, soft gradient background, clean product photography aesthetic. The Funko Pop reference reliably locks in proportions, and the specific palette prevents default primary colors. Prompt 3 (Anime Articulated Figure): A highly detailed anime-style action figure of a female mecha pilot in a white and red flight suit, dynamic pose with one arm extended, translucent green visor, multiple visible articulation points, displayed in a premium collector box with window panel, Japanese packaging text, Bandai model kit aesthetic, professional product photography with dramatic rim lighting. The Bandai reference anchors the Japanese articulated-figure tradition. Prompt 4 (Chibi Fantasy Character): An adorable chibi-style figurine of a dragon tamer with a tiny dragon on their shoulder, oversized eyes, small body with flowing cape, iridescent scales catching the light, both figures on a rocky base with painted grass, displayed without packaging with warm soft lighting and shallow depth of field. Prompt 5 (Retro Nostalgic Figure): A vintage 1980s style action figure of a space commander in a silver spacesuit with orange accents, stiff pose with limited articulation, sealed in yellowed blister packaging with retro card backing, slightly weathered edges, warm tungsten lighting and slight film grain. Time-period cues like stiff poses, yellowed packaging, and card art evoke nostalgia convincingly.

“ Character Art Prompts

Prompt 6 (Semi-Realistic Fantasy Portrait): A semi-realistic 3D rendered portrait of an elven ranger with sharp angular features, silver braided hair with small leaves, dark green tooled leather armor, bow across back, forest background with volumetric light rays, Pixar-meets-Lord-of-the-Rings aesthetic, cinematic color grading with warm highlights and cool shadows. Prompt 7 (Cyberpunk Character Design Sheet): A full-body character design sheet of a cyberpunk street samurai showing front and three-quarter views, neon-lit augmented eyes, asymmetric hairstyle, tactical jacket with glowing circuit patterns, cybernetic left arm with exposed chrome, utility belt, rainy neon-reflective urban background, character design concept art style. Prompt 8 (Cartoon Mascot): A cute cartoon mascot of a round penguin wearing a tiny chef hat and apron, holding a spatula, simple geometric shapes, bold black outlines, flat color fills, cheerful expression, vector illustration style with bright pastel palette on a clean white background. Explicit instructions for simple shapes and bold outlines prevent the model from defaulting to its more detailed 3D style. Prompt 9 (Stylized Portrait Bust): A stylized 3D portrait bust of a jazz musician with exaggerated proportions, porkpie hat, round sunglasses, miniature saxophone, warm studio lighting, subtle smoke wisps, and a sculpted clay aesthetic with visible texture under museum display lighting. Specifying a clay aesthetic makes the render read as a physical sculpture rather than hyperreal CGI.

“ Product Photography and Concept Mockup Prompts

Prompt 10 (Tech Product Concept): Sleek wireless earbuds floating mid-air, matte black with brushed gold accents, charging case open below showing magnetic contacts, ambient light particles, dark gradient background with blue glow, Apple-style minimalist presentation with soft studio reflections. Nano Banana 2's material rendering suits product visualization. The output is suitable for concept demos, pitch decks, and social previews, though it does not replace final-product 3D rendering. Prompt 11 (Food Product): An artisan chocolate truffle collection in an open luxury gift box with six truffles showing different finishes such as dark chocolate gloss, white chocolate drizzle, gold leaf, cocoa dusting, raspberry ganache, and caramel swirl, black velvet lining, shallow depth of field, warm overhead lighting. Food surfaces such as chocolate sheen, cocoa matte, and caramel translucency are convincingly rendered. Prompt 12 (Sneaker Design Concept): A futuristic high-top sneaker with a translucent sole revealing an internal air cushion, woven carbon fiber upper in midnight blue, iridescent heel counter, floating magnetic lace system, side profile on reflective dark surface, dramatic studio lighting with orange and teal gels. Useful for design exploration, social content, and concept presentations.

