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poyo-gpt-image-1-5

Use PoYo AI GPT Image 1.5 through the `https://api.poyo.ai/api/generate/submit` endpoint. Use when a user wants to generate or edit media with this model family, prepare PoYo-compatible payloads, submit jobs, or poll task status for `gpt-image-1.5`, `gpt-image-1.5-edit`.

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安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 poyo-gpt-image-1-5 技能。 若已安装,则直接安装 poyo-gpt-image-1-5 技能。

Overview

Skill Key
coolhackboy/poyo-gpt-image-1-5
Author
coolhackboy
Source Repo
openclaw/skills
Version
-
Source Path
skills/coolhackboy/poyo-gpt-image-1-5
Latest Commit SHA
4b5165e23527fd0dbf66d63f2e87574285e03370

Extracted Content

SKILL.md excerpt

# PoYo GPT Image 1 5

Use this skill to submit and track PoYo jobs for the GPT Image 1.5 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.size` to match the intended aspect ratio or canvas.

## Model selection

### `gpt-image-1.5`

Use for general generation with this model variant.
### `gpt-image-1.5-edit`

Use for editing or modifying supplied images.

## Execution

- Read `references/api.md` for endpoint details, model ids, key fields, example payloads, and polling notes.
- Use `scripts/submit_gpt_image_1_5.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

Notes:

Needs POYO_API_KEY from https://poyo.ai
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