Vidu Reference-to-Image

Create images with consistent subjects by combining reference images and text.

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

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Generated Result

Generated

~15-30 seconds

Upload your image and transform it in seconds

12,000+ images created this month

📄 About Vidu Reference-to-Image

Vidu Reference-to-Image is an advanced AI-powered image generation model designed to revolutionize the way creatives, marketers, and designers produce visuals with consistent subject appearance. By intelligently merging user-supplied reference images with detailed text prompts, this tool empowers users to create new images that preserve the distinctive features of their chosen subjects across various settings, actions, and styles. Whether you’re developing a brand mascot for marketing campaigns, crafting compelling storyboards, or maintaining visual continuity in product photos, Vidu Reference-to-Image offers unmatched flexibility and creative control. At the core of Vidu Reference-to-Image is state-of-the-art machine learning technology, expertly engineered to analyze multiple reference images and extract their visual characteristics. Users can upload between one and ten high-quality reference images, enabling everything from simple single-subject consistency to complex visual blending for multi-character scenarios. The model pairs these reference visuals with a powerful text prompt engine, accepting up to 1500 characters of description so users can direct the scene, mood, style, and narrative of the final image with remarkable precision. One of the defining strengths of Vidu Reference-to-Image is its ability to maintain visual consistency. This is crucial for professionals in industries where a character, mascot, or product must look identical across different promotional materials, social media posts, or creative projects. The model’s intelligent blending ensures that key subject traits—such as facial features, colors, and clothing—are retained, even as the environment or context changes according to the prompt. To further enhance creative output, Vidu Reference-to-Image supports three popular aspect ratios: Landscape (16:9), Portrait (9:16), and Square (1:1). This flexibility means users can generate images optimized for any platform—be it social media feeds, web banners, print materials, or digital ads. An optional seed parameter allows for either reproducible results or fresh, unique outputs every time, catering to both experimentation and precise creative needs. With a typical generation time of just 15-30 seconds per image, the workflow remains fast and efficient. Vidu Reference-to-Image is particularly valuable for branding professionals seeking to uphold visual standards, illustrators developing recurring comic or storyboard characters, and content creators who need cohesive image series for digital platforms. Artists and designers benefit from the rapid iteration and ability to explore creative variations while locking in core subject features. It’s equally useful for personal projects such as character sheets, avatars, or visual narratives where maintaining subject integrity is essential. The model’s clean, user-friendly interface ensures a seamless experience: simply upload your reference images, enter a detailed prompt, select your desired aspect ratio, and generate visually consistent images in moments. The intuitive design makes it accessible to both professionals and hobbyists, removing technical barriers and streamlining creative workflows. In summary, Vidu Reference-to-Image bridges the gap between inspiration and execution, delivering robust image generation capabilities that prioritize consistency, quality, and customization. Whether you’re working on a single campaign or an ongoing creative project, this AI model empowers you to realize your vision with precision and efficiency.

✨ Key Features

Combines up to 10 user-provided reference images with descriptive prompts to generate new, visually consistent images.

Advanced AI ensures subject appearance remains consistent across different scenarios, styles, and backgrounds.

Supports three versatile aspect ratios—16:9, 9:16, and 1:1—tailored for various platforms and creative needs.

Accepts rich, detailed prompts up to 1500 characters, allowing precise control over image content and style.

Optional seed parameter enables reproducible results or varied outputs for creative exploration.

Fast image generation, typically delivering results within 15-30 seconds per request.

Intuitive interface simplifies the process for both professional and personal users.

💡 Use Cases

⚡Creating consistent mascot or character images for branding and marketing materials.

⚡Generating storyboards, comics, and illustrations with recurring subjects and visual continuity.

⚡Producing cohesive social media visuals and ad creatives featuring the same subject in various contexts.

⚡Developing product images that preserve branding elements across multiple environments.

⚡Assisting artists and designers with rapid concept iteration while maintaining key traits.

⚡Crafting personalized avatars, character sheets, and visual narratives for personal or professional projects.

