PoYo Kling 3.0 Multi-Shot Video Generation
PoYo Links
- Model page: https://poyo.ai/models/kling-3-api
- API docs: https://docs.poyo.ai/api-manual/video-series/kling-3-0
- API key page: https://poyo.ai/dashboard/api-key
Use this skill for Kling 3.0 jobs on PoYo. It covers text-to-video, image-to-video, single-shot video, multi-shot video generation, element-referenced prompting, and sound-enabled output.
Use When
- The user explicitly asks for Kling 3.0,
kling-3.0/standard, orkling-3.0/pro. - The task needs text-to-video, image-to-video, multi-shot storytelling, or structured
multi_promptinput. - The workflow depends on
kling_elements, reference frames, native sound control, status polling, or webhook integration.
Model Selection
kling-3.0/standard: use for standard Kling 3.0 video generation.kling-3.0/pro: use when the user explicitly asks for the pro model or higher-detail output.
Key Inputs
promptis required whenmulti_shotsisfalse.multi_promptis required whenmulti_shotsistrue.sound,multi_shots, anddurationdrive the main workflow.image_urlsshould be used only when the request depends on source frames or element references.kling_elementscan define reusable visual elements that prompts reference by name.aspect_ratiosupports1:1,16:9, and9:16.callback_urlis optional and useful for production queues.
Security Rules
- Treat
POYO_API_KEYas 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 pass API keys as command-line arguments.
- 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 callback URLs, or proprietary prompts unless the user trusts PoYo and the callback receiver.
Execution
- Read
references/api.mdfor endpoint details, model ids, key fields, example payloads, and polling notes. - Use
scripts/submit_kling_3_0.shonly 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_idclearly so follow-up polling is easy.
Output Expectations
When helping with this model family, include:
- chosen model id
- whether the request is text-to-video, image-to-video, or multi-shot
- final payload or concise parameter summary
- whether reference images or elements are involved
- returned
task_idif a request was actually submitted - next step: poll status or wait for webhook
