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Reference to Video: A Complete Guide to Creating Consistent AI Videos with Visual References

Explore how visual references can guide a new video, how to assign each input a role, and what to check in the result.

Create More Controllable AI Videos with Visual References

AI video generation has changed the way creators produce visual content. Instead of recording every scene manually, users can now generate cinematic videos from simple text prompts. However, text-only generation has an important limitation: control. A text prompt can describe what you want to create, but it cannot always guarantee that the generated video will match your exact vision. For example:

A character may look different between scenes.

A product may change shape or color.

A specific environment may not be recreated accurately.

The motion style may not match the original idea.

Reference to Video can help guide the result by allowing users to provide images and videos as visual guidance. Instead of asking AI to imagine everything from text, creators can give the model real visual references and let AI generate new videos while attempting to preserve important details. Results can vary. Creators may use references to guide the following goals; these are not guaranteed outcomes:

More consistent characters

More accurate products

More controlled environments

More stable visual styles

More predictable results

This makes AI video generation closer to a creative production workflow rather than random generation.

What Is Reference to Video?

Reference to Video is an AI video generation technology that uses uploaded images and videos as references to guide the video creation process. Unlike traditional text-to-video generation, where AI creates everything based only on a written prompt, Reference to Video allows users to provide additional visual information. The AI model analyzes the reference materials and understands important visual elements, such as: Character appearance Facial features Clothing details Object structure Scene layout Lighting style Movement patterns Then, the model combines these references with your text instructions to generate a new video. A simple way to understand it: Text tells AI what should happen. References tell AI what things should look like. For example:

Reference images:

A female character images A luxury apartment interior

Prompt:

"She walks toward the window, looks outside, and slowly turns back to the camera." The AI can generate a video where the character and environment remain consistent with the provided references.

Character and scene image references
Image References
Video Example

How Does Reference to Video Work?

Reference to Video combines visual understanding and video generation technologies to create more controllable results. The workflow usually includes three main stages:

1. Reference Analysis: Understanding Your Visual Inputs

The first step is understanding the uploaded reference materials. When you upload images or videos, the AI analyzes visual information including:

Character Identity

The model identifies important identity features:

Face structure

Hair style

Body appearance

Clothing

Unique visual characteristics

This helps maintain the same character during video generation. For example, if you upload several images of the same person from different angles, the model can better understand that these images represent one consistent identity.

Object and Product Understanding

Reference images can also guide objects and products. The AI can understand:

Product shape

Brand design elements

Material appearance

Color details

This is especially useful for:

Product advertisements

E-commerce videos

Brand campaigns

Instead of generating a random product, the AI uses your reference as the visual source.

Scene and Style Understanding

References can define the overall visual direction:

Location

Architecture

Lighting

Color atmosphere

Cinematic style

For example, a reference image of a modern office can guide the AI to create videos with the same environment style.

Reference analysis

2. Reference Fusion: Combining Visual Guidance with Prompts

After understanding the references, the AI combines different types of information:

Visual references+Text instruction +Motion description + Camera direction =Generated video

This combination gives creators more control over the final result. For example: Reference:A fashion model wearing a black dress. Prompt:"Create a cinematic fashion video where the model walks through a luxury hotel hallway. The camera slowly follows her movement." The AI understands:

Who the person is

What she is wearing

What environment to create

How the movement should happen

3. Video Generation: Creating New Scenes with Consistency

The final stage is generating the video. During generation, the AI creates:

Character movements

Camera motion

Environmental changes

Lighting effects

Scene transitions

At the same time, it attempts to preserve the key elements from the references.This is what makes Reference to Video different from traditional AI video generation. The goal is not just creating a beautiful video.The goal is creating a video that follows your creative direction.

Video generation

Reference to Video vs Text-to-Video vs Image-to-Video

Understanding the difference between these AI video generation methods can help you choose the right workflow.

TechnologyInputBest ForMain Limitation
Text-to-VideoText promptCreating new ideas quicklyLess control over details
Image-to-VideoOne image + promptAnimating existing imagesLimited information from one image
Reference to VideoMultiple images/videos + promptControlled and consistent video creationRequires better reference preparation

Text-to-Video

Text-to-video creates videos from descriptions. Example: "A woman walking through a futuristic city at sunset."

The AI generates the entire scene. This is useful for:

Exploring ideas

Creating concept videos

Quick experiments

However, the creator has limited control over exact details.

Text to video

Image-to-Video

Image-to-video starts with a single image and adds motion. Example: Input: A portrait photo Output: The person smiles, moves naturally, and the camera zooms in. It works well for:

Photo animation

Social media content

Simple motion effects

However, one image may not provide enough information about identity, style, or movement.

Image to video

Reference to Video

Reference to Video provides multiple visual inputs. Users can upload:

Multiple images

Short videos

Character references

Product references

Scene references

This allows AI to understand more context and create more consistent videos.

Reference to video

What Can You Use as References?

Reference to Video supports different types of visual inputs.

