Poyo Kling O1 Image

Kling O1 image editing on PoYo / poyo.ai via https://api.poyo.ai/api/generate/submit; use for kling-o1-image-edit, reference-image editing, element descriptors, character or object control, 1K, 2K output, aspect ratio, output format, image count, polling, and webhooks.

PoYo Kling O1 Image Editing

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