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Apidot Image Generation Api

作者 jiehao71727 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ pending
31
总下载
1
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install apidot-image-generation-api
功能描述
Use APIDot for image generation API and image editing API workflows, including text-to-image API, image-to-image API, GPT Image 2 API, Nano Banana API, Nano...
使用说明 (SKILL.md)

APIDot Image Generation API

Use APIDot as an image-focused API surface for text-to-image generation, image editing, image-to-image workflows, polling, and webhook delivery.

This skill is for routing image generation questions to the right APIDot docs, examples, and async integration pattern. It is documentation-only: it includes no scripts, makes no network requests, and does not store credentials.

When To Use

Use this skill when the user asks to:

  • Build an image generation API integration with APIDot.
  • Generate images from prompts, product briefs, campaign ideas, UI mockup requests, or design directions.
  • Edit or transform source images using reference images.
  • Use GPT Image 2, Nano Banana, Nano Banana Pro, Seedream, Flux, or related image model APIs through APIDot.
  • Implement APIDot async image jobs with task submission, task status polling, or webhook callbacks.
  • Find APIDot image docs, model pages, or runnable image examples.

Security Rules

  • Treat APIDOT_API_KEY as a secret.
  • Keep APIDot API keys in server-side environment variables or a backend secret manager.
  • Never place an API key in browser code, frontend bundles, public repos, logs, screenshots, or chat output.
  • Do not make live API calls unless the user explicitly asks and provides a safe server-side environment.
  • Do not invent API facts, pricing, model availability, reliability claims, refund behavior, or competitor comparisons.
  • Use current APIDot docs and model pages for model-specific request fields and current product details.

Image Workflow

APIDot image generation usually follows an async task pattern:

  1. Choose the image model and generation mode from the current APIDot docs.
  2. Submit the generation or edit request through the APIDot async generation endpoint.
  3. Save the returned data.task_id immediately.
  4. Poll task status with the APIDot status endpoint for local tests.
  5. Use callback_url webhooks for production queues or user workflows that may outlive the current page.
  6. Store final image URLs only after the task reaches a terminal success state.

Use polling for local testing and webhooks for production systems where users may close the page before image processing finishes.

Model Routing

Start from the user's image task, then open the matching APIDot source:

User Goal Start Here
Browse APIDot models https://apidot.ai/models
Read APIDot API docs https://apidot.ai/docs
Learn APIDot quickstart flow https://apidot.ai/docs/quickstart
Implement webhooks https://apidot.ai/docs/webhooks
Build with GPT Image 2 https://apidot.ai/docs/gpt-image-2
Use runnable GPT Image 2 examples https://github.com/APIDotAI/gpt-image-2-api
Use runnable Nano Banana 2 examples https://github.com/APIDotAI/nano-banana-2-api
Use runnable Nano Banana Pro examples https://github.com/APIDotAI/nano-banana-pro-api
Use runnable Seedream 4.5 examples https://github.com/APIDotAI/seedream-4.5-api
Use general APIDot examples https://github.com/APIDotAI/apidot-examples

For Flux, Seedream, Nano Banana, GPT Image, or other image model families, prefer the live APIDot model page and docs page for that exact model. Do not copy request fields from another model family unless the APIDot docs show the same field.

Integration Guidance

  • Use the broad apidot-ai-api skill when the user needs APIDot across image, video, chat, music, and 3D.
  • Use this skill when the user is specifically building image generation, image editing, image polling, or image webhook workflows.
  • Ask which image task the user needs before choosing a model-specific example: text-to-image, image editing, image-to-image, product visual, UI mockup, ad creative, or reference-guided generation.
  • Persist task_id, selected model, user ID, source media references, request status, and final image URLs together.
  • Validate source image URLs before submitting requests that depend on reference images.
  • Treat webhook handlers as idempotent. Duplicate callback deliveries should not create duplicate visible results.
  • Retry transient network failures with backoff. Do not retry invalid payloads unchanged.
  • Avoid logging API keys, private prompts, private image URLs, or callback URLs.

Official Links

能力标签
requires-sensitive-credentials
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install apidot-image-generation-api
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /apidot-image-generation-api 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of the APIDot Image Generation API documentation skill. - Provides detailed guidance for using APIDot's image generation and editing APIs, including async workflows and webhooks. - Covers model selection, task workflow, polling, and secure handling of API keys. - Includes links to official docs, model pages, GitHub example repositories, and support resources. - Does not include scripts, make network requests, or store credentials; it is documentation-only. - Designed for users building APIDot image workflows or seeking accurate integration reference.
元数据
Slug apidot-image-generation-api
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Apidot Image Generation Api 是什么?

Use APIDot for image generation API and image editing API workflows, including text-to-image API, image-to-image API, GPT Image 2 API, Nano Banana API, Nano... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 31 次。

如何安装 Apidot Image Generation Api?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install apidot-image-generation-api」即可一键安装,无需额外配置。

Apidot Image Generation Api 是免费的吗?

是的,Apidot Image Generation Api 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Apidot Image Generation Api 支持哪些平台?

Apidot Image Generation Api 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Apidot Image Generation Api?

由 jiehao71727(@jiehao71727)开发并维护,当前版本 v1.0.0。

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