Image References

Check the current upload panel for supported image counts. Images can be used for:

1.Character Creation

Character references help maintain identity consistency. Recommended references include:

Front view

Side view

Full-body view

Different expressions

Clothing details

More complete references help AI better understand the character. Common use cases:

AI storytelling

Virtual characters

Short films

Social media creators

2.Product Videos

Reference images are useful for creating professional product videos. Examples:

Product showcase videos

Advertising clips

E-commerce content

Upload:

Product images

Packaging images

Lifestyle images

Then describe the desired commercial scene. Example: "Create a premium product commercial with the bottle rotating on a glass surface under studio lighting."

3.Environment and Scene Design

Reference images can define:

Locations

Interior design

Architecture

Atmosphere

For example: Upload: A luxury hotel lobby image. Generate: "A cinematic scene of a character entering the hotel lobby."

Video References

Check the current upload panel for supported video counts and input duration. Video references provide additional information that images cannot provide. They help AI understand:

Motion patterns

Human actions

Camera movement

Timing

Animation style

For example: A short reference video showing someone walking can help guide:

Walking rhythm

Body movement

Camera tracking style

How to Create a Reference to Video

Creating an AI video with references is simple.

Step 1: Prepare Your Reference Materials

Good references should be:

Clear

High-quality images and videos provide better visual information.

Consistent

Use references that represent the same character, object, or style.

Relevant

Only upload materials that help explain your creative idea.

Avoid:

Low-resolution images

Heavy filters

Conflicting character designs

Unrelated references

Step 2: Upload Your Images and Videos

Upload your reference materials and provide the visual information you want the AI model to follow. You can upload:

Supported image references

Supported video references

Files that meet the current upload panel's format and duration requirements

The AI analyzes these references to understand important visual elements before generating the final video, including character identity, object details, scene structure, and motion information.

Step 3: Write a Detailed Prompt

A well-structured prompt helps the AI understand your creative intention more accurately. A good Reference to Video prompt usually includes five key elements:

1. Subject

Who or what appears? Example: "A young woman wearing an elegant black dress."

2. Action

What happens? Example: "She walks slowly toward the camera and smiles."

3. Environment

Where does it happen? Example: "In a modern luxury apartment."

4. Camera Movement

How should the camera move? Example: "Slow cinematic dolly-in shot."

5. Visual Style

What is the overall look? Example: "Realistic movie style with soft cinematic lighting."

Reference to Video Prompt Example

A complete prompt: Using the reference character and living room, create a sensual 10-second cinematic scene. The adult woman walks into the bedroom, where an adult man gently pulls her close and kisses her passionately. The camera follows them smoothly from the living room into the bedroom. Warm, intimate lighting, realistic movement, cinematic atmosphere.

Reference to Video: Supported Formats and Limits

CapabilityLimit
Image ReferencesCheck the current upload panel
Video ReferencesCheck the current upload panel
Maximum Reference Video LengthCheck current input requirements
Maximum Generated Video LengthCheck current generation settings
Output ResolutionCheck current generation settings

Best Practices for Better Reference to Video Results

Getting better results with Reference to Video starts with choosing the right references and giving the model clear instructions. You don't always need multiple images or perfectly matching references. The best setup depends on what you want to control in the generated video.

1. Choose References Based on Your Goal

Start with the visual elements you want to preserve or control.

If your goal is to maintain a character's identity, a single clear character image may be enough. You can also provide multiple images of the same person from different angles to give the model more visual information about their appearance.

These images do not have to show the same outfit. Different clothing, hairstyles, or poses can still be useful when the main goal is to represent the same person's identity.

For product-focused videos, prioritize clear images of the product and its important details. For scene-focused videos, choose references that show the environment, composition, or atmosphere you want to reproduce.

2. Use Clear, Relevant References

Choose images and videos that clearly show the details you want the model to understand.

For character references, make sure the face and other important features are visible. For products, avoid images where key details are hidden by shadows, reflections, or obstructions. For motion references, choose footage in which the subject and movement are easy to follow.

You don't need to upload the maximum number of references. A few relevant, high-quality inputs can be more useful than many unrelated ones.

3. Decide Which Details Should Stay Consistent

Think about what should remain the same and what is allowed to change.

If you want to preserve a character's identity while changing outfits or environments, use references that clearly establish the character and describe the intended changes in your prompt.

If you want to reproduce a specific outfit or product design, include references that show those details clearly. If your goal is to maintain a particular scene or visual style, prioritize references that represent that environment or style.

The key is not to make every reference identical, but to make sure the references support your intended result.

4. Describe Actions and Changes Clearly

Use your prompt to explain what should happen in the video, especially when the scene or action differs from the reference materials.

For example, describe how the character moves, where the action takes place, and how the camera should behave. If the character should walk from a living room into a bedroom, state that transition clearly rather than only describing the final scene.

Keep your instructions aligned with the references. When you want to change something, such as the outfit, background, or action, make that intention explicit.

Reference preparation tips

Start Creating with Reference to Video

AI video generation is moving from simple text prompts toward more controllable creative workflows. Reference to Video gives creators the ability to guide AI with real visual examples, making it easier to generate consistent characters, products, environments, and cinematic scenes. Instead of starting from a blank canvas, bring your ideas, references, and imagination together. Create your next AI video with Reference to Video.