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Multi-Image Reference

Reference to Video: Consistent AI Videos from Your Images

Upload multiple reference images to generate videos that maintain visual consistency. Perfect for character animation, product videos, and storytelling.

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Try Reference to Video How It Works
Reference to Video AI demo showing multiple reference images being converted into a consistent video on Aura AI

How Reference to Video Works

Three steps from reference images to a visually consistent AI video

1. Upload Reference Images

Select two or more reference images that define the look you want. These can be character portraits, product photos, scene sketches, or style references. The AI uses them as visual anchors for the entire video.

2. Describe the Scene

Write a text prompt that tells the AI what should happen in the video. Describe the motion, camera angle, environment, and mood. Your references handle the visuals while the prompt controls the action.

3. Generate Consistent Video

The AI produces a video that faithfully preserves the appearance from your reference images while following your prompt. Characters stay on-model, colors remain accurate, and scene elements stay coherent frame to frame.

Reference to Video AI Features

What makes multi-reference video generation a game-changer for creators

Visual Consistency

The core strength of reference-to-video AI is consistency. Every generated frame respects the visual information from your reference images, so characters, objects, and environments look the same throughout the video.

Multiple Reference Images

Unlike single-image animation, reference-to-video accepts multiple images. Provide different angles, expressions, or poses and the AI synthesizes them into a coherent understanding of your subject.

Character Preservation

Maintain facial features, clothing details, body proportions, and accessories across every second of generated video. The AI learns identity from your references and keeps the character on-model throughout.

Scene Continuity

Backgrounds, lighting conditions, and environmental elements remain stable from the first frame to the last. Reference-to-video prevents the visual drift that plagues standard text-to-video generation.

Style Transfer

Your reference images define the artistic style of the output. Whether you work with photorealistic photos, anime illustrations, or watercolor paintings, the generated video inherits and preserves that style.

Professional Output

Videos are generated in HD resolution with no watermarks, ready for commercial use. Whether you need content for social media, client projects, or brand campaigns, the output is production-ready.

Use Cases for Reference to Video

How creators and businesses use multi-reference AI video generation

Character Animation

  • Provide reference images of an original character from multiple angles
  • Generate animated sequences where the character moves, talks, and emotes
  • Maintain identity consistency across multiple video clips for series content

Product Showcase Series

  • Upload product photos from different angles as references
  • Create dynamic video showcases with smooth rotations and lifestyle scenes
  • Produce a consistent series of videos for e-commerce listings and ads

Storyboard to Video

  • Use hand-drawn storyboard frames as reference images
  • Transform sketches into fully animated video scenes
  • Maintain the visual narrative and character designs from your storyboard

Brand-Consistent Content

  • Set brand colors, mascots, and visual identity through reference images
  • Generate marketing videos that always match your brand guidelines
  • Scale content production without sacrificing visual coherence

Why Reference to Video Is a Breakthrough for AI Creators

One of the biggest challenges in AI video generation has always been consistency. Standard text-to-video tools can produce impressive individual clips, but ask them to maintain a specific character appearance or scene style across multiple generations and the results often drift. Faces change subtly between frames, clothing details shift, and the overall look feels disconnected. Reference-to-video AI solves this problem at its root.

By providing multiple reference images, you give the AI a rich visual context that goes far beyond what a text prompt alone can convey. The model does not just match keywords; it learns the specific features, textures, proportions, and color palettes present in your images. When it generates video, every frame is cross-checked against those references to ensure the output stays faithful to your original vision.

Aura AI brings reference-to-video capabilities to a platform that already hosts more than 20 AI models for video and image generation. This means you can combine multi-reference consistency with the unique strengths of different models. Use one model for cinematic realism and another for stylized animation, all while keeping your characters and scenes visually coherent. For studios, agencies, and independent creators who need to produce serialized content, product video libraries, or character-driven stories, reference-to-video removes the biggest bottleneck in AI-assisted production.

The workflow is straightforward: upload your references, write your prompt, and generate. There is no need for complex setup, external tools, or post-production fixes. The AI handles the hard work of maintaining visual identity so you can focus on storytelling and creative direction. Whether you are building an animated series, launching a product campaign, or experimenting with a new visual style, reference-to-video on Aura AI gives you the consistency that turns individual clips into a cohesive body of work.

Frequently Asked Questions

Everything you need to know about reference-to-video on Aura AI

What is reference-to-video AI generation? +
Reference-to-video is an AI video generation technique that uses multiple reference images as visual anchors. Instead of generating from a single image or text prompt alone, the AI analyzes several images to understand character appearance, scene composition, and visual style, then produces a video that stays consistent with those references across every frame.
How many reference images can I upload? +
On Aura AI, you can upload multiple reference images depending on the model you select. Typically two to four reference images produce the best results, giving the AI enough visual context to maintain consistency without conflicting guidance.
Does reference-to-video preserve character identity? +
Yes. One of the main advantages of reference-to-video is character preservation. By providing multiple angles or poses of the same character, the AI learns facial features, clothing, and proportions, then maintains those details throughout the generated video.
What types of content work best with reference-to-video? +
Reference-to-video excels at character animation, product showcase series, storyboard-to-video conversion, and brand-consistent marketing content. Any project where visual consistency matters across frames will benefit from this approach.
Is reference-to-video available on mobile? +
Yes. Aura AI supports reference-to-video on both the web platform and mobile apps for iOS and Android. Upload your reference images from your device gallery, describe the scene, and generate consistent videos anywhere.

Create Consistent AI Videos from Your Images

Upload reference images and generate videos that stay true to your vision -- no watermarks, HD quality

Try Reference to Video Read the Guide