NanoCloud

From prompt to polished visual.

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A web creative studio and visual API for production-ready images

Welcome to the GitHub home of NanoCloud, a browser-based AI image generator and editor for creators, marketers, ecommerce teams, designers, developers, and visual products. NanoCloud turns text prompts and reference images into polished assets, then provides semantic editing tools and flexible output controls for the refinement work that happens after the first generation.

The platform's NanoCloud Vision experience supports Nano Banana-powered visual workflows with automatic model routing. It is designed for work where detail, readable typography, visual consistency, and high-resolution delivery matter—not only for quick concept generation.

Open the dashboard · Browse examples · Read the visual guides · Explore the API

One visual workflow from concept to finished asset

1. Define the job — Identify whether the output is a product image, campaign visual, infographic, character, storyboard, or another production asset.
2. Choose a starting mode — Begin from text, an existing image, or several visual references.
3. Direct the image — Describe subject, composition, typography, lighting, materials, palette, background, and intended format.
4. Configure generation — Select the model, aspect ratio, resolution, output format, and visibility setting.
5. Generate and inspect — Review detail, text accuracy, identity, style, framing, and production suitability.
6. Edit semantically — Replace an object, change a background, extend the scene, or refine a specific visual decision in natural language.
7. Export or integrate — Download the selected result or use the visual API for an application or batch workflow.

Core capabilities

• Text-to-image generation — create a visual from a detailed prompt, style preset, or reusable prompt template.
• Image-to-image creation — transform reference images while preserving important subjects, composition, or brand direction.
• Semantic editing — describe changes in natural language to replace objects, update scenes, extend a composition, or refine details.
• Multiple references — guide an output with more than one visual source when consistency is important.
• Multilingual typography — create designs that combine imagery with readable text in multiple languages.
• Consistent characters and styles — build related assets for campaigns, stories, products, and brand systems.
• Flexible production output — choose aspect ratio, format, and 1K, 2K, or 4K resolution according to the target channel.
• Visual API — bring image creation and editing into applications, batch jobs, and automated media pipelines.

Common use cases

NanoCloud is suitable for ecommerce hero images, product scenes, advertising posters, social campaigns, infographics, storyboards, character sheets, presentation visuals, and branded content series. Creators can work interactively in the browser, while teams can use the API for repeatable or higher-volume jobs.

Designed for visual consistency

NanoCloud supports work that needs several outputs to feel related rather than randomly generated:

• use reference images to anchor a recurring fictional character, product, logo, or art direction;
• define the details that must stay fixed and the areas that may change between variants;
• reuse prompt structures, presets, and visual references across a campaign;
• compare output at the final destination's aspect ratio instead of cropping as an afterthought;
• review multilingual text, brand colors, labels, and small product details before publishing;
• create 1K drafts for exploration, then use higher-resolution output when the selected concept is ready.

Model output can still vary. Identity, typography, factual details, and brand requirements should be reviewed by a person before an asset is distributed.

Supporting visual tools and guides

The product ecosystem includes focused resources around the main generator:

• Image Combiner for bringing several source visuals into one working composition;
• Image to Prompt for turning visual observations into a starting description;
• Character-consistency guides for building more stable recurring subjects;
• Product-photography guides for framing, lighting, background, and merchandising workflows;
• Examples and posts for prompt patterns, API integration, resolution, style, and practical use cases;
• Visual API pages for teams moving from browser experiments to automated jobs.

For creators and production teams

• Ecommerce teams can develop product scenes, merchandising visuals, and campaign variants.
• Marketers can create posters, social cards, ad concepts, and multilingual campaign images.
• Designers can explore layouts, typography, art direction, and high-resolution deliverables.
• Story and character creators can build reference sheets, recurring identities, and scene sequences.
• Developers can integrate text-to-image, image-to-image, and editing tasks through the visual API.

Product principles

• A visual editor, not only a generator — Refinement and semantic change are essential parts of the workflow.
• Resolution follows intent — Exploration and final delivery may require different output sizes.
• Typography is a design requirement — Multilingual text should be treated as part of the composition.
• Consistency needs direction — References, fixed details, and repeatable prompts help a series stay coherent.
• Users control visibility — Public and private choices should be reviewed deliberately before generation.
• Independent product identity — Access to external models does not imply affiliation with their providers.

A practical workflow

1. Select text-to-image or image-to-image and choose the appropriate model.
2. Write a clear prompt, add reference images, and configure aspect ratio, resolution, and format.
3. Generate the image and refine selected details with semantic instructions.
4. Export the final asset or move the workflow into an application with the visual API.

Explore NanoCloud

• Website — Learn about NanoCloud Vision and the web studio.
• Dashboard — Start and manage visual generation.
• Examples — Browse output and prompt directions.
• Image Combiner — Combine source visuals for a new composition.
• Image to Prompt — Create a descriptive starting point from an image.
• Character Consistency Guide — Learn repeatable character workflows.
• Product Photography Guide — Build stronger ecommerce imagery.
• Nano Banana 2 API — Review current API access.
• Blog — Read tutorials, integration notes, and visual guides.

Create with NanoCloud at nanobananapro.cloud. For support, contact support@nanobananapro.cloud.

Independent product notice: NanoCloud is an independent product and is not affiliated with Google or other AI model providers.

