~/Knock At A Door Revenge
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Video Effects

Knock At A Door Revenge

Knock At A Door Revenge video effect.

Esquema

Hint: You can drag and drop a file or click to upload

Exemplo

Saída de exemplo mostrada acima. O prompt e as configurações estão preenchidos à esquerda.

Sua solicitação custará $0.84 por execução. ($0.07/s) Por $10 você pode executar este modelo aproximadamente 11 vezes.

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README

Kling / Knock At A Door Revenge — Image to Video (kling-ve-knock-at-a-door-revenge)

Knock At A Door Revenge transforms your uploaded photo into a cinematic video effect. Powered by Kling Video Effects.

Destaques

  • •Automatic AI-driven knock at a door revenge effect applied to your photo.
  • •12-second cinematic transformation video at 720p.
  • •No prompt needed — just upload an image.

Parâmetros

  • •image* – Upload a portrait photo

Precos

$0.84 por geração

Como usar

  1. 1.Upload a portrait photo.
  2. 2.Click generate to apply the effect.
  3. 3.The 12s video will be ready in about 30-60 seconds.

Related Guides

Best AI Video APIs ComparedText to Video API GuideBest AI Image APIs ComparedAI Image Generation API Guide

Frequently Asked Questions

What is the Knock At A Door Revenge API?
Knock At A Door Revenge video effect.
How much does Knock At A Door Revenge cost via API?
Knock At A Door Revenge costs $0.8400 per generation through Renderful's API. No subscription required — pay only for what you use.
How do I use Knock At A Door Revenge via API?
Sign up for a free Renderful API key, then send a POST request to the /v1/predictions endpoint with model "kling-ve-knock-at-a-door-revenge". See the documentation at renderful.ai/docs for code examples in Python, JavaScript, and cURL.
What type of content does Knock At A Door Revenge generate?
Knock At A Door Revenge is a image to video model by Kling. Key features include: 12s video, Image-to-Video, 720p.
Is the Knock At A Door Revenge API fast?
Knock At A Door Revenge has medium generation speed. Results are delivered via polling or webhook callback for seamless integration.