Poyo Seedream 5 Pro

Seedream 5.0 Pro image generation and editing on PoYo / poyo.ai via https://api.poyo.ai/api/generate/submit; use for seedream-5.0-pro, seedream-5.0-pro-edit, text-to-image, reference-image editing, 1K or 2K output, aspect-ratio control, and multi-image output.

Install

openclaw skills install @coolhackboy/poyo-seedream-5-pro

PoYo Seedream 5.0 Pro Image Generation and Editing

PoYo Links

Use this skill for Seedream 5.0 Pro image jobs on PoYo. It helps agents select generation or edit mode, prepare an async request, and track the returned task.

Use When

  • The user mentions Seedream 5.0 Pro, seedream-5.0-pro, or seedream-5.0-pro-edit.
  • The task is text-to-image generation or editing with reference images.
  • The workflow needs PoYo request fields, shell submission, polling, or webhook guidance.

Model Selection

  • seedream-5.0-pro: generate images from a text prompt.
  • seedream-5.0-pro-edit: edit or combine supplied reference images with a prompt.

Key Inputs

  • prompt is required for both models.
  • image_urls is required for edit mode, accepts up to 10 images, and is not supported in generation mode.
  • size accepts 1K, 2K, 1:1, 3:4, 4:3, 16:9, or 9:16.
  • n controls the output count from 1 to 6.
  • output_format can be jpeg or png.
  • enable_safety_checker is optional.

Security Rules

  • Treat POYO_API_KEY as a secret and keep it in a server-side environment variable or secret manager.
  • Never place the key in browser code, public repositories, logs, screenshots, or chat output.
  • Do not submit private reference images or callback URLs unless the user trusts PoYo and the callback receiver.
  • Make live API calls only when the user explicitly requests them in a trusted server-side environment.

Execution

  • Read references/api.md before preparing a request.
  • Use scripts/submit_seedream_5_pro.sh only with a reviewed JSON payload.
  • Report the returned task_id and the selected model clearly.
  • Poll the unified task status endpoint or wait for the configured webhook.

Output Expectations

Include the selected model, mode, final payload or parameter summary, reference-image count, output settings, returned task_id when submitted, and the next status-check step.