⚡Enhancing design workflows where visual consistency is crucial across multiple assets.

🎯 Best For

🎯 Professional designers, marketers, illustrators, and content creators who require consistent subject appearance in generated images.

👍 Pros

✓Ensures subject consistency across multiple generated visuals for branding and creative projects.

✓User-friendly interface with straightforward prompt and image upload options.

✓Supports flexible input combinations for creative versatility and complex scenes.

✓Fast and efficient image generation with customizable aspect ratios.

✓Ideal for both professional campaigns and personal creative endeavors.

✓Enables reproducible results through an optional seed parameter.

⚠️ Considerations

△Requires high-quality reference images for optimal results.

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

△Image generation time may increase with highly complex prompts or multiple inputs.

△Costs may accumulate for large-scale or high-volume projects.

📚 How to Use Vidu Reference-to-Image

Upload between 1 and 10 high-quality reference images representing the subject you want to maintain.

Enter a detailed prompt (up to 1500 characters) describing the desired scene, style, or action.

Select your preferred aspect ratio: Landscape (16:9), Portrait (9:16), or Square (1:1).

Optionally set a random seed if you wish to reproduce specific results.

Click the generate button to create your image.

Download or review the generated image, ensuring the subject's consistency and quality.

💡 Pro Tips for Vidu Reference-to-Image

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Upload Multiple Reference Angles for Best Consistency Use 3-5 reference images showing your subject from different angles—front, side, and three-quarter views work best. This helps the AI understand the subject's full appearance and maintain consistency across varied poses. Clear, well-lit photos with minimal background clutter yield the strongest results. Avoid mixing drastically different lighting conditions or image qualities in your reference set.

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Write Detailed Prompts for Precise Control Take advantage of the 1500-character prompt limit to describe not just the subject's action, but also lighting, mood, camera angle, and style. Specific details like "soft golden hour lighting" or "cinematic wide-angle shot" guide the AI toward your vision. For simpler edits without reference consistency, consider FLUX 2 Dev Edit or Qwen Image 2 Edit for quick modifications.

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Match Aspect Ratio to Your Platform Choose 16:9 for YouTube thumbnails and web banners, 9:16 for Instagram Stories and TikTok, and 1:1 for Instagram feed posts and profile images. Selecting the correct aspect ratio upfront saves you from cropping or resizing later, preserving the AI's composition and subject placement. This is especially important when maintaining brand consistency across multiple social channels.

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Use the Seed Parameter for Iterative Refinement If you generate an image you like but want to tweak the prompt slightly, note the seed value and reuse it. This keeps the underlying randomness consistent while your prompt changes guide the variation. It's perfect for A/B testing different backgrounds or actions with the same subject. Without a fixed seed, each generation introduces new random elements.

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Start with Single-Subject References Before Mixing If you're new to the model, begin with 2-3 images of a single subject to understand how it maintains consistency. Once comfortable, experiment with multiple subjects or blending features. For full-body portrait generation from just a face, try FLUX 2 Face to Full Portrait as a specialized alternative that excels at expanding facial references into complete figures.

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Combine with Other Models for Complex Workflows Generate your consistent subject images with Vidu Reference-to-Image, then upscale or refine them using other JAI Portal tools. For professional headshots with consistent facial features, pair this model with AI Headshot Generator for polished, business-ready results. This layered approach gives you both creative flexibility and professional finish in a single workflow.

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Frequently Asked Questions

The model analyzes the features of the uploaded reference images and applies these visual characteristics to each generated image. This process ensures the core subject looks consistent, even as the background, style, or scenario changes according to your prompt.

For best results, use clear, high-resolution images that distinctly showcase the subject's features. Avoid blurry or low-quality images, as these can reduce the model's ability to accurately maintain visual fidelity.

Yes, you can upload up to 10 reference images. The model blends their features based on your prompt, allowing for the creation of images with multiple subjects or intricate visual combinations.

Image generation usually takes between 15 and 30 seconds, depending on the complexity of your prompt and the number of reference images provided.

