KLING-O3
Kling O3 Omni creates new shots guided by a reference video, preserving cinematic motion and camera style for seamless scene continuity.
Avg Run Time: 400.000s
Model Slug: kling-o3-standard-video-to-video-reference
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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
Overview
The Kling | o3 | Standard | Video to Video | Reference model from Kling enables creators to generate new video shots guided by a reference video, preserving cinematic motion, camera style, and scene continuity for seamless extensions. Part of the Kling O3 family by Kuaishou Technology, this video-to-video tool leverages a unified multimodal architecture with visual chain-of-thought (vCoT) reasoning to maintain object consistency and spatial relationships across shots. Its primary differentiator is multi-shot control supporting up to 6 camera cuts in a single 15-second clip, allowing storyboard-like creation without separate editing tools. Ideal for filmmakers and content creators needing director-grade continuity, it processes reference videos to transfer motion patterns while incorporating text prompts for style and narrative control. Available via the each::labs platform at eachlabs.ai, this model streamlines workflows for professional video production.
Technical Specifications
- Resolution Support: Up to 4K (native), with standard modes at 720p and 1080p for optimal performance
- Max Duration: 3-15 seconds per clip, supporting multi-shot sequences up to 6 camera cuts
- Aspect Ratios: Flexible, including common cinematic ratios like 16:9; customizable via platform settings
- Input Formats: Reference videos in MP4 or MOV (minimum 720p, 3-10 seconds recommended), text prompts up to 2500 characters, optional reference images (512x512+ pixels)
- Output Formats: MP4 with H.264 video and AAC audio; supports 24-30 fps standard, up to 60 fps in pro modes
- Processing Time: 2-8 minutes depending on complexity, resolution, and duration; priority for pro accounts
- Architecture: Multimodal Visual Language (MVL) with vCoT reasoning for scene coherence
Key Considerations
Before using Kling | o3 | Standard | Video to Video | Reference, ensure reference videos are high-quality (720p+) and 3-10 seconds long to capture clear motion patterns. This model excels in scenarios requiring motion transfer and multi-shot continuity, outperforming single-clip alternatives for narrative sequences. Opt for shorter durations (5-10 seconds) to avoid quality degradation in longer outputs. Cost scales with resolution and complexity—720p generations are faster and cheaper than 4K. Users need a each::labs account for API access via eachlabs.ai, with pro tiers unlocking priority queues and watermark removal. Best for creators prioritizing cinematic style over rapid prototyping.
Tips & Tricks
Optimize prompts for Kling | o3 | Standard | Video to Video | Reference by describing desired changes explicitly while referencing preserved elements from the input video, e.g., "Extend the pan-right camera motion from reference, add dramatic lighting on the actor's face, maintain walking pace." Use concise prompts under 500 characters for clarity, focusing on motion, camera angles, and style to leverage vCoT reasoning. For multi-shot workflows, specify each segment: "Shot 1: Wide establishing from reference (3s), Shot 2: Close-up reaction with lip-sync dialogue (4s)." Upload multiple reference images alongside video for character consistency, preferring well-lit 1024x1024 files. Test at 720p first for quick iterations before scaling to 1080p or 4K. Enable native audio by including dialogue in prompts for automatic lip-sync. Example: "Transfer jogging motion from reference video to fantasy warrior in rainy forest, slow-motion emphasis, thunder sounds." Combine with Kling | o3 | Standard | Video to Video | Reference API for batch processing on eachlabs.ai.
Capabilities
- Transfers motion and camera style from reference videos to generate new shots with preserved cinematic continuity
- Supports multi-shot sequencing up to 6 camera cuts in 15-second clips, maintaining spatial and object consistency
- Native audio generation with automatic lip-sync for dialogue, ambient sounds, and multilingual speech
- Reference-based character consistency using video and up to 4 images for photorealistic replication
- Visual chain-of-thought (vCoT) reasoning for coherent scene logic and narrative flow
- High-resolution outputs up to 4K at 24-60 fps, with style versatility (photorealistic, cinematic)
- Prompt-driven video-to-video editing for style transfer and scene extensions
- Multimodal inputs combining text, reference video, and images for precise control
What Can I Use It For?
For filmmakers: Extend a reference establishing shot into a multi-shot sequence: "Shot 1: Match reference dolly-in to city street (4s), Shot 2: Cut to pedestrian close-up with dialogue 'Watch out!' in British accent (5s)." Leverages multi-shot control for storyboard realization.
For marketers: Adapt product demo videos by transferring motion to new scenes: "Apply spinning product rotation from reference to luxury watch on marble table, add spotlight glow and soft narration." Ensures brand consistency with native audio.
For designers: Prototype animations from reference clips: "Extend character walk cycle from input video into looping forest path, anime style with wind effects." Uses motion transfer for efficient iterations.
For developers: Integrate via Kling | o3 | Standard | Video to Video | Reference API on eachlabs.ai to automate video edits: "Preserve reference camera pan, replace background with sci-fi cityscape, generate ambient hum." Supports batch narrative extensions.
Things to Be Aware Of
Quality may degrade in clips over 10 seconds, especially with complex motions or multi-character scenes—stick to 5-10 seconds for best results. Reference videos with low resolution or heavy occlusion lead to inconsistent motion transfer. Peak usage causes queue delays; pro accounts on eachlabs.ai prioritize processing. Common mistakes include overly long prompts that confuse vCoT reasoning or mismatched aspect ratios between input and output. High frame rates (48-60 fps) demand pro access and increase generation time. Outputs include AI metadata and optional watermarks, removable via upgrades. Test audio sync in multilingual prompts, as accents like Indian English perform variably.
Limitations
Kling | o3 | Standard | Video to Video | Reference caps at 15 seconds total duration, unsuitable for full-length videos. Practical 4K outputs may underperform compared to 1080p due to compute limits; best at 720p-1080p. Struggles with extreme deformations or rapid non-human motions in references. No support for inputs under 3 seconds or non-standard formats beyond MP4/MOV. Complex multi-language dialogues risk lip-sync desyncs in crowded scenes. Watermarks persist on free tiers.
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