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简体中文

面向生产级图片的在线创意工作室与视觉 API

欢迎来到 NanoCloud 的 GitHub 组织主页。NanoCloud 是一个浏览器端 AI 图片生成与编辑平台，面向创作者、营销人员、电商团队、设计师、开发者和视觉类产品。它能够把文字提示与参考图片转化为高完成度素材，并通过语义编辑和灵活的输出参数完成首轮生成之后的精修工作。

NanoCloud Vision 体验支持由 Nano Banana 驱动的视觉工作流，并可根据所选模型自动路由后端。平台不仅用于快速概念生成，也适合对细节、文字可读性、视觉一致性和高分辨率交付有要求的实际项目。

打开控制台 · 浏览案例 · 阅读视觉指南 · 了解 API

从概念到成品的一体化视觉流程

1. 定义任务：确定输出是商品图、营销视觉、信息图、角色、分镜还是其他生产素材。
2. 选择起点：从文字、现有图片或多个视觉参考开始。
3. 导演图片：描述主体、构图、文字、灯光、材质、配色、背景和目标格式。
4. 配置生成：选择模型、宽高比、分辨率、输出格式和可见性设置。
5. 生成并检查：审核细节、文字准确性、身份、风格、取景和生产适用性。
6. 语义编辑：用自然语言替换物体、修改背景、扩展场景或优化具体视觉决策。
7. 导出或集成：下载选中结果，或通过视觉 API 接入应用和批处理流程。

核心能力

• 文生图：通过详细提示词、风格预设或可复用模板创建视觉内容。
• 图生图：在保留重要主体、构图或品牌方向的同时转换参考图片。
• 语义编辑：用自然语言替换物体、修改场景、扩展构图或优化局部细节。
• 多参考图：在需要一致性时，使用多个视觉来源共同引导结果。
• 多语言排版：生成同时包含图片与清晰多语言文字的设计。
• 角色与风格一致性：为营销活动、故事、产品和品牌系统制作系列素材。
• 灵活的生产输出：按照目标渠道选择宽高比、格式以及 1K、2K 或 4K 分辨率。
• 视觉 API：将图片生成与编辑接入应用、批处理任务和自动化媒体管线。

常见用途

NanoCloud 适用于电商主图、产品场景、广告海报、社交营销、信息图、分镜、角色设定、演示视觉和品牌系列内容。创作者可以直接在网页中操作，团队则可通过 API 处理可复用或更大批量的任务。

为视觉一致性而设计

NanoCloud 支持多个输出保持关联感，而不是每次产生完全随机的结果：

• 使用参考图固定持续出现的虚构角色、商品、Logo 或艺术方向；
• 明确哪些细节必须不变，哪些区域可以在不同变体中调整；
• 在同一活动中复用提示词结构、预设和视觉参考；
• 直接按照最终渠道宽高比检查结果，避免最后一步被动裁切；
• 发布前审核多语言文字、品牌颜色、标签和商品小细节；
• 使用 1K 草稿探索方向，选定概念后再采用更高分辨率输出。

模型结果仍可能变化。身份、文字、事实细节和品牌要求在发布前应由人工审核。

配套视觉工具与指南

主生成器之外，产品生态还包含多个专项资源：

• 图片合成器：把多个来源视觉带入同一个工作构图；
• 图片转提示词：将视觉观察转化为可继续编辑的描述起点；
• 角色一致性指南：建立更稳定的持续角色工作流；
• 商品摄影指南：学习取景、灯光、背景与陈列方法；
• 案例与文章：了解提示结构、API 集成、分辨率、风格和实际用途；
• 视觉 API 页面：帮助团队从浏览器实验迁移到自动化任务。

面向创作者与制作团队

• 电商团队：制作商品场景、陈列视觉和营销变体。
• 营销人员：创建海报、社交卡片、广告概念和多语言活动图片。
• 设计师：探索版式、文字、艺术方向和高分辨率交付。
• 故事与角色创作者：建立参考设定、持续身份和场景序列。
• 开发者：通过视觉 API 接入文生图、图生图和编辑任务。

产品原则

• 不仅生成，也要可编辑：精修和语义修改是流程的关键部分。
• 分辨率服务于目的：探索与最终交付可能需要不同尺寸。
• 文字是设计要求：多语言排版应当作为构图的一部分处理。
• 一致性需要明确导演：参考图、固定细节和可复用提示帮助系列保持连贯。
• 可见性由用户控制：生成前应有意识地检查公开或私密选项。
• 保持独立产品身份：提供外部模型访问不代表与模型提供商存在隶属关系。

实用工作流

1. 选择文生图或图生图，并选择合适的模型。
2. 编写清晰提示词、添加参考图片，并设置宽高比、分辨率和格式。
3. 生成图片，再通过语义指令优化选中的细节。
4. 导出最终素材，或通过视觉 API 将流程接入应用。

探索 NanoCloud

• 官方网站 — 了解 NanoCloud Vision 与在线工作室。
• 控制台 — 开始并管理视觉生成。
• 作品案例 — 浏览输出和提示方向。
• 图片合成器 — 组合来源视觉并创建新构图。
• 图片转提示词 — 从图片得到描述起点。
• 角色一致性指南 — 学习可复用角色流程。
• 商品摄影指南 — 制作更好的电商视觉。
• Nano Banana 2 API — 查看当前 API 访问方式。
• 官方博客 — 阅读教程、接入说明和视觉指南。

访问 nanobananapro.cloud 开始创作。如需支持，请联系 support@nanobananapro.cloud。

独立产品声明： NanoCloud 是独立产品，与 Google 或其他 AI 模型提供商不存在隶属关系。