PoYo Kling 3.0 Turbo Video Generation

PoYo Links

• Model page: https://poyo.ai/models/kling-3-0-turbo
• API docs: https://docs.poyo.ai/api-manual/video-series/kling-3-0-turbo
• API key page: https://poyo.ai/dashboard/api-key

Use this skill for Kling 3.0 Turbo video jobs on PoYo. It helps agents prepare text-to-video, first-frame image-to-video, and multi-shot storyboard payloads, submit async tasks, and explain polling or webhook follow-up.

Use When

• The user explicitly mentions Kling 3.0 Turbo, Kling Turbo, kling-3.0-turbo/standard, or kling-3.0-turbo/pro.
• The task is text-to-video, first-frame image-to-video, short product motion, cinematic concept video, or multi-shot storytelling.
• The workflow needs PoYo async task submission, task status polling, or callback URL guidance.

Model Selection

• kling-3.0-turbo/standard: use for standard Kling 3.0 Turbo video generation.
• kling-3.0-turbo/pro: use for pro Kling 3.0 Turbo video generation.

Key Inputs

• prompt is used for a single-shot prompt workflow.
• multi_prompt is used for multi-shot storyboards and should not be combined with prompt.
• image_urls is optional and supports at most one first-frame image.
• duration supports documented clip lengths for this model.
• aspect_ratio is for text-to-video mode.
• 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, or private callback URLs unless the user trusts PoYo and the callback receiver.

Execution

• Read references/api.md for endpoint details, model ids, common fields, example payloads, and polling notes.
• Use scripts/submit_kling_3_0_turbo.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 3.0 Turbo, include:

• chosen model id
• whether the request is text-to-video, image-to-video, or multi-shot
• final payload or concise parameter summary
• selected duration and aspect ratio when relevant
• whether a reference image is involved
• returned task_id if a request was actually submitted
• next step: poll status or wait for webhook