Introducing Vidu Start End To Video 2.0 on WaveSpeedAI

Introducing Vidu Start-End to Video 2.0 on WaveSpeedAI: Seamless Frame Interpolation for Professional Storytelling

We’re excited to announce the availability of Vidu Start-End to Video 2.0 on WaveSpeedAI—a breakthrough AI model that transforms how creators generate smooth, cinematic transitions between two images. Whether you’re working on storyboards, film previsualization, or dynamic scene transitions, this model delivers intelligent motion interpolation that bridges your start and end frames with stunning coherence.

Developed by Shengshu Technology in collaboration with Tsinghua University, Vidu 2.0 represents a significant leap forward in controllable video generation. The model doesn’t simply fade between images—it intelligently predicts motion, facial expressions, lighting changes, and camera movements to produce fluid, natural animation that feels intentional and professionally crafted.

What is Vidu Start-End to Video 2.0?

Vidu Start-End to Video 2.0 is a specialized image-to-video model that creates coherent video sequences by generating realistic motion between two provided frames. Unlike traditional interpolation tools that rely on basic morphing techniques, Vidu 2.0 uses advanced bi-frame guided synthesis to understand the spatial and temporal relationships between your input images, producing results that maintain narrative continuity throughout the generated sequence.

The model is built on Shengshu’s proprietary Universal Vision Transformer (U-ViT) architecture—a hybrid diffusion-transformer model that was first introduced in 2022 and has since become a foundation for some of the most capable video generation systems in the industry. This architecture enables Vidu to handle complex scene compositions, maintain object consistency across frames, and adapt to varying camera movements and layout shifts.

Key Features

Bi-Frame Guided Synthesis The model analyzes both your starting and ending images to understand the complete transformation required, then generates the intermediate frames that create a believable transition. This approach ensures that every generated frame contributes to a cohesive visual narrative.

Object-Aware Motion Interpolation Vidu 2.0 intelligently tracks objects throughout the transition, ensuring that elements maintain their identity and spatial relationships. Whether you’re morphing a character’s pose or transitioning between scenes, objects move naturally without the artifacts common in simpler interpolation techniques.

Human-Aware Motion Synthesis When working with human subjects, the model pays special attention to micro-expressions, gestures, and body movements. This human-centric approach produces transitions that feel emotionally authentic, making it ideal for character-driven content.

Adaptive Camera Movement Handling The model understands camera dynamics and can generate appropriate parallax effects, tracking movements, and perspective shifts based on the implied camera motion between your start and end frames.

Strong Narrative Continuity Every generated frame is designed to tell a coherent story. The model doesn’t just create motion—it creates meaningful transitions that serve your creative intent.

Real-World Use Cases

Storyboarding and Concept Animation

Transform static storyboard panels into dynamic concept previews. Provide your key frames, and let Vidu 2.0 generate the connecting motion to help stakeholders visualize the final production. This accelerates the pre-production phase and helps communicate creative vision more effectively.

Scene Interpolation for Long-Form Content

When creating episodic content or feature-length productions, seamless scene transitions are essential. Use Vidu 2.0 to generate polished connections between scenes, reducing the need for expensive reshoots or complex post-production work.

Film Previsualization

Directors and cinematographers can use the model to explore how scenes will flow together before committing to production. Test different opening and closing compositions to find the perfect transition without expensive on-set experimentation.

Instructional and Educational Content

Create engaging visual sequences that demonstrate processes, transformations, or step-by-step procedures. The model’s ability to generate smooth, understandable motion makes it ideal for training materials, how-to videos, and educational content.

Product Reveals and Transformations

Showcase products in motion with before-and-after sequences, transformation effects, or dynamic reveals. The model excels at creating the kind of polished transitions that capture viewer attention in marketing content.

Generate eye-catching transitions for social media posts, reels, and short videos. The speed and quality of Vidu 2.0 make it practical for high-volume content creation workflows.

Getting Started with WaveSpeedAI

Accessing Vidu Start-End to Video 2.0 through WaveSpeedAI is straightforward. Our platform provides a ready-to-use REST API that delivers the full capabilities of the model with the performance characteristics that professional workflows demand.

No Cold Starts: WaveSpeedAI’s infrastructure ensures your inference requests begin processing immediately. There’s no waiting for model loading or instance warm-up—submit your request and receive results without delay.

Optimized Performance: Our accelerated inference pipeline leverages advanced optimization technology to minimize latency while maintaining output quality. Generate your transition videos quickly without compromising on the cinematic results you need.

Affordable Pricing: WaveSpeedAI offers competitive pricing that makes professional-grade AI video generation accessible. Whether you’re processing a single creative project or scaling to enterprise-level production, our pricing model supports your workflow.

Simple Integration: The API follows standard patterns that integrate easily with existing production pipelines. Provide your start image, end image, and any additional parameters, then receive your generated video.

To get started, visit the Vidu Start-End to Video 2.0 model page where you can explore the API documentation, view example outputs, and begin generating your first transitions.

Why Vidu 2.0 Stands Out

The video generation landscape has grown increasingly competitive, with models from Google, Runway, Kling, and others vying for creator attention. What distinguishes Vidu 2.0’s start-end capability is its singular focus on the interpolation challenge.

While general-purpose video models excel at open-ended generation from text prompts, they often struggle when precise control over beginning and ending states is required. Vidu 2.0 was designed specifically for this use case, resulting in a model that delivers more reliable, predictable results when you need to bridge two specific visual states.

The model also benefits from Shengshu Technology’s rapid iteration pace. Having grown to over 10 million users in just 100 days and generated over 400 million videos across more than 200 countries, the Vidu platform has been refined through extensive real-world usage. This experience translates into a model that understands the practical needs of creators and delivers results that work in production contexts.

Conclusion

Vidu Start-End to Video 2.0 represents a powerful tool for any creator who needs precise control over video transitions. By intelligently interpolating motion between your specified start and end frames, it eliminates the tedious work of manual keyframing while delivering results that meet professional standards.

The combination of bi-frame guided synthesis, object-aware motion, and adaptive camera handling makes this model particularly valuable for storyboarding, previsualization, scene transitions, and any workflow where visual continuity matters.

Ready to transform your creative workflow? Explore Vidu Start-End to Video 2.0 on WaveSpeedAI and start generating seamless transitions today. With no cold starts, optimized performance, and affordable pricing, WaveSpeedAI makes professional AI video generation accessible to creators at every scale.