How do credit costs compare to other image-to-video models on JAI Portal?

Vidu Q2 Reference to Video Pro uses a pay-per-generation credit system, with costs varying by duration, resolution, and reference complexity. Multi-reference processing typically requires more credits than single-input models like <a href="/model/seedance-2-0-fast-image-to-video">Seedance 2.0 Fast</a> or <a href="/model/ltx-2-3-image-to-video-fast">LTX 2.3 Fast</a>, but delivers significantly higher control over subject consistency and motion. For budget-conscious users generating simple animations, consider starting with faster models for testing, then upgrade to Vidu Q2 Pro for final production when precision matters. JAI Portal's pay-as-you-go structure means you only pay for successful generations, with no subscription lock-in.

Vidu Q2 Reference to Video Pro

Create videos using reference images and videos to control subject appearance, motion, and camera.

Input

Original

Output

Generated

Describe your scene and generate a video in seconds

8,500+ videos generated this month

📄 About Vidu Q2 Reference to Video Pro

Vidu Q2 Reference to Video Pro is an advanced AI video generation model designed to transform your creative vision into dynamic, high-quality videos. Leveraging the latest in deep learning and reference-based synthesis, this model enables users to upload multiple images and videos as references, allowing for precise control over subject appearance, motion, and camera work. Whether you are aiming to animate a character, replicate specific visual effects, or emulate cinematic camera movements, Vidu Q2 Pro delivers professional-grade results through an intuitive interface. The core strength of Vidu Q2 Pro lies in its ability to harness both image and video references. By combining up to seven reference images (or four if videos are included) and two reference videos, users can dictate everything from the visual style and subject identity to the movement dynamics and camera angles. This multi-modal approach ensures that generated videos are not only visually consistent with your references but also fluid and realistic in motion. With customizable parameters such as video duration (ranging from 2 to 8 seconds), output resolution (540p, 720p, or 1080p), and aspect ratio options (including widescreen, vertical, square, and more), Vidu Q2 Pro adapts seamlessly to a wide variety of creative needs. Users can further fine-tune the movement amplitude of objects within the frame, ensuring that every animation matches the intended energy and pacing. The option to add background music rounds out the creative toolkit, allowing for fully polished, shareable videos. Vidu Q2 Reference to Video Pro is ideal for designers, animators, marketers, and content creators seeking to produce compelling video content without the complexities of traditional video editing or animation. Use cases include character animation, branded marketing videos, social media content, product showcases, and even educational materials. The intuitive interface and rapid generation time—producing results in as little as 60-120 seconds—make it a go-to solution for both professionals and hobbyists alike. By harnessing AI-driven video generation, Vidu Q2 Pro empowers users to turn static concepts into immersive stories. Its reference-based approach bridges the gap between creative intention and execution, offering unparalleled flexibility and control. Whether you are crafting promotional clips, prototyping ideas, or experimenting with new visual styles, Vidu Q2 Reference to Video Pro stands out as a cutting-edge tool for next-generation video creation.

✨ Key Features

Multi-reference input: Upload up to 7 images or 2 videos to precisely control subject appearance, motion, and camera work.

Flexible duration and resolution: Generate videos from 2 to 8 seconds in 540p, 720p, or 1080p output.

Advanced aspect ratio selection: Choose from widescreen, vertical, square, and custom ratios for platform-specific content.

Adjustable movement amplitude: Fine-tune how much objects move in each frame for dynamic or subtle animations.

Optional background music: Enhance video impact with integrated background music.

AI-powered reproducibility: Use a random seed for consistent video results across multiple generations.

Fast generation time: Produce high-quality videos in approximately 60-120 seconds.

💡 Use Cases

⚡Animating static character images for social media campaigns.

⚡Creating branded promotional videos with specific camera movements.

⚡Generating short video ads using product reference images and demo videos.

⚡Prototyping cinematic sequences with controlled motion and visual effects.

⚡Developing educational video clips with custom visuals and narration.

⚡Designing dynamic storyboards for animation or film projects.

⚡Producing personalized greetings or announcements with user-provided references.

🎯 Best For

🎯 Professional designers, marketers, animators, and content creators seeking advanced, reference-based AI video generation.

