PoYo Kling O1 Image Editing

PoYo Links

• Model page: https://poyo.ai/models/kling-o1-image
• API docs: https://docs.poyo.ai/api-manual/image-series/kling-o1
• API key page: https://poyo.ai/dashboard/api-key

Use this skill for Kling O1 image editing jobs on PoYo. It helps agents prepare reference-image editing payloads with optional element descriptors, submit async tasks, and explain polling or webhook follow-up.

Use When

• The user explicitly mentions Kling O1 Image, Kling O1 image editing, kling-o1-image-edit, or PoYo reference-image editing.
• The task is image editing, character or object preservation, reference-guided visual generation, or multi-reference creative image editing.
• The workflow needs PoYo async task submission, task status polling, or callback URL guidance.

Model Selection

• kling-o1-image-edit: use for image editing with one or more reference images.

Key Inputs

• prompt is required inside input.
• image_urls is required and should contain one to ten reference images.
• elements is optional for subject or object control when the prompt references @Element1, @Element2, and similar labels.
• resolution supports documented output presets.
• size controls output aspect ratio.
• output_format controls the returned image format.
• n controls the requested number of images.
• callback_url is optional and useful for production queues.

Security Rules

• Treat POYO_API_KEY as a secret.
• Keep PoYo API keys in server-side environment variables or a backend secret manager.
• Never place an API key in browser code, frontend bundles, public repositories, 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 submit confidential source images, private prompts, private callback URLs, or private generated image URLs unless the user trusts PoYo and the callback receiver.

Execution

• Read references/api.md for endpoint details, model id, common fields, example payloads, and polling notes.
• Use scripts/submit_kling_o1_image.sh only when the user wants to submit a prepared JSON payload from a trusted shell.
• If the user only needs a curl example, adapt one from references/api.md.
• After submission, report the returned task_id clearly so follow-up polling is easy.

Output Expectations

When helping with Kling O1 Image, include:

• chosen model id
• whether the request uses plain reference editing or element-guided editing
• final payload or concise parameter summary
• selected resolution, size, output format, and image count when relevant
• whether reference images or elements are involved
• returned task_id if a request was actually submitted
• next step: poll status or wait for webhook