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Apidot Wan 2 7 Image Api

该 Skill 为 APIDot 平台的 Wan 2.7 Image 提供文档路由式指引，覆盖文生图、图像编辑、图生图、多参考图生成与可读文字生成场景，说明异步任务的 task_id 保存、状态轮询与 webhook 回调流程，并给出密钥保管、重试与幂等建议；自身为纯文档，不含脚本，不发起网络请求。

jiehao71727
jiehao71727
热度 20.80
最近更新 2026-07-11 10:14:04
分类：开发依赖：纯提示词应用场景：API 集成 / 图像生成

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add apidot-wan-2-7-image-api
Metadata
name
apidot-wan-2-7-image-api
description
Wan 2.7 Image API on APIDot for wan 2 7 image, wan2.7 image, wan27 image, Wan 2.7 Image Pro, text-to-image, image editing, image-to-image, multi-reference generation, readable visual text, task_id, polling, webhooks, and APIDot docs routing.
homepage
https://apidot.ai/models/wan-2-7-image
metadata
{"openclaw":{"homepage":"https://apidot.ai/docs","primaryEnv":"APIDOT_API_KEY","envVars":[{"name":"APIDOT_API_KEY","required":false,"description":"APIDot API key for real API calls. Store it server-side only."}]}}

APIDot Wan 2.7 Image API

Use APIDot as a Wan 2.7 Image-focused API surface for text-to-image generation, image editing, image-to-image workflows, multi-reference generation, prompt adherence, readable visual text, polling, and webhook delivery.

This skill is for routing Wan 2.7 Image questions to the right APIDot docs, model pages, reference notes, and async integration pattern. It is documentation-only: it includes no scripts, makes no network requests, and does not store credentials.

This release contains SKILL.md plus non-executable notes in references/api.md. It includes no executable files, install-time automation, review automation helpers, shell automation, bundled API clients, automatic network calls, or stored credentials.

Start on APIDot

Use these APIDot entry points when coming from ClawHub:

Search Terms

Use this skill for searches and requests phrased as Wan 2.7 Image API, Wan 2 7 Image, wan2.7 image, wan27 image, wan-2-7-image, Wan 2.7 Image Pro, Wan image generation, Wan image editing, multi-reference image generation, or APIDot Wan API.

When To Use

Use this skill when the user asks to:

  • Build a Wan 2.7 Image API integration with APIDot.
  • Generate images from prompts, product briefs, campaign concepts, or design directions.
  • Edit or transform source images with image-to-image or multi-reference workflows.
  • Use Wan 2.7 Image or Wan 2.7 Image Pro through APIDot.
  • Implement APIDot async image jobs with task submission, task status polling, or webhook callbacks.
  • Find APIDot Wan 2.7 Image docs, model pages, or 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, commercial terms, model availability, reliability claims, performance claims, or competitor comparisons.
  • Use current APIDot docs and model pages for model-specific request fields and current product details.

Wan 2.7 Image Workflow

APIDot Wan 2.7 Image generation usually follows an async task pattern:

  1. Choose the Wan 2.7 Image model entry and request mode from the current APIDot docs.
  2. Submit the generation or edit request through the documented APIDot async generation flow.
  3. Save the returned data.task_id immediately.
  4. Poll task status with the documented task status API for local tests.
  5. Use callback_url webhook delivery 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.

Do not guess model-specific payload fields. If the user needs copyable request examples, point them to the current APIDot docs or general APIDot examples.

Model Routing

Start from the user's Wan 2.7 Image task, then open the matching APIDot source:

User Goal Start Here
Browse APIDot Wan 2.7 Image model page https://apidot.ai/models/wan-2-7-image
Build with Wan 2.7 Image https://apidot.ai/docs/wan-2-7-image
Read APIDot API docs https://apidot.ai/docs
Learn APIDot quickstart flow https://apidot.ai/docs/quickstart
Implement webhooks https://apidot.ai/docs/webhooks
Use general APIDot examples https://github.com/APIDotAI/apidot-examples

For Wan 2.7 Image request modes, prefer the live APIDot model page and docs page. Do not copy request fields from another image model family unless the APIDot docs show the same field.

Use references/api.md for a local, non-executable summary of Wan 2.7 Image model routing, request planning, and async workflow notes.

Integration Guidance

  • Use apidot-image-generation-api when the user needs broad image generation guidance across several model families.
  • Use apidot-wan-2-7-video-api when the user is specifically building Wan 2.7 video workflows.
  • Use this skill when the user is specifically building with Wan 2.7 Image through APIDot.
  • Ask which image task the user needs before choosing a model-specific example: text-to-image, image editing, image-to-image, multi-reference generation, product visual, ad creative, or readable visual text.
  • Persist task_id, selected model, user ID, source media references, request status, and final image URLs together.
  • Validate source image URLs before submitting workflows 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, generated image URLs, or callback URLs.

Official Links