👍 Pros

✓Highly customizable with multiple reference images and videos.

✓Supports various aspect ratios and resolutions for versatile output.

✓Delivers rapid video generation for fast prototyping and iteration.

✓Intuitive user interface suitable for both professionals and beginners.

✓Enables precise control over animation style and movement.

✓Produces visually consistent and high-quality results.

⚠️ Considerations

△Maximum video duration is limited to 8 seconds.

△Requires high-quality reference inputs for best results.

△May need some experimentation to achieve desired motion effects.

△Complexity increases with multiple reference sources.

📚 How to Use Vidu Q2 Reference to Video Pro

Prepare your reference images (up to 7) and videos (up to 2) that reflect your desired subject and motion.

Enter a detailed text prompt describing the scene, effects, and camera work you want the AI to generate.

Upload your reference files using the intuitive interface.

Select your preferred video duration, resolution, aspect ratio, and movement amplitude settings.

Optionally, enable background music to enhance your video.

Submit your request and receive your generated video in about 60-120 seconds.

💡 Pro Tips for Vidu Q2 Reference to Video Pro

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Match Reference Quality to Output Goals Use high-resolution, well-lit reference images for best results. Blurry or low-quality inputs reduce output fidelity. For character-focused videos, provide multiple angles of the same subject. If you need faster turnaround with simpler inputs, consider Seedance 2.0 Fast Image to Video for straightforward image-to-video tasks without multi-reference complexity.

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Combine Image and Video References Strategically Upload up to 7 images for subject appearance or mix 4 images with 2 videos for motion guidance. Video references define camera movements and pacing, while images lock in visual identity. This dual-reference approach gives you granular control unavailable in single-input models like LTX 2.3 Image to Video Fast, making Vidu Q2 Pro ideal for branded content requiring consistent character design and specific cinematography.

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Adjust Movement Amplitude for Scene Energy Set movement amplitude to small for subtle animations like product close-ups, medium for standard character actions, or large for dynamic action sequences. Auto mode works well for most prompts, but manual control prevents over-animation in static scenes or under-animation in high-energy content. Experiment across generations to find the sweet spot for your creative vision and pacing requirements.

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Optimize Aspect Ratio for Platform Distribution Choose 16:9 for YouTube and web embeds, 9:16 for Instagram Reels and TikTok, 1:1 for Instagram feed posts, and 4:3 for traditional broadcast. Vidu Q2 Pro supports six aspect ratios natively, eliminating post-generation cropping. For projects requiring multiple platform versions, generate once per ratio rather than resizing, preserving composition integrity and avoiding letterboxing or quality loss during conversion.

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Use Seed Values for Iterative Refinement Lock a seed number to reproduce the same motion patterns across multiple prompts or reference sets. This is critical for A/B testing different text descriptions, tweaking movement amplitude, or swapping reference files while maintaining consistent camera work. Seed-based reproducibility accelerates creative iteration and ensures brand consistency across multi-video campaigns, especially when collaborating with team members or clients requiring revision cycles.

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Layer Background Music for Polished Output Enable the BGM option to add atmospheric audio, enhancing viewer engagement for social media or marketing videos. This feature saves post-production time by delivering audio-visual content in one generation. For projects requiring custom soundtracks or voiceovers, disable BGM and handle audio separately. Compare this integrated approach to models like Kling Video v3 Pro Image to Video, which focus solely on visual output.

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Frequently Asked Questions

You can upload up to 7 images or up to 2 videos as references. Images help define subject appearance, while videos guide motion and camera work. Combining both allows for highly customized video generation.

Video generation typically takes between 60 to 120 seconds, depending on the complexity of your input and chosen settings. This rapid turnaround makes it ideal for fast-paced creative workflows.

Yes, you have full control over subject appearance, motion, camera angles, and even movement amplitude. By adjusting reference files and settings, you can create videos that match your specific vision.

Pricing varies by model and is based on a pay-as-you-go credit system. This flexible approach allows you to pay only for what you use, making it suitable for both occasional and frequent users.

Absolutely. Vidu Q2 Reference to Video Pro produces high-quality, customizable videos that are ideal for marketing, branding, animation, and other professional applications.

