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Hailuo2

核心功能：调用PoYo API提交Hailuo 02/Pro模型的视频生成任务，支持提示优化、端帧控制、图生视频等。典型场景：普通或高质量视频生成需求。输入可提供提示词、参考图等参数或完整payload；输出含模型ID、参数摘要、任务ID，告知后续可轮询状态或等webhook，需配置POYO_API_KEY。

coolhackboy
coolhackboy
热度 59.06
最近更新 2026-07-08 08:58:52
分类：创作依赖：第三方 API / 代码执行应用场景：视频编辑 / API 集成 / 自动化脚本

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 hailuo2
Metadata
name
poyo-hailuo-02
description
Use PoYo AI Hailuo 02 for prompt-optimized video generation and image-to-video workflows through the `https://api.poyo.ai/api/generate/submit` endpoint. Use when a user wants standard or pro video jobs, optional prompt optimization, end-frame control, or PoYo payloads for `hailuo-02` and `hailuo-02-pro`.
metadata
{"openclaw":{"homepage":"https://poyo.ai/models/hailuo-02","requires":{"bins":["curl"],"env":["POYO_API_KEY"]},"primaryEnv":"POYO_API_KEY"}}

PoYo Hailuo 02 Video Generation

PoYo Links

Use this skill to submit and track PoYo jobs for the Hailuo 02 family.

Quick workflow

  1. Choose the right model id for the requested output.
  2. Build the request body for POST https://api.poyo.ai/api/generate/submit.
  3. Send Bearer-authenticated JSON with Authorization: Bearer <POYO_API_KEY>.
  4. Save the returned task_id.
  5. Poll unified task status or wait for callback_url notifications.

Request rules

  • Require top-level model.
  • Keep prompts concrete and outcome-focused.
  • Require input.prompt unless the user already supplied a full payload.
  • Use input.image_urls only when the task needs reference or source images.
  • Use input.duration when the clip length matters.
  • Use input.resolution when quality/cost tradeoffs matter.

Model selection

hailuo-02

Use for general generation with this model variant.

hailuo-02-pro

Use for higher-quality or premium jobs.

Execution

  • Read references/api.md for endpoint details, model ids, key fields, example payloads, and polling notes.
  • Use scripts/submit_hailuo_02.sh to submit a raw JSON payload from the shell.
  • If the user only needs a curl example, adapt the example from references/api.md instead of rewriting from scratch.
  • After submission, report the task_id clearly so follow-up polling is easy.

Output expectations

When helping with this model family, include:

  • chosen model id
  • final payload or a concise parameter summary
  • whether reference images are involved
  • returned task_id if a request was actually submitted
  • next step: poll status or wait for webhook