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kling-o1-video-to-video-edit

kling-o1-video-to-video-edit

【效率与协作】Kling O1 | Video to Video | Edit. Edit videos using prompts with element and image references. Triggers: video editing, kling, o1, video to video, edit

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技能说明

GitHub

name: kling-o1-video-to-video-edit description: "Kling O1 | Video to Video | Edit. Edit videos using prompts with element and image references. Triggers: video editing, kling, o1, video to video, edit" allowed-tools: Bash(curl *), WebFetch

Kling O1 | Video to Video | Edit

Edit existing videos using text prompts with support for element and image references. Apply transformations, add characters, and modify video content.

Quick Start

Requires an each::labs API key. Get one at eachlabs.ai.

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "kling-o1-video-to-video-edit",
    "version": "0.0.1",
    "input": {
      "video_url": "https://example.com/original.mp4",
      "prompt": "change the weather to snowy, add falling snowflakes"
    }
  }'

Parameters

ParameterTypeDefaultDescription
elementsarrayElements (characters/objects) to include. Reference in prompt as @Element1, @Element2.
image_urlsarrayReference images for style/appearance. Reference in prompt as @Image1, @Image2.
keep_audiobooleanfalseWhether to keep the original audio from the video.
promptstringUse @Element1, @Element2 to reference elements and @Image1, @Image2 to reference images.
video_urlstringReference video URL. Only .mp4/.mov formats, 3-10 seconds duration, 720p+.

Examples

Weather modification with audio:

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "kling-o1-video-to-video-edit",
    "version": "0.0.1",
    "input": {
      "video_url": "https://example.com/outdoor-scene.mp4",
      "prompt": "transform the scene into a rainy evening, add puddle reflections",
      "keep_audio": true
    }
  }'

Style editing with reference images:

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "kling-o1-video-to-video-edit",
    "version": "0.0.1",
    "input": {
      "video_url": "https://example.com/street.mp4",
      "prompt": "apply the color grading from @Image1, make it look cinematic",
      "image_urls": ["https://example.com/color-reference.jpg"]
    }
  }'

Related Models

Documentation

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