Vidu Q2 Reference-to-Image

Create images with consistent subjects using reference photos and prompts.

"The little devil is looking at the apple on the beach and walking around it."

Image 1

Image 2

Generated Result

Generated

~15-20 seconds

Upload your image and transform it in seconds

12,000+ images created this month

📄 About Vidu Q2 Reference-to-Image

Vidu Q2 Reference-to-Image is a cutting-edge AI image generation model designed to create visually compelling images by combining user-provided reference images with detailed text prompts. This advanced tool stands out for its ability to maintain consistent subject appearance across multiple generations, making it a powerful solution for creative professionals, designers, marketers, and anyone seeking to produce high-quality, customized visuals. The core technology behind Vidu Q2 Reference-to-Image leverages state-of-the-art machine learning algorithms that analyze reference images, extract key visual features, and intelligently blend these with the context provided by your prompt. Users can upload between one and ten reference images, ensuring the generated output stays true to the desired subject or theme. Whether you’re aiming to keep a brand mascot’s appearance consistent in various settings, generate character sheets for animation, or simply explore creative visual storytelling, this model delivers exceptional results. A highly flexible input schema allows you to craft a detailed prompt of up to 1500 characters, giving you the freedom to specify scenes, emotions, actions, and more. The aspect ratio of the output image can be selected from 16:9 (landscape), 9:16 (portrait), or 1:1 (square), which ensures your images are perfectly suited for social media, print, or web use. For professionals who require reproducibility, an optional random seed parameter is available, enabling you to revisit and regenerate identical outputs if needed. Vidu Q2 Reference-to-Image’s capabilities make it a versatile tool across a range of applications. Designers can ensure product or character consistency across marketing campaigns and collateral. Content creators and illustrators can rapidly generate variations on a theme or character while maintaining visual uniformity. Marketers and branding specialists will appreciate the ability to create on-brand imagery that aligns with their corporate identity. Even educators and storytellers can use this tool to visualize concepts or create educational materials that require recurring visual elements. The platform operates on a pay-as-you-go credit system, allowing users to scale their usage according to project needs without upfront commitments. With a typical generation time of 15–20 seconds, Vidu Q2 Reference-to-Image delivers fast, reliable outputs, supporting both experimentation and professional workflows. In summary, Vidu Q2 Reference-to-Image is an essential AI tool for anyone who values visual consistency, creative flexibility, and high-quality image generation. Its intuitive interface, robust feature set, and advanced reference-to-image capabilities make it a standout solution in the AI-powered image editing landscape.

✨ Key Features

Generates images from prompts while maintaining consistent subject appearance using reference photos.

Supports uploading 1-10 reference images for nuanced control over the generated output.

Flexible prompt input allows up to 1500 characters for detailed scene and style descriptions.

Choose from multiple aspect ratios: 16:9 (landscape), 9:16 (portrait), and 1:1 (square) to suit different platforms.

Optional random seed parameter ensures reproducible image generations for consistent results.

Fast generation time—typically 15-20 seconds per image, enabling rapid iteration and creativity.

Intuitive user interface with support for multiple file uploads and easy prompt customization.

💡 Use Cases

⚡Maintaining character or mascot consistency across marketing and branding materials.

⚡Generating concept art or storyboard panels with a recurring subject in various scenes.

⚡Creating product images with uniform appearance for ecommerce or advertising.

⚡Visualizing creative ideas or narratives for comics, games, or animation projects.

⚡Developing educational resources featuring consistent visual elements or characters.

⚡Enhancing social media posts with branded, on-topic imagery.

⚡Rapidly prototyping design ideas with visual continuity.

🎯 Best For

🎯 Professional designers, marketers, illustrators, content creators, and brand managers seeking consistent, high-quality image generation.

👍 Pros

✓Ensures consistent appearance of subjects across multiple images.

✓Highly customizable with detailed prompt and multiple reference image support.

✓Quick image generation supports fast-paced creative workflows.

✓Flexible aspect ratio options for diverse output needs.

✓User-friendly interface suitable for both beginners and professionals.

✓Reproducible results with the optional seed parameter.

⚠️ Considerations

△Requires high-quality reference images for best results.

△Limited to a maximum of 10 reference images per generation.

△Output quality relies on the clarity and relevance of provided prompts.

△Advanced customization may require some experimentation.

📚 How to Use Vidu Q2 Reference-to-Image

Prepare 1 to 10 high-quality reference images representing the subject or style you want to maintain.

Write a detailed text prompt (up to 1500 characters) describing the desired scene, action, or mood.

Upload your reference images using the model interface's multiple file option.

Select your preferred aspect ratio: 16:9 (landscape), 9:16 (portrait), or 1:1 (square).

Optionally, set a random seed if you want reproducible results.

Click generate and review the output image; repeat with adjustments as needed for optimal results.

Ready to try Vidu Q2 Reference-to-Image?

Get 10 free credits — no credit card required

Start Free →

Frequently Asked Questions

The model analyzes and extracts visual features from uploaded reference images, ensuring that the key characteristics of the subject are consistently maintained across all generated images, even when the prompt or scene changes.

Yes, you can upload between one and ten reference images. Using multiple images helps the model better understand and replicate the subject’s appearance from different angles or in various contexts, leading to more accurate and consistent outputs.

Vidu Q2 Reference-to-Image supports 16:9 (landscape), 9:16 (portrait), and 1:1 (square) aspect ratios, allowing you to create images tailored for different social media platforms, print, or web use.

Pricing varies by model and is based on a pay-as-you-go credit system, which allows users to only pay for the image generations they use, making it flexible for both occasional and frequent users.

Yes, by setting the random seed parameter, you can ensure that the same prompt and reference images will generate an identical output, making it easy to revisit or adjust previous creations.