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Introducing Vidu Reference To Video 2.0 on WaveSpeedAI

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Introducing Vidu Reference-to-Video 2.0 on WaveSpeedAI: Multi-Entity Consistency That Transforms Your Creative Vision

The challenge of maintaining character consistency in AI-generated videos has long been the industry’s most frustrating limitation. You craft the perfect character reference, write a compelling prompt, and hit generate—only to watch your character’s face morph into someone entirely different by frame 50. That era is ending.

WaveSpeedAI is excited to announce the availability of Vidu Reference-to-Video 2.0, the latest advancement in identity-locked video generation that preserves characters, objects, and environments with remarkable fidelity throughout every frame.

What is Vidu Reference-to-Video 2.0?

Developed by ShengShu Technology, Vidu Reference-to-Video 2.0 represents the cutting edge of multi-entity consistency in AI video generation. Since its launch in April 2024, the Vidu platform has grown to serve over 30 million users across 200+ countries, producing more than 400 million videos—a testament to its reliability and creative power.

The Reference-to-Video feature allows you to upload multiple reference images of characters, objects, or scenes, and Vidu combines these elements into seamless, coherent video sequences. Unlike traditional image-to-video models that struggle to maintain visual identity across frames, Vidu 2.0 employs a groundbreaking U-ViT architecture specifically engineered for multi-entity consistency.

This means your digital avatar stays your digital avatar. Your product maintains its exact appearance. Your carefully designed character doesn’t experience the dreaded “character collapse” that plagues other solutions.

Key Features

Identity-Locked Generation

Upload reference images of faces, characters, logos, or products, and Vidu 2.0 locks onto those visual identities. The model maintains facial features, clothing details, and distinctive characteristics throughout the entire video generation process. As one creator put it: “The way it blends the character into the set is honestly amazing.”

Multi-Entity Consistency

This is where Vidu 2.0 truly shines. You can integrate unrelated elements—different characters, objects, and environments—into a single cohesive video while ensuring each entity’s actions, positions, and styles remain consistent. Need three distinct characters interacting in a custom environment? Vidu handles it.

Smooth Temporal Transitions

Frame-to-frame coherence means natural motion without jarring visual artifacts. Characters move fluidly, objects maintain their physics, and scenes transition seamlessly.

Visual Style Adherence

Whether you’re working in photorealistic styles, anime aesthetics, or stylized illustration, Vidu 2.0 respects and maintains your chosen visual language throughout the generated content.

Blazing-Fast Generation

Building on Vidu 2.0’s core architecture that achieved record-breaking 10-second generation times—three times faster than its predecessor—you get rapid iteration without sacrificing quality. Theoretically, you can produce up to one minute of video content in just five minutes.

Real-World Use Cases

Digital Influencers and Virtual Avatars

Create consistent virtual personalities that maintain their visual identity across content series. Marketing teams can generate multiple videos featuring the same digital spokesperson without the character drift that typically undermines brand consistency. The level of realism and emotional depth makes it a powerful tool for character-driven storytelling in advertising.

Story-Driven Video Production

For filmmakers, animators, and content creators, maintaining character consistency across scenes is crucial. One creator shared: “Creating a short film like this used to take weeks and thousands of dollars. Using AI, I made it in under 2 hours with just Vidu and ChatGPT-4o. And the result is insane.”

Fashion and Cosplay Generation

Design characters in specific outfits and see them come to life with every fabric detail preserved. The model excels at maintaining clothing consistency—textures, patterns, and accessories stay true to your references.

Personalized Marketing Campaigns

Drop in a product image and generate dynamic advertisements in minutes. The Reference-to-Video feature is especially valuable for commercial video production, creating lifelike 360-degree product displays that look just like real footage. Even with complex camera movements or character interactions, product details remain clear and stable.

2D Animation and Anime

Vidu has earned particular acclaim among anime creators. The technology solves the “character collapse” problem that has frustrated animators working with AI tools, making it ideal for digital artists who want to transform concept art and sketches into animated sequences while maintaining visual consistency.

Getting Started on WaveSpeedAI

Accessing Vidu Reference-to-Video 2.0 through WaveSpeedAI gives you enterprise-grade infrastructure without enterprise-grade complexity:

  1. Navigate to the model: Visit wavespeed.ai/models/vidu/reference-to-video-2.0
  2. Prepare your references: Upload images of your characters, objects, or scenes
  3. Write your prompt: Describe the action, mood, and scene you want to create
  4. Generate: Watch as Vidu transforms your references into consistent, high-quality video

Why WaveSpeedAI?

  • No Cold Starts: Your generations begin immediately without waiting for model warmup
  • Consistent Performance: Enterprise-grade infrastructure ensures reliable, fast inference every time
  • Simple REST API: Integrate video generation into your applications with straightforward API calls
  • Affordable Pricing: Access cutting-edge AI video technology without breaking your budget

WaveSpeedAI’s accelerated inference leverages advanced optimization technology to reduce computational overhead and latency, enabling rapid video generation without compromising quality. The system efficiently handles large-scale inference tasks while maintaining the optimal balance between speed and accuracy.

The Future of Consistent AI Video

The reference-to-video paradigm represents a fundamental shift in how creators approach AI video generation. Rather than hoping the AI interprets your prompts correctly, you show it exactly what you want preserved. This shift from text-only prompting to reference-guided generation puts creative control back in your hands.

Vidu Reference-to-Video 2.0 isn’t just an incremental improvement—it’s solving what many considered the hardest problem in AI video generation. The technology has matured from an interesting experiment to a production-ready tool that professional creators are incorporating into real workflows.

Whether you’re building a digital influencer brand, producing marketing content at scale, creating animated series, or exploring new creative frontiers, consistent character generation changes what’s possible.

Start Creating Today

The gap between imagination and execution just got smaller. Vidu Reference-to-Video 2.0 on WaveSpeedAI gives you the tools to bring your creative vision to life—with characters that stay true from the first frame to the last.

Ready to experience multi-entity consistency for yourself? Try Vidu Reference-to-Video 2.0 on WaveSpeedAI and discover what’s possible when AI video generation finally keeps its promises.