Introducing Kuaishou Kling Video O3 Std Reference To Video on WaveSpeedAI

Kling Video O3 Standard Reference-to-Video Is Now Live on WaveSpeedAI

Character consistency has been the hardest problem in AI video generation. You could generate a beautiful five-second clip—but the moment you tried to place the same character in a new scene, the face drifted, the outfit changed, and continuity broke. Kling Video O3 Standard Reference-to-Video solves this problem at scale, and it’s now available on WaveSpeedAI.

Built on Kuaishou’s third-generation Omni architecture—the same foundation that propelled Kling 3.0 to the top of AI video rankings in early 2026—this model lets you upload reference images of specific people, objects, or scenes and generate entirely new video content where those subjects stay visually consistent from the first frame to the last.

What is Kling Video O3 Standard Reference-to-Video?

Reference-to-Video is a specialized generation mode within Kuaishou’s unified Kling O3 architecture. Unlike standard text-to-video or image-to-video models that generate content from scratch, Reference-to-Video extracts identity features from your source images—facial structure, clothing, body proportions, distinctive accessories—and locks them in as constraints during generation.

The result: you describe a new scene in natural language, and the model produces video where your referenced subjects appear exactly as they should, performing the actions you specified, in environments they’ve never been photographed in.

The model supports up to 7 reference images when generating without a reference video, allowing you to capture subjects from multiple angles for stronger identity preservation. You can also provide an optional reference video for motion guidance or style transfer, with support for up to 4 reference images in that mode.

What sets the O3 generation apart from its O1 predecessor is the underlying 3D Spacetime Joint Attention mechanism combined with Chain-of-Thought reasoning. Before rendering a single frame, the model reasons through your prompt in structured steps—understanding spatial relationships, predicting motion trajectories, and planning how subjects should interact within the scene. This produces significantly more natural, physically coherent results than previous generations.

Key Features

Multi-Reference Identity Lock: Upload multiple images of the same character from different angles (front, side, three-quarter) to build a robust identity profile that persists across all generated frames
Multi-Subject Composition: Combine references of different characters, props, or elements in a single scene—use “Figure 1,” “Figure 2” notation in your prompt to direct who does what
Optional Reference Video: Supply a video clip for motion guidance, style transfer, or scene continuity to further enhance output quality
Synchronized Audio Generation: Generate environmental sound effects, ambient audio, or keep the original sound from a reference video
Flexible Duration (3–15 Seconds): Choose any length from quick 3-second tests to extended 15-second narrative sequences
Multiple Aspect Ratios: Output in 16:9, 9:16, 1:1, and other formats to match your target platform
~90% Facial Consistency: Independent testing has shown Kling O3 maintains approximately 90% facial structure accuracy when placing the same character across different environments

Real-World Use Cases

Brand and Marketing Campaigns

Transform a single product photoshoot into an entire video campaign. Upload reference images of your brand ambassador or spokesperson, describe different scenarios—an office presentation, a casual outdoor moment, a dynamic product demonstration—and generate consistent video content across all of them. The identity lock ensures your spokesperson looks the same whether they’re in a boardroom or on a beach.

Build recurring characters for TikTok, Instagram Reels, or YouTube Shorts without needing an actor on set for every shoot. Establish your character’s visual identity with a few reference images, then generate new episodes, reactions, and scenarios on demand. The 9:16 aspect ratio support and short-duration options are built specifically for this workflow.

E-Commerce Product Videos

Place products in lifestyle contexts at scale. Upload reference images of a product from multiple angles, then generate video showing it in a modern kitchen, an outdoor patio, a minimalist studio setup—all while maintaining perfect visual fidelity to the actual product. This is particularly valuable for marketplaces that reward video listings.

Rapid Creative Concepting

Combine multiple character references into new scenarios for storyboarding and ideation. Test how different characters interact in various environments before committing to full production. Use shorter 3–5 second clips for quick iteration, then extend to 10–15 seconds once you’ve found the right direction.

Style Transfer and Motion Guidance

Provide a reference video to guide the motion dynamics and visual style of new content. This is especially useful for matching an established aesthetic or replicating specific camera movements with your own characters.

Getting Started on WaveSpeedAI

Prepare your reference images: Gather clear, high-resolution images of your subject from multiple angles. Front, side, and three-quarter views produce the best identity lock. Reference images with clear faces and distinct features yield the strongest consistency.
Navigate to the model: Visit Kling Video O3 Standard Reference-to-Video on WaveSpeedAI.
Write your prompt: Describe the scene using “Figure 1,” “Figure 2” notation to reference your uploaded images. For example: “The woman in Figure 1 is walking through a neon-lit city street at night, looking up at the skyline with wonder.”
Configure output settings: Select your aspect ratio (16:9 for landscape, 9:16 for vertical, 1:1 for square), set duration (3–15 seconds), and choose whether to enable sound generation.
Add a reference video (optional): Upload a video clip for motion or style guidance if you want to match specific movement dynamics.
Generate: Submit your request and download the result.

Pricing

Without reference video:

Duration	Sound Off	Sound On
3 s	$0.504	$0.672
5 s	$0.84	$1.12
10 s	$1.68	$2.24
15 s	$2.52	$3.36

With reference video:

Duration	Cost
3 s	$1.512
5 s	$2.52
10 s	$5.04
15 s	$7.56

Billing is transparent and per-generation—no subscriptions, no credit packs, no hidden fees.

Pro Tips

Use 2–4 reference images from different angles for the strongest identity lock
Start with short 3–5 second clips to validate character consistency before generating longer sequences
Adding a reference video triples the cost but significantly enhances motion quality—use it when motion fidelity matters most
Match aspect ratio to your target platform: 16:9 for YouTube, 9:16 for TikTok and Reels, 1:1 for Instagram feed

Why WaveSpeedAI?

No Cold Starts: Models are kept warm and ready—generation begins immediately on every request
Simple REST API: Straightforward integration with no complex SDK setup
Affordable, Transparent Pricing: Pay per generation with clear, predictable costs
Full Kling O3 Ecosystem: Access the complete suite including O3 Pro Reference-to-Video, O3 Standard Image-to-Video, and O3 Standard Text-to-Video

Start Building Consistent Characters Today

Character consistency was the bottleneck. Kling Video O3 Standard Reference-to-Video removes it. Whether you’re building a brand campaign with a recurring spokesperson, producing serialized social content with AI characters, or prototyping narrative sequences for production, this model delivers the identity stability that makes multi-scene AI video practical.

With Kling 3.0 ranked among the top AI video models of 2026, Reference-to-Video gives you access to that same architectural power—purpose-built for the workflows where consistency matters most.

Try Kling Video O3 Standard Reference-to-Video on WaveSpeedAI and start generating character-consistent video today—with fast inference, zero cold starts, and pricing that makes experimentation accessible.