Vidu Q2 Reference to Video Pro uses a pay-per-generation credit system, with costs varying by duration, resolution, and reference complexity. Multi-reference processing typically requires more credits than single-input models like Seedance 2.0 Fast or LTX 2.3 Fast, but delivers significantly higher control over subject consistency and motion. For budget-conscious users generating simple animations, consider starting with faster models for testing, then upgrade to Vidu Q2 Pro for final production when precision matters. JAI Portal's pay-as-you-go structure means you only pay for successful generations, with no subscription lock-in.

Yes, all videos generated with paid credits on JAI Portal include full commercial-use rights. This applies to Vidu Q2 Reference to Video Pro output, allowing you to incorporate generated videos into client deliverables, marketing campaigns, product demos, social media ads, and revenue-generating content without additional licensing fees. Always ensure your reference images and videos are legally owned or licensed for your intended use, as the model reproduces visual elements from uploaded materials. For high-stakes commercial work requiring brand consistency across multiple assets, Vidu Q2 Pro's seed-based reproducibility and multi-reference control make it particularly valuable compared to less customizable alternatives.

Vidu Q2 Pro outputs MP4 video files optimized for web playback and social media distribution. Generated videos maintain smooth frame rates suitable for standard playback across platforms like YouTube, Instagram, TikTok, and LinkedIn. The model supports durations from 2 to 8 seconds and resolutions up to 1080p Full HD, with aspect ratios including 16:9, 9:16, 1:1, 4:3, and 3:4. For projects requiring longer durations, consider generating multiple clips and stitching them in post-production, or explore models like Kling Video v3 Pro, which may offer extended duration options. All outputs are immediately downloadable upon generation completion.

Vidu Q2 Pro excels at interpreting detailed prompts when paired with clear reference materials. For multi-subject scenes, provide reference images for each character or object, and structure your prompt to describe their interactions explicitly. Use notation like '@Figure 1 Character Reference@' to link specific references to prompt elements, improving accuracy. The model performs best with prompts under 2000 characters that focus on one primary action or camera movement per generation. For highly complex scenes with multiple simultaneous actions, consider breaking the sequence into separate generations and compositing in post-production, or compare results with NVIDIA Cosmos Predict 2.5 for alternative motion synthesis approaches.

First, verify that reference images are sharp, well-lit, and clearly show the subject from multiple angles. Blurry or poorly lit references reduce model accuracy. Second, ensure your text prompt explicitly describes the desired action, camera work, and visual effects—vague prompts yield inconsistent results. Third, if using video references, confirm they demonstrate the exact motion or camera movement you want replicated. Experiment with movement amplitude settings (small, medium, large) to adjust object dynamics. For persistent issues, try locking a seed value and iterating only on prompt wording or reference selection. If results remain unsatisfactory, test alternative models like Pixverse v5.6 Image to Video to compare motion interpretation styles and identify the best fit for your creative vision.

⚖️ How Vidu Q2 Reference to Video Pro Compares

Vidu Q2 Reference to Video Pro stands out among JAI Portal's image-to-video models for its multi-reference architecture, allowing up to 7 images and 2 videos to guide subject appearance, motion, and camera work. This makes it ideal for branded content, character animation, and projects requiring strict visual consistency—use cases where Seedance 2.0 Fast or LTX 2.3 Fast may lack the granular control needed. Compared to Kling Video v3 Pro, Vidu Q2 Pro offers more reference slots and explicit motion amplitude tuning, while Kling may excel in longer durations or cinematic effects. For users prioritizing speed over customization, NVIDIA Cosmos Predict 2.5 delivers rapid results with simpler inputs. Choose Vidu Q2 Pro when your project demands precise subject replication, specific camera movements, or multi-angle character consistency—such as marketing videos featuring brand mascots, product demos with controlled cinematography, or animated storyboards requiring iterative refinement. The model's seed-based reproducibility and adjustable movement amplitude make it particularly valuable for professional workflows and client revisions. To compare Vidu Q2 Pro side-by-side with alternatives, visit JAI Portal's model comparison tool or start generating with pay-as-you-go credits at jaiportal.com/auth/signup.

Vidu Q2 Reference to Video Pro

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