Poyo Kling 2 5 Turbo Pro

Kling 2.5 Turbo Pro video generation on PoYo / poyo.ai via https://api.poyo.ai/api/generate/submit; use for kling-2.5-turbo-pro, text-to-video, image-to-video, first and last frame guidance, duration, aspect ratio, negative prompt, task submission, polling, and webhooks.

PoYo Kling 2.5 Turbo Pro Video Generation

Use this skill for Kling 2.5 Turbo Pro video jobs on PoYo. It helps agents prepare prompt-based and frame-guided payloads, submit async tasks, and explain polling or webhook follow-up.

Use When

• The user explicitly mentions Kling 2.5 Turbo Pro, Kling 2.5, kling-2.5-turbo-pro, or PoYo Kling 2.5 video generation.
• The task is text-to-video, image-to-video, first-frame guidance, or first/last-frame video generation.
• The workflow needs PoYo async task submission, task status polling, or callback URL guidance.

Model Selection

• kling-2.5-turbo-pro: use for Kling 2.5 Turbo Pro video generation.

Key Inputs

• prompt is required inside input.
• duration controls output length when supported by the current PoYo docs.
• start_image_url is optional for first-frame image-to-video.
• end_image_url is optional for last-frame guidance.
• aspect_ratio controls output framing when supported.
• negative_prompt is optional for excluding unwanted visual traits.
• 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 prompts, private source images, private callback URLs, or private generated media 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_2_5_turbo_pro.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 2.5 Turbo Pro, include:

• chosen model id
• whether the request is text-to-video, first-frame image-to-video, or first/last-frame video
• final payload or concise parameter summary
• selected duration, aspect ratio, and negative prompt when relevant
• whether source frames are involved
• returned task_id if a request was actually submitted
• next step: poll status or wait for webhook