Pricing varies by model and is based on a pay-as-you-go credit system, allowing you to pay only for the images you generate.

Vidu Reference-to-Image operates on JAI Portal's pay-as-you-go credit system, with costs varying based on the number of reference images and prompt complexity. Typically, a single generation with 3-5 reference images costs between 15-25 credits, while simpler single-reference generations may cost less. Complex prompts with 10 reference images can reach 30-40 credits per generation. You only pay for successful outputs, and there are no subscription fees or monthly minimums. Check your credit balance before generating, and consider buying credits in bulk for better per-unit pricing if you plan multiple iterations or large projects.

Yes, all images generated with Vidu Reference-to-Image on JAI Portal come with full commercial-use rights once you've paid the generation credits. You can use the output in marketing campaigns, product packaging, social media ads, client deliverables, and any other commercial application without additional licensing fees. However, ensure your reference images are either owned by you or properly licensed for derivative work. If you upload copyrighted images without permission, you assume responsibility for any infringement. For brand mascots, product visuals, and recurring marketing assets, this model provides a cost-effective way to maintain consistency while retaining full commercial rights.

Vidu Reference-to-Image is versatile across styles, but it performs best with photorealistic and semi-realistic subjects. If your prompt specifies "photorealistic," "cinematic," or "natural lighting," the model excels at producing lifelike images. For stylized outputs like cartoon, anime, or illustration styles, the results depend heavily on your reference images and prompt clarity. If you need highly stylized edits or specific artistic filters, consider pairing this model with Nano Banana 2 Pro Edit or Bytedance Seedream v5 Lite Edit, which offer stronger stylization controls. Always preview outputs and iterate on prompts to dial in your desired aesthetic.

The model accepts common image formats including JPEG, PNG, and WebP for reference uploads. Output images are delivered as high-quality WebP or PNG files, depending on your account settings, with resolutions determined by your selected aspect ratio. Landscape (16:9) and portrait (9:16) outputs typically range from 1024px to 1536px on the long edge, while square (1:1) outputs are usually 1024x1024 or higher. For maximum quality, upload reference images at least 1024px on the shortest side. If you need specific resolution outputs or upscaling beyond the default, you can post-process with other JAI Portal upscaling models or download and resize locally.

Currently, Vidu Reference-to-Image on JAI Portal is optimized for single-generation requests through the web interface. For batch processing or API-driven workflows, you can use JAI Portal's API access (available on higher-tier accounts) to script multiple generations with varied prompts or seeds. This is ideal for marketers or agencies producing large volumes of branded content. If you need to generate dozens of variations quickly, consider setting up a simple script that loops through prompt variations while keeping reference images constant. For users without API access, you can manually queue multiple generations in separate browser tabs, though this is less efficient for high-volume needs.

⚖️ How Vidu Reference-to-Image Compares

Vidu Reference-to-Image stands out on JAI Portal for its specialized ability to maintain subject consistency across multiple generated images—a critical feature for branding, character development, and serialized content. Unlike general-purpose image editors like FLUX 2 Dev Edit or Qwen Image 2 Edit, which excel at one-off modifications but don't preserve subject identity across generations, Vidu Reference-to-Image is purpose-built for projects requiring visual continuity. If you're creating a mascot, recurring character, or product line where the subject must look identical in different settings, this model is your best choice. For users who need to generate full-body portraits from facial references alone, FLUX 2 Face to Full Portrait offers a more streamlined workflow but lacks the multi-image blending and scene customization of Vidu. Meanwhile, OpenAI GPT Image 2 Edit and Qwen Image 2 Pro Edit provide powerful editing capabilities but are better suited for modifying existing images rather than generating new scenes with consistent subjects. Choose Vidu Reference-to-Image when your priority is locking in a subject's appearance across varied contexts, and opt for other models when you need quick edits, stylization, or single-image transformations. Explore JAI Portal's side-by-side comparison tool or sign up to test multiple models and find the perfect fit for your creative workflow.