Introducing Vidu Reference To Image Q2 on WaveSpeedAI

Introducing Vidu Reference-to-Image Q2: Master Character and Style Consistency with Multi-Reference AI Image Generation

The challenge of maintaining visual consistency across creative projects has long been one of the most frustrating limitations in AI image generation. Whether you’re developing a marketing campaign, creating storyboard sequences, or building a visual identity for a game character, the struggle to keep subjects looking identical across multiple images has forced creators into tedious workarounds. Today, we’re excited to announce the availability of Vidu Reference-to-Image Q2 on WaveSpeedAI—a powerful solution that transforms how creative professionals approach multi-image workflows.

What is Vidu Reference-to-Image Q2?

Vidu Reference-to-Image Q2 is a state-of-the-art AI image generation model developed by ShengShu Technology, a Beijing-based company founded in March 2023 by researchers from Tsinghua University’s Institute for AI Industry Research. Built on an innovative U-ViT architecture, Vidu has rapidly become a global leader in multimodal AI, reaching over 10 million users within its first three months and generating more than 300 million pieces of content to date.

What sets Reference-to-Image Q2 apart is its ability to accept up to seven reference images alongside a text prompt, intelligently blending information from all sources while following your creative direction. The model preserves subject identity, pose, outfit, and composition while giving you precise control over what changes—whether that’s lighting, background, camera angle, or artistic style.

On the Artificial Analysis Image Editing Leaderboard, Vidu Q2’s image generation capabilities rank ahead of OpenAI’s models and stand alongside Google’s Nano Banana, establishing it as a top-tier solution for professional image workflows.

Key Features and Capabilities

Multi-Reference Image Processing

Upload between one and seven reference images to guide generation. Unlike single-reference systems that can lose important details, Q2 intelligently synthesizes information across multiple inputs—maintaining facial features, brand elements, spatial layouts, and styling cues even in complex multi-subject compositions.

Cinematic Aspect Ratio Support

Generate content in the format you need:

• 1:1 – Perfect for social media profiles and thumbnails
• 4:3 / 3:4 – Classic photography ratios
• 16:9 / 9:16 – Widescreen and vertical video formats
• 21:9 – Ultra-wide cinematic banners
• Auto – Let the model select the optimal ratio based on your references and prompt

High-Resolution Output Up to 4K

Choose the resolution that matches your project requirements:

• 1080p – Fast previews and web-ready content
• 2K – Enhanced detail for flexible cropping and scaling
• 4K – Maximum sharpness for hero visuals, key art, and print applications

Prompt-Driven Creative Control

Combine your reference images with detailed prompts to reshape every aspect of the output. Specify lighting conditions (“dramatic studio lighting, golden hour”), camera settings (“85mm lens, shallow depth of field”), or stylistic directions (“oil painting aesthetic, impressionist brushstrokes”) while the model preserves your core subjects.

Reproducible Results with Seed Control

Lock in specific outputs using seed values for consistent regeneration, or use random seeds (-1) when exploring creative variations.

Real-World Use Cases

Product Photography and E-Commerce

Maintain absolute consistency across your product catalog. Upload reference images of your product and generate variations with different backgrounds, lighting setups, and staging—all while keeping the product looking identical. This is especially valuable for brands that need seasonal campaign variations without reshooting.

Character-Driven Storytelling

For graphic novels, children’s books, game development, and animation pre-production, Reference-to-Image Q2 solves the persistent challenge of keeping characters recognizable across dozens or hundreds of scenes. Generate your protagonist in new environments, poses, and expressions while preserving their defining features panel after panel.

Marketing Campaign Consistency

Create unlimited variations of campaign visuals from a single photoshoot. Different outfits, settings, and expressions—all perfectly consistent with your brand’s visual identity. Marketing teams report significant cost and time savings compared to traditional production methods.

Storyboarding and Pre-Visualization

Generate cinematic-quality storyboard frames that maintain spatial layout and subject consistency. Complex compositions with multiple characters remain coherent, with each element clearly readable and true to its source material.

Style Transfer and Artistic Exploration

Use reference images to lock in your subject while freely experimenting with artistic styles. Transform professional headshots into oil paintings, anime illustrations, or vintage photography—the subject stays consistent while the aesthetic transforms completely.

Getting Started on WaveSpeedAI

Accessing Vidu Reference-to-Image Q2 through WaveSpeedAI gives you all the power of this advanced model with the infrastructure advantages our platform provides:

1. Navigate to the model: Visit wavespeed.ai/models/vidu/reference-to-image-q2
2. Upload your references: Add one to seven reference images that capture the subjects, poses, or compositions you want to preserve
3. Craft your prompt: Describe what should change—new backgrounds, lighting conditions, camera angles, or artistic styles
4. Select your output settings: Choose your aspect ratio (or let auto mode decide) and resolution tier
5. Generate: Hit run and receive your results in seconds

Pricing That Scales With Your Needs

WaveSpeedAI offers transparent, usage-based pricing:

1-3 Reference Images:

Resolution	Price per Image
1080p	$0.04
2K	$0.06
4K	$0.07

4-7 Reference Images:

Resolution	Price per Image
1080p	$0.05
2K	$0.10
4K	$0.15

Why WaveSpeedAI?

• No Cold Starts: Your requests begin processing immediately—no waiting for model initialization
• Fast Inference: Optimized infrastructure delivers results quickly, even at 4K resolution
• Ready-to-Use REST API: Integrate directly into your production pipelines with straightforward API calls
• Affordable at Scale: Competitive pricing makes high-volume creative production economically viable

Tips for Optimal Results

To get the most from Reference-to-Image Q2:

• Use clean, well-lit reference images: Avoid heavy motion blur or extreme compression in your source material
• Maintain stylistic consistency: When using multiple references, keep lighting and medium similar across images for best blending
• Be explicit in your prompts: Clearly state both what must stay the same (“same person and outfit”) and what should change (“different background, sunset lighting”)
• Start at 2K for hero shots: Generate at higher resolution, then downscale slightly for enhanced perceived sharpness

Conclusion

Vidu Reference-to-Image Q2 represents a significant advancement in AI-assisted creative production. By solving the consistency problem that has plagued multi-image workflows, it opens new possibilities for brands, studios, and individual creators who need reliable, scalable visual content generation.

Whether you’re maintaining character identity across a graphic novel, generating campaign variations from limited source material, or creating production-quality storyboards, Reference-to-Image Q2 delivers the control and consistency that professional workflows demand.

Ready to transform your creative pipeline? Try Vidu Reference-to-Image Q2 on WaveSpeedAI today and experience what’s possible when multi-reference image generation actually works.