“ Landscape and Environment Prompts

Prompt 13 (Miniature Diorama): A detailed miniature diorama of a Japanese autumn garden with tiny red and orange maples, a wooden bridge over a pebble stream, a stone lantern, moss-covered ground, tilt-shift photography effect, golden hour lighting, displayed on a wooden base under a glass dome. The diorama format connects figurine skills to environment rendering. Prompt 14 (Fantasy Environment Concept): A floating island in a sunset sky with waterfalls cascading into clouds, ancient bioluminescent-vine-covered ruins, a massive golden-leaved tree at center, birds circling, volumetric clouds and god rays, fantasy concept art style with deep purples and golds, wide establishing shot. Stylized fantasy environments suit game concept art, book covers, and creative social content, though photoreal landscapes are better handled by other models. Prompt 15 (Isometric Room Scene): An isometric view of a cozy study with a warm wooden desk, open books, a steaming coffee mug, floor-to-ceiling bookshelves, a vintage globe, a soft reading lamp, rain visible through the window, and a cat curled on an armchair, low-poly 3D render style with soft pastel palette. Isometric room scenes perform well on social media and in game-adjacent content.

“ Simple vs. Detailed Prompts and Common Mistakes

A simple prompt such as 'A knight figurine' produces a generic figure with random armor style, undefined materials, no packaging context, default lighting, and inconsistent quality across generations, because the model fills every gap with defaults. A detailed prompt specifying historical knight type, armor layers, heraldry, hand-painted matte finish with metallic highlights, accessories, packaging style, and photography method produces a more controlled and striking result that stays consistent across generations. The detailed version takes about 30 seconds longer to write but usually yields a usable image on the first or second attempt instead of ten or more retries. Common mistakes to avoid: (1) stacking conflicting styles, such as 'photorealistic figurine in cartoon style with watercolor finish'; pick one aesthetic. (2) Ignoring material descriptions, since 'cool details' means nothing to the model; specify brushed stainless steel, matte black joints, glowing LED eyes, and so on. (3) Forgetting scale and background context, such as a 4-inch figure on a display base versus a giant dragon filling the frame. (4) Using vague color descriptions like 'colorful outfit' instead of specific palettes like cobalt blue jacket with deep red trim and gold buckles. (5) Ignoring lighting, which is one of the most influential factors; even adding 'studio lighting' or 'golden hour light' noticeably improves results.

“ Accessing the Nano Banana 2 API

Step 1: Obtain your API key by registering on Atlas Cloud, which offers a free key. Step 2: Generate images with your prompts. A Python example posts to the generateImage endpoint at https://api.atlascloud.ai/api/v1 with the model 'google/nano-banana-2/text-to-image', the prompt, width and height of 1024, and a Bearer authorization header; it then polls https://api.atlascloud.ai/api/v1/model/prediction/{request_id}/get every three seconds until status is 'completed' and reads output.image_url. A batch variant submits several prompts (for example pirate captain, chibi space explorer, vintage jungle adventurer), collects their request IDs, and polls until all results are completed. Comparison of approaches: simple prompts are fast to write but require many retries and yield low quality; detailed prompts take about 30 seconds and usually work on the first or second try; formula-based prompts (subject, style, material, accessories, packaging, lighting) take one to two minutes but are highly repeatable and production-ready. For most users, a detailed prompt with three to four formula elements balances quality and effort.

“ FAQ and Conclusion

Optimal prompt length is roughly 40 to 80 words: under 20 words leaves too many gaps, and over 100 words can cause the model to down-weight elements; the best prompts in this guide average about 50 to 60 words. Style consistency across generations comes from anchoring every prompt with the same style reference, material description, and lighting setup, changing only the subject and its unique details, and optionally using a consistent brand reference such as Funko Pop or Nendoroid. Negative prompts are not supported as a dedicated parameter through the Atlas Cloud API; instead, state what you want positively, for example 'sharp macro lens detail, product photography, studio lighting' rather than trying to exclude 'blurry' or 'low quality'. Recommended aspect ratios: 1:1 for standalone figurines and collectible toy shots; 16:9 for character design sheets and wide horizontal compositions; 9:16 for tall figurines, standing poses, or portrait framing. Resolution options include 1K, 2K, and 4K, and 1:1 at 1K or 2K is the most reliable default. Conclusion: Nano Banana 2 prompt engineering follows a clear, repeatable formula. Specify format, describe materials, add packaging or display context, and include lighting and photography instructions. Vague prompts waste retries, while specific prompts pay off immediately. Start with the prompts above, adapt them to your needs, and iterate. Nano Banana 2 is available on Atlas Cloud.

 Original link: https://www.atlascloud.ai/zh/blog/tips/nano-banana-2-prompts-guide

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