Eachlabs | AI Workflows for app builders

KLING-O3

Edits videos using Kling O3, transforming subjects, settings, and style while preserving the original motion structure.

Avg Run Time: 300.000s

Model Slug: kling-o3-pro-video-to-video-edit

Playground

Input

Enter a URL or choose a file from your computer.

Output

Example Result

Preview and download your result.

output duration * 0.336

API & SDK

Create a Prediction

Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.

Get Prediction Result

Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.

Readme

Table of Contents
Overview
Technical Specifications
Key Considerations
Tips & Tricks
Capabilities
What Can I Use It For?
Things to Be Aware Of
Limitations

Overview

The Kling | o3 | Pro | Video to Video | Edit model from Kling enables precise, natural-language-driven edits on existing video footage, transforming subjects, settings, and styles while preserving the original motion structure. Developed by Kuaishou as part of the advanced Kling O3 family, this video-to-video tool stands out with its scene-level understanding and motion-consistent output, making it ideal for creators seeking seamless modifications without rebuilding entire clips. Unlike basic editing tools, it supports up to 4 reference images for visual guidance and optional audio retention, delivering high-quality results up to 1080p. Available via APIs on platforms like each::labs, it empowers users to upload videos and describe changes—like swapping objects or altering scenes—for professional-grade outputs. This model solves the challenge of maintaining temporal coherence in AI video edits, streamlining workflows for filmmakers and content creators.

Technical Specifications

  • Resolution Support: Up to 1080p in Pro mode (standard at 720p), with some mentions of 4K capability but best results at 1080p
  • Max Duration: 3-15 seconds per generation, with optimal quality at 5-10 seconds
  • Aspect Ratios: Supports multiple ratios including 16:9, 9:16, 1:1
  • Input Formats: MP4, MOV (minimum 720p for reference videos); reference images at least 512x512, preferably 1024x1024
  • Output Formats: MP4 with H.264 encoding and AAC audio; supports higher-quality options like 16-bit HDR
  • Processing Time: 2-4 minutes for basic 5-second 720p clips; 5-8 minutes for 10-second 1080p with audio; longer for complex edits
  • Frame Rates: 24-30 fps standard, up to 48-60 fps in Pro modes
  • Other: Up to 4 reference images; optional original audio retention; natural language prompts up to 2,500 characters

Key Considerations

Before using Kling | o3 | Pro | Video to Video | Edit, ensure input videos are 3-10 seconds at 720p minimum for best motion reference compatibility. This model excels in scenarios requiring preserved motion structure, such as object swaps or style transfers, over full regenerations from text alone. Pro tier access unlocks priority processing and higher resolutions, balancing cost against output quality—expect higher compute for 1080p or multi-reference edits. Users on each::labs can integrate via Kling | o3 | Pro | Video to Video | Edit API for scalable workflows, but peak times may add queue delays. Ideal for short-form content where temporal coherence is critical, versus alternatives better for longer narratives.

Tips & Tricks

Optimize prompts for Kling | o3 | Pro | Video to Video | Edit by being specific about changes while referencing preserved elements, e.g., "Replace the car with a red sports car, keep the driver's motion and background traffic identical." Use 1-4 high-quality reference images (clear, well-lit, 1024x1024) to guide subject or style swaps precisely. Start with shorter durations (5 seconds) to test edits before scaling to 10-15 seconds, reducing processing time and quality risks. Retain original audio when lip-sync isn't needed to maintain natural sound. For complex scenes, break edits into steps: first motion-consistent style change, then object addition. Example prompts:

  • "Transform the forest background to a cyberpunk city at night, preserve all character movements and camera angles."
  • "Change the actor's outfit to Victorian attire, retain exact walking path and expressions, use reference image for fabric details."
  • "Swap the dog with a robot companion, match size and gait perfectly, keep ambient sounds."

These leverage the model's scene understanding for flicker-free results.

Capabilities

  • Natural-language-driven video edits: Describe changes like object swaps, scene alterations, or style shifts on uploaded footage
  • Motion preservation: Maintains original video's structure, timing, and trajectories for seamless integration
  • Scene-level understanding: Recognizes objects, backgrounds, and context for accurate, context-aware modifications
  • Reference image support: Up to 4 images for precise control over new subjects, styles, or appearances
  • Optional audio retention: Keeps original sound while editing visuals, or generates synced audio in Pro mode
  • Temporal coherence: Delivers flicker-free, ghosting-minimal outputs across frames
  • High-resolution edits: Up to 1080p with realistic textures and details
  • Multi-modal inputs: Combines video, images, and text prompts for guided transformations

What Can I Use It For?

Content Creators: Edit social media clips by swapping backgrounds—e.g., "Replace the plain studio with a tropical beach, preserve dancer's exact routine"—for engaging Reels without reshooting.

Marketers: Customize product demo videos with style transfers, like "Change product packaging to holiday theme, keep rotation and lighting identical," enabling fast A/B variants while retaining motion consistency.

Filmmakers: Perform character swaps in rough cuts: "Replace actor with reference image of new lead, match all gestures and camera moves," streamlining reshoots with preserved scene dynamics.

Designers: Prototype UI animations by altering elements: "Transform wireframe app interface to neon cyberpunk style, retain swipe gestures and transitions," accelerating visual iterations on each::labs via the Kling | o3 | Pro | Video to Video | Edit API. These leverage the model's reference-based precision and motion retention for professional results across short-form projects.

Things to Be Aware Of

Complex scenes with rapid motion or heavy occlusions may introduce minor flickering despite strong temporal coherence. Always preview short test edits (3-5 seconds) before full runs, as quality can degrade in the final seconds of 15-second clips. Common mistakes include vague prompts lacking specifics on preserved elements, leading to unintended changes—specify "keep exact motion" explicitly. High-resolution or multi-reference edits demand more compute, increasing costs and times up to 8 minutes; pro accounts mitigate queues. Input videos over 10 seconds risk inconsistencies; trim beforehand. Resource needs are standard web access via each::labs, but peak usage adds delays.

Limitations

Kling | o3 | Pro | Video to Video | Edit caps at 15 seconds, unsuitable for long-form content without extensions. Practical 4K is limited; 1080p yields best consistency. Struggles with extreme style shifts (e.g., photoreal to abstract) or heavy physics changes, potentially breaking motion fidelity. Requires clear reference images—low-quality inputs degrade results. No native multi-language dialogue editing in video-to-video mode without audio regen. Outputs include AI metadata/watermarks (removable in Pro). Queue times vary during peaks.