Does Seedance 2.0 support API-style generation workflows?

Yes. Even when teams start in the UI, the winning pattern is to structure prompts like API payloads: explicit variables, reusable constraints, and versioned prompt templates.

What should a Seedance 2.0 API prompt include?

At minimum: use-case intent, subject, scene, camera move, style, duration, ratio, and a short list of constraints or failure-prevention rules.

How do I improve reliability in Seedance 2.0 API workflows?

Keep prompts modular, change one variable per test, and log pass rate by prompt version instead of judging from one lucky render.

Seedance 2.0 API Guide

Target keywords: seedance 2.0 api, seedance api, seedance 2 api. This page is built for high-intent operators who want repeatable, programmatic generation instead of one-off prompting.

Recommended Seedance 2.0 API Payload Shape

{
  "intent": "ugc_product_demo",
  "subject": "creator holding a compact espresso machine",
  "scene": "bright apartment kitchen, morning daylight",
  "shot_plan": [
    "hook: creator reacts to old machine failing",
    "proof: close-up brewing shot with crema detail",
    "payoff: smiling sip + product hero frame"
  ],
  "camera": "handheld social-native motion, fast push-in on hook",
  "style": "clean UGC ad, realistic skin tones, premium but casual",
  "duration": "8s",
  "ratio": "9:16",
  "constraints": ["no warped hands", "no text artifacts", "consistent product shape"]
}

3 Rules That Usually Raise Pass Rate

Separate intent, shot plan, and constraints instead of blending everything into one sentence.
Keep one camera instruction per beat so motion stays coherent.
Version the payload and log which variable changed on each retry.