Kling 3.0 video generation

Kling 3.0 video generation on PoYo / poyo.ai via `https://api.poyo.ai/api/generate/submit`; use for `kling-3.0/standard`, `kling-3.0/pro`, single-shot, multi...

PoYo Kling 3.0 Multi-Shot Video Generation

Use this skill for Kling 3.0 jobs on PoYo. It covers single-shot and 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, or kling-3.0/pro.
• The task needs multi-shot storytelling or structured multi-prompt input.
• The workflow depends on kling_elements, reference frames, or sound control.

Model Selection

• kling-3.0/standard: standard-quality entry point.
• kling-3.0/pro: higher-quality variant for users who explicitly want pro output.

Key Inputs

• sound, multi_shots, and duration drive the main workflow.
• prompt is for single-shot; multi_prompt is for multi-shot.
• image_urls is for start/end frames and is also required when kling_elements is used.
• aspect_ratio supports 1:1, 16:9, 9:16.

Execution

• Read references/api.md for endpoint details, model ids, key fields, example payloads, and polling notes.
• Use scripts/submit_kling_3_0.sh to submit a raw JSON payload from the shell.
• If the user only needs a curl example, adapt the example from references/api.md instead of rewriting from scratch.
• After submission, report the task_id clearly so follow-up polling is easy.

Output expectations

When helping with this model family, include:

• chosen model id
• final payload or a concise parameter summary
• whether reference images are involved
• returned task_id if a request was actually submitted
• next step: poll status or wait for webhook