PoYo Kling 2.1 Image-to-Video Generation
PoYo Links
- Model page: https://poyo.ai/models/kling-2-1
- API docs: https://docs.poyo.ai/api-manual/video-series/kling-2-1
- API key page: https://poyo.ai/dashboard/api-key
Use this skill for Kling 2.1 image-to-video jobs on PoYo. It helps agents prepare Standard and Pro payloads, submit async tasks, and explain polling or webhook follow-up.
Use When
- The user explicitly mentions Kling 2.1,
kling-2.1/standard,kling-2.1/pro, or PoYo Kling 2.1 video generation. - The task is start-frame image-to-video or Pro start/end-frame video generation.
- The workflow needs PoYo async task submission, task status polling, or callback URL guidance.
Model Selection
kling-2.1/standard: use for start-frame guided image-to-video.kling-2.1/pro: use for start-frame guided image-to-video with optional end-frame guidance.
Key Inputs
promptis required insideinput.start_image_urlis required for both Standard and Pro.durationcan be5or10.end_image_urlis optional and only supported bykling-2.1/pro.negative_promptis optional for excluding unwanted visual traits.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 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 end-frame images, private callback URLs, or generated media URLs unless the user trusts PoYo and the callback receiver.
Execution
- Read
references/api.mdfor endpoint details, model ids, common fields, example payloads, and polling notes. - Use
scripts/submit_kling_2_1.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 Kling 2.1, include:
- chosen model id
- whether Standard or Pro is selected
- final payload or concise parameter summary
- selected duration and negative prompt when relevant
- whether an end frame is involved
- returned
task_idif a request was actually submitted - next step: poll status or wait for webhook
